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3 Remote Engineer Data Jobs at companies like Good Eggs, Synergy Sports Technology and Doximity last posted 1 month ago

3 Remote Engineer Data Jobs at companies like Good Eggs, Synergy Sports Technology and Doximity last posted 1 month ago

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Good Eggs

US-only verified

Senior Data Platform Engineer


Good Eggs

US-only verified

data

snowflake

dbt

devops

data

snowflake

dbt

devops

US-only1mo

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At Good Eggs, we believe feeding your family well shouldn’t come with a trade off — be it your time, your standards, or your wallet. We’re pioneering a new way to fill your fridge, by sourcing the best food from producers we know and trust, and bringing it straight to you — all at a price the same or less than your grocery store.{linebreak}{linebreak}We run a healthy agile engineering process with:{linebreak}{linebreak}* pair programming{linebreak}* test-driven development{linebreak}* continuous deployment{linebreak}{linebreak}{linebreak}# Responsibilities{linebreak} We're looking for a Data Platform Engineer who is interested in a multidisciplinary engineering environment and is excited to support the culture of data alongside a passionate, mission-driven team.{linebreak}{linebreak}As a Data Platform Engineer, you'll work on ingest, modeling, warehousing, BI tools, and have significant influence over the tools & processes we deliver to our customers (Analysts, Engineers, Business Leaders). We have a modern data platform and a strong team of DevOps Engineers and Full-Stack Data Analysts to collaborate with. Some of the tech involved:{linebreak}{linebreak}* custom code written in multiple languages (primarily Node.js/Typescript, but also Python and Go){linebreak}* Fivetran & Segment{linebreak}* Snowflake{linebreak}* dbt{linebreak}* Mode Analytics{linebreak}* a modern, AWS-based, containerized application platform {linebreak}{linebreak}# Requirements{linebreak}**Ideal candidates will have:**{linebreak}* A desire to use their talents to make the world a better place{linebreak}* 2+ years of agile software development experience including automated testing and pair programming{linebreak}* 3+ years of full time, Data experience (ETL, warehousing, modeling, supporting Analysts){linebreak}* interest in learning and adopting new tools and techniques{linebreak}* Bachelor’s degree in computer science, computer engineering or equivalent experience{linebreak}{linebreak}**Experience in some of the following areas:**{linebreak}* Node.js/Typescript, Go, Python, SQL{linebreak}* DevOps, cloud infrastructure, developer tools{linebreak}* Container-based deployments, microservice architecture{linebreak}{linebreak}**Bonus points for:**{linebreak}* Previous work experience involving e-commerce, physical operations, finance, or BizOps{linebreak}* Being data-driven - ability to get insights from data{linebreak}* Experience with dimensional modeling and/or BEAM* {linebreak}{linebreak}#Location{linebreak}- US-only

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This year


Stats (beta): 👁 600 views,✍️ 0 applied (0%)
**The Company**{linebreak}Synergy Sports Technology, named by Fast Company as one of the world's top 10 most innovative companies in sports, seeks talented **Senior Backend Data Platform Engineers** to join our team on a long term contract basis. {linebreak}This position offers a tremendous opportunity to work with the only company that delivers on-demand professional-level basketball, baseball, and hockey analytics linked to supporting video to nearly 1500 college, professional, and international teams. Our systems are highly complex and contains petabytes of data and video requiring extremely talented engineers to maintain scale and efficiency of its products.{linebreak}As a member of the Synergy team, its engineering team will contribute to the ongoing development of Synergy’s revolutionary online sports data and video delivery solutions. Building applications such as:{linebreak}* Client Analytic Tools{linebreak}* Video Editing and Capture Tools{linebreak}* Data Logging Tools{linebreak}* Operational Game, Data and Video Pipeline Tools{linebreak}* Backend Data and Video Platforms{linebreak}{linebreak}Synergy’s work environment is geographically distributed, with employees working from home offices. The successful candidate must be comfortable working in a virtual office using online collaboration tools for all communication and interaction in conversational English. Synergy development staff work in a deadline-oriented, demanding, non-standard environment in which personal initiative and a strong work ethic are rewarded. Good communication skills, self-motivation, and the ability to work effectively with minimal supervision are crucial. Nonstandard working hours may be required, as Synergy operates on a 24x7 system for clients, with associated deadlines and requirements. Pay rate is dependent on experience.{linebreak}Information for all Positions:{linebreak}* All Positions will last for roughly a year with some engineers lasting even longer if they are talented, we will keep them for future projects (contracts are renewing every year){linebreak}* Engineers should be available for phone calls M-F from 7am to 10am Pacific Time zone. There will usually be 1 or 2 phone calls each week that are 30 to 90 minutes each. All other work hours availability is up to the engineer to work when it is a best fit and balance for them to communicate with their team and their personal commitments outside of work.{linebreak}* Working an average of 40 hours per week is expected except in rare or temporary circumstances. Each week can be flexible and up to the engineer as to when and how much they work per day. It is ok to work heavier and lighter weeks if desired based upon the engineer’s preference of when and how to work. But a preference is to average 40 hours per week.{linebreak}* No travel is required{linebreak}{linebreak}{linebreak}{linebreak}{linebreak}# Responsibilities{linebreak} **Team Objectives**{linebreak}{linebreak}A candidate joining the Data Platform team can expect to work on the following types of projects:{linebreak}* Creating internal and external APIs to support both data and video{linebreak}* Building complex data models supporting the business rules of sports{linebreak}* Developing algorithms that ingesting and transforming multiple streams of data and collapsing the data into a single event structure{linebreak}* Refactoring code to a .NET Core environment{linebreak}* Scaling out current systems to support new sports{linebreak}* Building build and test automation systems{linebreak}* Building complex reporting data structures for analytical systems {linebreak}{linebreak}# Requirements{linebreak}**Required Skill Sets**{linebreak}* NoSQL database (MongoDB Preferred){linebreak}* C# (Latest version with a preference to .NET Core){linebreak}

