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12 Remote Git Python Jobs at companies like Doximity, Platform.sh and Teaching.com last posted 2 months ago

12 Remote Git Python Jobs at companies like Doximity, Platform.sh and Teaching.com last posted 2 months ago

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Doximity is transforming the healthcare industry. Our mission is to help doctors be more productive, informed, and connected. As a software engineer focused on our data stack, you'll work within cross-functional delivery teams alongside other engineers, designers, and product managers in building software to help improve healthcare. \n\nOur [team](https://www.doximity.com/about/company#theteam) brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand.  \n\n**About Us**\n* We rely heavily on Python, Airflow, Spark, MySQL and Snowflake for most of our data pipelines\n* We have over 350 private repositories in Github containing our pipelines, our own internal multi-functional tools, and [open-source projects](https://github.com/doximity)\n* We have worked as a distributed team for a long time; we're currently [about 65% distributed](https://blog.brunomiranda.com/building-a-distributed-engineering-team-85d281b9b1c)\n* Find out more information on the [Doximity engineering blog](https://engineering.doximity.com/)\n* Our [company core values](https://work.doximity.com/)\n* Our [recruiting process](https://engineering.doximity.com/articles/engineering-recruitment-process-doximity)\n* Our [product development cycle](https://engineering.doximity.com/articles/mofo-driven-product-development)\n* Our [on-boarding & mentorship process](https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity)\n\n**Here's How You Will Make an Impact**\n\n* Collaborate with product managers, data analysts, and data scientists to develop pipelines and ETL tasks in order to facilitate the extraction of insights from data.\n* Build, maintain, and scale data pipelines that empower Doximity’s products.\n* Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.\n* Spearhead, plan, and carry out the implementation of solutions while self-managing.\n\n**About you**\n\n* You have at least three years of professional experience developing data processing, enrichment, transformation, and integration solutions\n* You are fluent in Python, an expert in SQL, and can script your way around Linux systems with bash\n* You are no stranger to data warehousing and designing data models\n* Bonus: You have experience building data pipelines with Apache Spark in a multi-database ecosystem\n* You are foremost an engineer, making you passionate for high code quality, automated testing, and other engineering best practices\n* You have the ability to self-manage, prioritize, and deliver functional solutions\n* You possess advanced knowledge of Unix, Git, and AWS tooling\n* You agree that concise and effective written and verbal communication is a must for a successful team\n* You are able to maintain a minimum of 5 hours overlap with 9:30 to 5:30 PM Pacific time\n* You can dedicate about 18 days per year for travel to company events\n\n**Benefits**\n\nDoximity has industry leading benefits. For an updated list, see our career page\n\n**More info on Doximity\n**\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $3.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing steadily, and there’s plenty of opportunities for you to make an impact.\n\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n#Location\n- North America

