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Senior Data Engineering Lead

Austin, TexasData EngineeringFull-Time

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About Nomi Healthcare

Nomi Health was founded in 2019 as a direct healthcare company with a simple yet bold mission: rebuild the healthcare system so it is accessible and affordable for everyone. We are rebuilding the healthcare system by cutting costs, confusion, and complexity through direct contracts and payment with providers, deep data dives, and convenient patient care.

We are seeking a talented and passionate Sr. Data Engineering lead to join our team in Austin, TX. You will guide and support a team of data engineers, distributed across various BU's. You will work cross functionally with stakeholders to deliver solutions, acting as the accountable owner and SME for various data engineering projects, and ensure "delivery excellence" (speed, efficiency, quality, reliability, and observability). You will contribute to platform development and promote best practices. You will help defining and tracking improvements to design patters and data architecture and additional duties as required.

How you will make an impact

  • Lead a cross-functional team of Data Engineers distributed across different business units/functions
  • Leverage our operations squad to define, lead, and drive projects to improve the business
  • Work directly with product and stakeholders to gather requirements and come up with data solutions you will drive
  • Foster a collaborative and supportive environment for the Data Engineering team
  • Serve as an SME and architectural authority within data engineering initiatives while ensuring the successful and timely delivery of high-quality, reliable data pipelines
  • Build and design solutions that align with the overall data platform and strategy, ensuring that the team adheres to and contributes to the core platform build
  • Demonstrate leadership by driving best practices, advocating for technical excellence, and promoting adherence to data engineering standards
  • Influence development and design with technical leadership/mentoring
  • Build robust pipelines with speed, efficiency and quality at the forefront of delivery
  • Define and measure continuous improvements to data patterns and designs
  • Perform additional duties as needed

What we are looking for

  • Proficiency in Python and SQL is a must
  • Possess 2 - 3+ years of hands-on experience as a Data Engineer or Lead Engineer, specializing in the development of high-volume, high-quality data pipelines
  • Knowledge of Agile methodologies
  • Demonstrated skills in data modeling are highly desirable, spanning both application-oriented and analytical data domains
  • Familiarity and experience with cloud native technologies a plus
  • Familiarity with HIPAA and healthcare data (EDI) is a bonus
  • Tech stack; Data Warehousing: Snowflake, Cloud Services: AWS, Version Control: GitHub, NoSQL Database: DocumentDB, BI: DOMO
Apply now