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# How do you apply? Please send your updated CV and Skype information by email to **Mihaela Radu at [email protected]**. {linebreak}Only selected candidates will be contacted for an interview. {linebreak}
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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.{linebreak}{linebreak}We 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. Our data team is deliberate and self-reflective about the kind of team and culture that we are building, seeking data engineers and scientists that are not only strong in their own aptitudes but care deeply about supporting each other's growth. We have one of the richest healthcare datasets in the world, and our team brings a diverse set of technical and cultural backgrounds.{linebreak}{linebreak}You will join a small team of Software Engineers focusing on Data Engineering Infrastructure to build and maintain all aspects of our data pipelines, ETL processes, data warehousing, ingestion and overall data stack.{linebreak}{linebreak}**How you’ll make an impact:**{linebreak}{linebreak}* Help establish robust solutions for consolidating data from a variety of data sources.{linebreak}* Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. {linebreak}* Collaborate extensively with the DevOps team to establish best practices around server provisioning, deployment, maintenance, and instrumentation.{linebreak}* Build and maintain efficient data integration, matching, and ingestion pipelines.{linebreak}* Build instrumentation, alerting and error-recovery system for the entire data infrastructure.{linebreak}* Spearhead, plan and carry out the implementation of solutions while self-managing.{linebreak}* Collaborate with product managers and data scientists to architect pipelines to support delivery of recommendations and insights from machine learning models.{linebreak}{linebreak}**What we’re looking for:**{linebreak}{linebreak}* Fluency in Python, SQL mastery.{linebreak}* Ability to write efficient, resilient, and evolvable ETL pipelines. {linebreak}* Experience with data modeling, entity-relationship modeling, normalization, and dimensional modeling.{linebreak}* Experience building data pipelines with Spark and Kafka.{linebreak}* Comprehensive experience with Unix, Git, and AWS tooling.{linebreak}* Astute ability to self-manage, prioritize, and deliver functional solutions.{linebreak}{linebreak}**Nice to have:**{linebreak}{linebreak}* Experience with MySQL replication, binary logs, and log shipping.{linebreak}* Experience with additional technologies such as Hive, EMR, Presto or similar technologies.{linebreak}* Experience with MPP databases such as Redshift and working with both normalized and denormalized data models.{linebreak}* Knowledge of data design principles and experience using ETL frameworks such as Sqoop or equivalent. {linebreak}* Experience designing, implementing and scheduling data pipelines on workflow tools like Airflow, or equivalent.{linebreak}* Experience working with Docker, PyCharm, Neo4j, Elasticsearch, or equivalent. {linebreak}{linebreak}**About Doximity**{linebreak}{linebreak}We’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 opportunities for you to make an impact—join us!{linebreak}{linebreak}*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.* {linebreak}{linebreak}# Requirements{linebreak}Use apply button

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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! 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.