Sr. Data Engineer at Bright Health (Austin, TX)

As a member of our engineering team, you will work on the design, implementation and delivery of data platform frameworks, pipelines, microservices, and other features that build on our high-value data assets. Your customers will include data analytics, marketing, and leadership teams as well as our Care Partners (hospitals and physicians) and external data partners, in concert with our Enterprise Data Warehouse delivery teams.

RESPONSIBILITIES

• Evaluate and build proofs of concept for Cloud PaaS and IaaS offerings for data liquidity, data management and storage, data pipelines built on both traditional ETL as well as streaming platforms, master data management, data stewardship, record-linkage, NLP services, and more.
• Write traditional code and server-less functions using the right language for the task, which may be SQL, Python, C#, Java, PowerShell, SSIS/BIML, and others.
• Participate in build-buy-open source decisions for parsing and managing industry standard formats such as FHIR/NDJSON, pipe-and-hat HL7, and x12 EDI
• Evaluate, select, and apply Cloud and OO design and resiliency patterns
• Build APIs and data microservices to share our data with internal and external partners, and write interfaces to public data sets to enrich our analytics data stores
• Provide subject matter expertise on performance tuning and query optimization to full-stack peers, data analysts, and EDW developers
• Participate in building and owning a DevOps culture
• Continuously document your code, framework standards, and team processes

EDUCATION, TRAINING, AND PROFESSIONAL EXPERIENCE

• 5+ years of experience in an enterprise or commercial software development environment
• Extensive experience developing data-intensive solutions against an RDBMS, such as SQL Server, Postgres or Oracle.
• Highly skilled writing SQL queries, DML and DDL, CDC/change tracking patterns, indexes and performance tuning.
• Enterprise development experience coding in at least one, but preferably more than one, procedural/OO language, e.g., C#, Java, JavaScript, Python, C++, PowerShell
• Proficiency in using OOTB components, as well as implementing custom components or frameworks, on at least one traditional ETL platform, preferably SSIS, Informatica, or Talend
• Healthcare data background a must
• MUST HAVE THE RIGHT TO WORK IN THE US WITHOUT VISA SPONSORSHIP

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