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Doximity


Software Engineer, Data

verified
🇺🇸US-only

Software Engineer, Data


Doximity

🇺🇸US-only verified

python

sql

healthcare

healthtech

python

sql

healthcare

healthtech

🇺🇸US-only5mo
Doximity is transforming the healthcare industry. Our mission is to help doctors be more productive, informed, and connected. As a software engineer focused on our data stack, you'll work within cross-functional delivery teams alongside other engineers, designers, and product managers in building software to help improve healthcare. \n\nOur team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand.  \n\n**About Us**\n\n* We rely heavily on Python, Airflow, Spark, MySQL and Snowflake for most of our data pipelines\n* We have over 350 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects\n* We have worked as a distributed team for a long time; we're currently about 65% distributed\n\nFind out more information on the Doximity engineering blog\n* Our [company core values](https://work.doximity.com/)\n* Our [recruiting process](https://engineering.doximity.com/articles/engineering-recruitment-process-doximity)\n* Our [product development cycle](https://engineering.doximity.com/articles/engineering-recruitment-process-doximity)\n* Our [on-boarding & mentorship process](https://engineering.doximity.com/articles/software-engineering-on-boarding-at-doximity)\n\n**Here's How You Will Make an Impact**\n\n* Collaborate with product managers, data analysts, and data scientists to develop pipelines and ETL tasks in order to facilitate the extraction of insights from data.\n* Build, maintain, and scale data pipelines that empower Doximity’s products.\n* Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.\n* Spearhead, plan, and carry out the implementation of solutions while self-managing.\n\n**About you**\n\n* You have at least three years of professional experience developing data processing, enrichment, transformation, and integration solutions\n* You are fluent in Python, an expert in SQL, and can script your way around Linux systems with bash\n* You are no stranger to data warehousing and designing data models\n* Bonus: You have experience building data pipelines with Apache Spark in a multi-database ecosystem\n* You are foremost an engineer, making you passionate for high code quality, automated testing, and other engineering best practices\n* You have the ability to self-manage, prioritize, and deliver functional solutions\n* You possess advanced knowledge of Unix, Git, and AWS tooling\n* You agree that concise and effective written and verbal communication is a must for a successful team\n* You are able to maintain a minimum of 5 hours overlap with 9:30 to 5:30 PM Pacific time\n* You can dedicate about 18 days per year for travel to company events\n\n**Benefits**\n\nDoximity has industry leading benefits. For an updated list, see our career page\nMore info on Doximity\n\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $3.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing steadily, and there’s plenty of opportunities for you to make an impact.\n\n\n*Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.* \n\n#Location\n- 🇺🇸US-only

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Platform.sh


Customer Success Engineer

Customer Success Engineer


Platform.sh


customer success

git

php

python

customer success

git

php

python

9mo
As a  **Customer Success Engineer** you will be responsible to assess the nature of product or service issues and resolve support problems for customers and partners through support tickets, live chat, and occasional voice calls. Successful employees are willing to collaborate with other team members, able to meet deadlines, and excited to test new ideas, tools, and tactics. We are looking for motivators, go-getters, and ways to improve our processes, our products, and ourselves. As one of our Customer Success Engineers, you are our front line; when our customers think of how great Platform.sh is, they think of you.\n\n# Responsibilities\n **In a given day you might:**\n\n* Troubleshoot issues pertaining to the underlying infrastructure running customer applications.\n* Diagnose, debug, and document issues in both applications and systems.\n* Deploy and configure cloud infrastructure resources.\n* Troubleshoot, reproduce, and report bugs.\n* Become a product expert and work toward improving our customer facing documentation.\n* Participate in limited on-call shifts, providing timely responses to high priority tickets and incidents.\n* Work under limited supervision with considerable latitude for personal initiative.\n* Respond to customer inquiries through our ticketing solution, ZenDesk.\n* Participate in training teammates. \n\n# Requirements\n**Minimum Qualifications**\n\n* 3+ years combined of:\n* Web development using PHP, Python, Ruby, or Go.\n* Linux system administration.\n* Experience using git for version control.\n* Understanding of DNS as well as TLS and encryption.\n* Exceptional communication skills to provide clear and empathetic customer support.\n* This role is also open to those willing to work Saturdays and Sundays instead of the usual Mondays to Fridays. \n\n**Preferred Qualifications**\n\n* Experience with Magento, Symfony, TYPO3, and/or Drupal.\n* Understanding of CDNs or Varnish and web caching strategies.\n* Familiarity with IaaS solutions, such as AWS, Microsoft Azure, and Google Compute Engine.\n* Conversant in containerization technologies and techniques.\n* Knowledge of nginx, Galera, GlusterFS, and Puppet.\n* Sound Like a Good Fit? We’d love to talk to you!

