Senior Data Engineer (Analytics)

We are looking for a Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS. 

This position can be fully remote or on-site (NYC).

Main Responsibilities:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

Our Tools:

Postgres, Snowflake, Python, AWS, NATS, Terraform, Argo, Stitch, DBT, ElasticSearch, Looker

Ideal Qualifications:

• 5+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
• Expertise in SQL, familiarity with Python
• Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Familiarity with distributed event-driven architectures. NATS experience is a plus.
• Familiarity with healthcare or insurance
• Able to learn quickly and mentor others

Why You Should Join Our Team:

• You are mission-driven, have a high sense of ownership, and want to work at a company that can change the healthcare system
• You want to be on a small, fast-paced team that nimbly moves to meet new challenges
• You are not afraid of challenges and love to learn
• You design and optimize for the long term while moving fast and iteratively delivering for the short term
• You love ideating on new features and working with data to find new insights
• You’re excited about researching and working with the latest tools and technologies

The target salary range for this position is $155,000 to $190,000 annually. Individual compensation for this role will depend on a variety of factors including qualifications, skills and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans.