Data Engineer

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Company: Collective Health

Location: Plano, TX 75025

Description:

We all depend on healthcare throughout our lifetimes, for ourselves, and our families and friends, but it is notoriously difficult to navigate and understand. As an industry that comprises 20% of the US economy we think healthcare should work better for all of us. At Collective Health we believe it's time for a new day in healthcare where as members we are informed and empowered to make the right care choices when the decisions are urgent and critical.

The Data Platform team builds and delivers data assets that serve our customers in order to have visibility into their plan costs and clinical outcomes. The team collaborates closely with other departments within the organization such as Data Science and the Analytics team.

The Data Engineer role will work with the team to decide on the best path for execution on analysis in collaboration with other team members. It requires deep problem solving skills in determining root causes and resolving issues across data quality, skills in multi-tasking across multiple priorities, and ability to work cross-collaboratively with customers and stakeholders.
What you'll do:
  • Leverage best in industry practices to build the next generation data ecosystem to collect, move, store and analyze data
  • Data Pipelines - Create new pipelines and improve/maintain existing pipelines using Spark (Pyspark, Spark SQL)
  • Data Modeling - Partner with analytic consumers to design logical and physical schemas, improve existing data models and build new ones
  • Cross-functional Collaboration - Interface with Product, Engineering, Data Science, Analytics/BI, and Operations to understand their data needs, providing both consultative and data engineering solutions for consumers
  • Build data expertise and own data quality across various business domains including healthcare claims and member experience
To be successful in this role, you'll need:
  • BS degree in Computer Science or related technical field, or equivalent practical experience
  • 2+ years proven work experience as a data engineer, working with at least one programming language (e.g. Scala, Python/PySpark) plus SQL expertise
  • 2+ years experience with schema design, dimensional data modeling, and large-scale data warehousing architecture
  • Expertise in building data pipelines through efficient ETL design, implementation and maintenance
  • Background working with distributed data systems such as Spark, Databricks. Experience with schedulers/workflow management tools is a plus
  • Excellent communication skills to collaborate with stakeholders in Engineering, Product, Data Science, Analytics/BI, and Operations
Pay Transparency Statement

This is a hybrid position based out of one of our offices: San Francisco, CA, Plano, TX, or Lehi, UT. Hybrid employees are expected to be in the office three days per week (Plano, TX) or two days per week (all other locations). #LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

San Francisco, CA Pay Range

$116,500-$152,775 USD

Lehi, UT Pay Range

$93,500-$122,850 USD

Plano, TX Pay Range

$102,500-$134,400 USD

About Collective Health

Collective Health is the leading health benefits platform that brings together medical, dental, vision, pharmacy, and program partners into an integrated solution that better enables employees and their families to understand, navigate, and pay for healthcare. By reducing the administrative lift of delivering health benefits, providing an intuitive member experience, and helping control costs and improve outcomes, the company guides employees toward healthier lives and companies toward healthier bottom lines.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact [redacted].
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For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/.

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