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Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.\n\nYou will join our data engineering team build and maintain all aspects of our ingestion data pipelines, ETL processes, and data warehousing.\n\n**How you’ll make an impact:**\n\n* Collaborate with product managers, data analysts, and data scientists to develop pipelines and ETL tasks in order to facilitate the extraction of insights from data.\n* Build and maintain efficient data integration, matching, and ingestion pipelines.\n* Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. \n* Spearhead, plan and carry out the implementation of solutions while self-managing.\n\n**What we’re looking for:**\n\n* Mastery in Python and SQL.\n* Ability to write efficient, resilient, and evolvable ETL pipelines. \n* Passion for clean code and testing with Pytest, FactoryBoy, or equivalent. \n* Experience building data pipelines with Spark is a big plus.\n* Astute ability to self-manage, prioritize, and deliver functional solutions.\n* Advanced knowledge of Unix, Git, and AWS tooling. \n* Experience with data modeling, entity-relationship modeling, normalization, and dimensional modeling.\n\n**About Doximity**\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nHow you’ll make an impact:\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nWhat we’re looking for:\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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Join the team at Teaching.com to create, develop, and deliver fun and engaging software for educators and students!\n\nWho We Are & What We Do\n\nWe’re working to change the future of online education by building exciting products that equip students and teachers with the tools to succeed in the classroom and beyond. Our team is hungry to learn and improve—both when it comes to our products and ourselves. We’re a small, hard-working group of self-starters who are passionate about what we do and constantly seeking new ways we can be better, together.\n\nAs a team member at Teaching.com, you’ll get to work on popular products like Typing.com, the world’s largest typing software, and Nitro Type, the #1 educational game in the world. Everyone at Teaching.com is empowered to move quickly, make decisions, and get things done so we can continue to make learning accessible to our growing community of more than 40 million students and teachers around the world.\n\nWho You Are & What You’ll Do\n\nWe’re looking for a team-oriented DevOps engineer with strong strategy, planning, and leadership skills who’s passionate about systems architecture and operations. As the bridge between development and operations, you will work across teams to lead the creation of DevOps solutions that will scale to keep up with our rapid growth.\n\nThis is a remote-based position.\n\nResponsibilities\n\n- Work alongside engineering teams to design and implement AWS solutions for infrastructure for deployment, monitoring, alerting, data storage, and security\n- Evaluate new tools and technologies based on current and future feature requirements, performance, cost effectiveness, and reliability\n- Review existing infrastructure with a fresh perspective to suggest improvements and optimizations\n- Contribute to best practices, create diagrams and documentation where appropriate, and participate in standups with the engineering team\n- Collaborate with the engineering team to define strategy and technical infrastructure roadmap, and drive the rapid implementation of appropriate technologies\n- Define and report on performance KPI\n\nSkills & Background\n\n- Extensive AWS cloud experience (EC2, ELB, ECS, VPC, IAM, RDS, CloudWatch, CloudFormation, etc.)\nAWS Certification preferred but not essential: SysOps and/or Solutions Architect ideal\n- Demonstrable expertise in managing AWS-based infrastructure\n- Experience with DevOps and automation: Continuous Integration, Continuous Deployment, Configuration Management, CloudFormation, Salt, Ansible, Jenkins, Chef, Puppet, CircleCI, etc.\n- Experience with Docker tooling and ecosystem\n- Experience with Git version control system\n- Experience using Packer to create identical machine images across multiple platforms\n- Operating systems: experience supporting mission-critical platforms, both physical and virtualized environments, using Vagrant as well as CentOS and AWS Linux distributions\n- Experience using Terraform to build, change, and version infrastructure\n- Experience managing serverless infrastructures using AWS CloudFront, API Gateway, Lambda, S3, etc.\n- Solid working knowledge of cloud computing architectures, networking topologies, and clustering techniques\n- Web servers: advanced experience with Nginx\n- Data platforms: MySQL/RDS and NoSQL databases\n- Strong scripting and automation skills (e.g., Bash, Python, Ruby)\n- Expertise with application performance monitoring tools such as AppDynamics, NewRelic, and open source alternatives\n- Organization/ticketing systems: JIRA, Redmine, or similar tool\n- Self-starter with excellent interpersonal and communication skills, written and spoken\n\nCompensation, Benefits & Perks\n\nCompetitive salary\nMedical, dental, and vision healthcare benefits\nUnlimited paid time off\nRemote office stipend and hardware assistance\nFlexible office hours\nAnnual conference allowance\nAnnual company retreat\n\nHow to Apply\n\nPlease apply here: http://jobs.teaching.com/apply/aLQx1wHcyc/Senior-DevOps-Engineer\n\nPosition Type\n\nFull-Time/Regular Remote\n\nNO RECRUITERS.\n\nSorry, we will not transfer or sponsor visas. We are an Equal Opportunity Employer.

