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Job Details

Senior Data Engineer at Bright Health
Austin, TX, US
At Bright Health, we brought together the brightest minds from the health care industry and consumer technology and together we created Bright Health: a new, brighter approach to healthcare, built for individuals. Our plans are easy to manage, personalized and more affordable, giving people the quality care they deserve. Through our exclusive care partnerships with leading health systems in local communities we are reshaping how people and physicians achieve better health together.
 
Bright Health is tripling its footprint in 2019 to offer a variety of health insurance plans to more individuals. Bright Health operates health insurance offerings across Individual and Family Plan segments and the Medicare Advantage space in Alabama, Arizona, Colorado, Ohio, New York and Tennessee.
 
We’re Making Healthcare Right. Together. 
 
ABOUT THIS ROLE
Bright Health is looking for engineers with a passion for developing data-centric solutions that directly contribute to company ROI, while also pursuing our vision of collaborating with Care Partners to make healthcare simpler, personal and more affordable. The ideal candidate will enjoy working alongside seasoned professionals, within a stable, well-funded organization that continues to cultivate its startup attitude and culture. Bonus points if you have healthcare experience, in general, and exposure to health insurance, in particular.
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

REQUIRED RELEVANT EXPRIENCE

    • Team player who is not afraid to ask questions, take risks, share in owning team victories as well as team failures
    • Good communicator – both written and verbal – with high emotional intelligence
    • Ability to focus on MVP and shipping software while remaining cognizant of the long-term costs of technical debt
    • 2+ years (depending on level of position for which you are applying) 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

Ideal candidates come to the table with one or more additional competencies, such as:

    • Healthcare data background
    • Exposure to Enterprise Data Warehouse , Data Lake, Big Data, unstructured data, in-memory data stores
    • Familiarity with NoSQL database systems such as MongoDB, Cassandra, CosmosDB, neo4j etc.
    • Familiarity with Kimball-like star and snowflake data models and columnstore Indexing
    • Experience building metadata-driven data pipeline frameworks for quickly mapping, onboarding, and ingesting data from a wide variety of partner sources
    • Enterprise experience with data movement and management in the Cloud utilizing some combination of Azure and/or AWS features such as Data Factory, Blob Storage, Service Bus, Kafka, Redis, S3 Buckets, Azure Automation, Machine Learning, elastic search, Glue etc.
    • Data Science training or experience to better understand and collaborate with one of our key data consumers (notably, this is still an engineering role and not a data science role)
    • CRM experience, such as MS Dynamics or SalesForce
We've won some fun awards like: Great Places to WorkModern HealthcareForbes, etc. But more than anything, we're a group of people who are really dedicated to our mission in healthcare. Come join our growing team!
 
As an Equal Opportunity Employer, we welcome and employ a diverse employee group committed to meeting the needs of Bright Health, our consumers, and the communities we serve. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
 
BRIGHT ON!