Senior Data Engineer [Remote]

Austin, TX /
Engineering – Engineering /
Everly Health is the leading digital health company at the forefront of the $300 billion dollar virtual diagnostics-driven care industry. Our mission is to improve the lives of millions with a fully integrated digital care platform for consumers and businesses. We continue to innovate in the space by delivering more care to more people on a seamless diagnostics-driven platform.

Everlywell, the consumer-initiated at-home laboratory testing brand within Everly Health, has helped over 1 million people manage their health and wellness with easy at-home tests, physician-reviewed results and actionable intelligence delivered digitally in days. You know your body best, and we believe information about the way your body works should be fully visible and available to you however and whenever you need it.

As a Data Engineer you will be directly reporting to the Director of Data Architecture. If you have a passion for data and cloud technologies, and a drive to design an effective data pipeline, then look no further. You will ensure that our data infrastructure and architecture supports the evolving requirements of the business. You will work closely with business stakeholders, Data Analytics, and application engineers to develop a strategy for our long term Data Platform architecture. You will identify gaps in data processes, and drive improvements, while mentoring and coaching other team members.

What You'll Do:

    • Be an essential part of designing and building our new data architecture and platform
    • Build and maintain ETL pipelines that are reliable and scalable
    • Explore and evaluate new technologies and make recommendations where necessary
    • Develop, test and maintain existing architecture
    • Identify gaps and monitor in current data processes and drive improvements
    • Recommend ways to improve data reliability, efficiency and quality of the data platform and optimize for performance, scalability and cost
    • Work with ELT tools to sync data to/from 3rd party services
    • Collaborate with the Data Analytics team to build the correct datasets for further consumption by various visualization tools
    • Design data models that support business needs

Who You Are:

    • Programming experience and a demonstrated interest in statistical analysis and business intelligence
    • 5+ years experience with SQL, Data Warehouse development and ETL
    • Hands-on experience with at least one cloud-based data warehouse (e.g. Snowflake, Redshift, etc.)
    • Expert-level scripting skills using Python, Shell or similar
    • Expertise in PySpark and Pandas
    • Experience with standard warehousing concepts like Data Marts and Dimensional Modeling
    • Excellent communication skills, both verbal and written
    • Experience with at least one data modeling tool
    • Strong problem-solving abilities and critical thinking

Nice To Have:

    • Hands-on experience managing and performance-tuning PostgreSQL
    • Experience with ETL tools like Stitch, Fivetran, Pentaho, etc.
    • Experience with data warehouse schema design and architecture
    • Experience with Big Data solutions such as Snowflake or Redshift
    • Experience managing RDS, a definite plus
    • Experience with Data Science Notebooks
    • Experience with NoSQL databases
You'll Love Working Here:

· Venture backed by top-tier firms
· The opportunity ahead knows no bounds
· Open vacation policy
· Employee discounts
· Paid parental leave
· Health benefits
· 401(k)


Everly Health is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, sexual orientation or any other characteristic protected by law.

HIPAA Disclaimer: This role will be in an environment that has access to protected health information (PHI) and all security standards to protect PHI must be followed.