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Doximity


Data Engineer, Product Integration

verified

Data Engineer, Product Integration


Doximity

verified

elasticsearch

git

python

engineer

elasticsearch

git

python

engineer

2yr
Why work at Doximity?\n\nDoximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.\n\nYou will join a small team of data infrastructure engineers (4) to build and maintain all aspects of our data pipelines, ETL processes, data warehousing, ingestion and overall data infrastructure. We have one of the richest healthcare datasets in the world, and we're not afraid to invest in all things data to enhance our ability to extract insight.\n\nJob Summary\n\n-Collaborate with product managers, data analysts, and data scientists to develop pipelines and ETL tasks in order to facilitate extraction of insights from data.\n-Build and maintain efficient data integration, matching, and ingestion pipelines.\n-Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.\n-Spearhead, plan and carry out the implementation of solutions while self-managing.\n\nRequired Experience & Skills\n\n-At least two years of professional experience developing data infrastructure solutions.\n-Fluency in Python and SQL.\n-Experience building data pipelines with Spark is a big plus.\n-Passion for clean code and testing with Pytest, FactoryBoy, or equivalent.\n-Astute ability to self-manage, prioritize, and deliver functional solutions..\n-Working knowledge of Unix, Git, and AWS tooling.\n\nOur Data Stack\n\n-Python, Kafka, Spark, MySQL, Redshift, Presto, Airflow, Neo4j, Elasticsearch\n\nFun Facts About the Team\n\n-We have one of the richest healthcare datasets in the world.\n-Business decisions at Doximity are driven by our data, analyses, and insights.\n-Hundreds of thousands of healthcare professionals will utilize the products you build.\n-Our R&D team makes up about half the company, and the product is led by the R&D team.\n-Our Data Science team is comprised of about 20 people.

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Visit Doximity's website

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👉 Please reference you found the job on Remote OK, this helps us get more companies to post here!

When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

Doximity


Data Engineer, Infrastructure

verified

Data Engineer, Infrastructure


Doximity

verified

elasticsearch

git

python

engineer

elasticsearch

git

python

engineer

2yr
Why work at Doximity?\n\nDoximity is the leading social network for healthcare professionals with over 70% of U.S. doctors as members. We have strong revenues, real market traction, and we're putting a dent in the inefficiencies of our $2.5 trillion U.S. healthcare system. After the iPhone, Doximity is the fastest adopted product by doctors of all time. Our founder, Jeff Tangney, is the founder & former President and COO of Epocrates (IPO in 2010), and Nate Gross is the founder of digital health accelerator RockHealth. Our investors include top venture capital firms who've invested in Box, Salesforce, Skype, SpaceX, Tesla Motors, Twitter, Tumblr, Mulesoft, and Yammer. Our beautiful offices are located in SoMa San Francisco.\n\nYou will join a small team of data infrastructure engineers (4) to build and maintain all aspects of our data pipelines, ETL processes, data warehousing, ingestion and overall data infrastructure. We have one of the richest healthcare datasets in the world, and we're not afraid to invest in all things data to enhance our ability to extract insight.\n\nJob Summary\n\n-Help establish robust solutions for consolidating data from a variety of data sources.\n-Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. \n-Collaborate extensively with the DevOps team to establish best practices around server provisioning, deployment, maintenance, and instrumentation.\n-Build and maintain efficient data integration, matching, and ingestion pipelines.\n-Build instrumentation, alerting and error-recovery system for the entire data infrastructure.\n-Spearhead, plan and carry out the implementation of solutions while self-managing.\n-Collaborate with product managers and data scientists to architect pipelines to support delivery of recommendations and insights from machine learning models.\n\nRequired Experience & Skills\n\n-Fluency in Python, SQL mastery.\n-Ability to write efficient, resilient, and evolvable ETL pipelines. \n-Experience with data modeling, entity-relationship modeling, normalization, and dimensional modeling.\n-Experience building data pipelines with Spark and Kafka.\n-Comprehensive experience with Unix, Git, and AWS tooling.\n-Astute ability to self-manage, prioritize, and deliver functional solutions.\n\nPreferred Experience & Skills\n\n-Experience with MySQL replication, binary logs, and log shipping.\n-Experience with additional technologies such as Hive, EMR, Presto or similar technologies.\n-Experience with MPP databases such as Redshift and working with both normalized and denormalized data models.\n-Knowledge of data design principles and experience using ETL frameworks such as Sqoop or equivalent. \n-Experience designing, implementing and scheduling data pipelines on workflow tools like Airflow, or equivalent.\n-Experience working with Docker, PyCharm, Neo4j, Elasticsearch, or equivalent. \n\nOur Data Stack\n\n-Python, Kafka, Spark, MySQL, Redshift, Presto, Airflow, Neo4j, Elasticsearch\n\nFun Facts About the Team\n\n-We have one of the richest healthcare datasets in the world.\n-Business decisions at Doximity are driven by our data, analyses, and insights.\n-Hundreds of thousands of healthcare professionals will utilize the products you build.\n-Our R&D team makes up about half the company, and the product is led by the R&D team. \n-Our Data Science team is comprised of about 20 people.

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SmileDirectClub is hiring a Senior Python Developer to help create the technology platform for an innovative B2C startup. We are looking for bright, ambitious, and highly capable people that are able to thrive in a fast paced dynamic environment while working with advanced technologies.\n\nWe were founded on a simple belief: everyone deserves a smile they love. We are the first digital brand for your smile. The company was built upon a realization that recent trends in 3D printing and telehealth could bring about disruptive change to the invisible aligner market. By leveraging proprietary cutting-edge technology, we’re helping customers avoid office visits and cutting their costs by up to 70 percent because people shouldn’t have to pay a small fortune for a better smile.\n\n\nYou Will:\n-Architecture, design, coding, testing, QA for our web site and technology platform\n-Operational support for web site and technology platform\n-Mentor junior staff\n-Current technology stack includes AWS, Python, Django, PostgreSQL, AngularJS, Bootstrap, jQuery, -Git\n\nWe're looking for someone who:\n-Ability to gather business requirements and develop design documents, implement the code and test\n-Ability to take a task from requirements to deployment and support\n-Ability to work on multiple tasks, prioritizing and organizing these tasks to maximize productivity\n-Self-starter with strong communication skills\n-Ability to work independently as well as in a team\n-Eagerness to tackle problems outside your core competencies and learn new technologies as required\n\nHow to stand out against the rest:\n-BS or MS in Computer Science, Information Systems or demonstrated industry hands-on experience\n-Minimum 6 years of hands on experience open source development\n-Experience in the design and development of sophisticated, modern web applications and services\n-Strong proficiency in Python and the Django web framework\n-Strong proficiency in HTML, CSS3, and JavaScript\n-Proficiency in Git\n-Development experience with Amazon Web Services (AWS)\n-Experience with agile development processes\n-Understanding of Development Operations and server architecture\n\nBenefits:\n-Competitive salary\n-Health, vision and dental insurance\n-401K plan\n-PTO\n-Discounted SmileDirectClub aligner treatment\n\nAbout SmileDirectClub:\nSmileDirectClub is backed by Camelot Venture Group, a private investment group that has been pioneering the direct-to-consumer industry since the early ‘90s, particularly in highly regulated industries. If you’ve heard of 1-800-CONTACTS, Quicken Loans, HearingPlanet, DiabetesCareClub or SongbirdHearing, then you’ve heard of Camelot. Their hands-on approach, extensive networking, and operational expertise ensures their portfolio companies reach their potential.\n\nHaving closed on a $46.7 million capital raise in July 2016 led by Align Technology (NASDAQ: ALGN), owner of the Invisalign® brand, SmileDirectClub is now valued at $275 million and is continuing to grow share in the U.S. orthodontics market.

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BinaryEdge AG


Software Engineer


Lisbon

Software Engineer


BinaryEdge AG

Lisbon

java

nosql

git

python

java

nosql

git

python

Lisbon3yr

Stats (beta): 👁 3,779 views,✍️ 0 applied (0%)
As a Software Engineer, you will be working on our distributed data collection platform. Your primary focus will be the development of server-side logic, ensuring high performance and responsiveness across the platform.\n\nThis also includes:\n\n* Be part of a remote team\n* Lead the development of features\n* Review work done by other engineers\n* Build reusable code and libraries for future use\n* Research, learn and improve the BinaryEdge Platform \n\n#Salary\n - \n \n\n#Location\n- Lisbon

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