Senior Staff Data Engineer

Responsibilities

• Define the long-term data engineering strategy in alignment with company priorities and engineering best practices.
• Design coherent data ecosystems across pipelines and API boundaries, simplifying infrastructure and reducing maintenance costs.
• Make high-impact technical decisions, including build-versus-buy and framework selections, and review designs to identify and resolve technical risks.
• Improve developer efficiency and establish engineering-wide quality and best practices.
• Deliver major features and systems reliably with monitoring, failure-domain characterization, and success metrics.
• Align team efforts with business goals and identify organization-wide opportunities.
• Enforce data governance, including PII/PHI protection, security, and compliance, and improve data quality and reliability.
• Influence cross-functional roadmaps and lead critical technical decisions.
• Mentor and coach engineers and communicate technical strategies and business cases to executives.
• Drive adoption of new technologies and processes across the organization.

Requirements

• 8+ years of industrial data engineering experience with an advanced degree, or 12+ years with an undergraduate degree.
• Advanced degree or undergraduate degree in Computer Science, Information Technology, or a related field, depending on experience path.
• Mastery of data modeling, database design, and data warehouse technologies such as Snowflake.
• Strong PySpark, SQL, and Python skills.
• Experience managing the full data lifecycle and developing, implementing, and releasing complex data processing solutions using distributed systems.
• Experience with production-grade data engineering implementations and organization-wide technical decision-making.

Nice to Have

• Startup or healthcare experience.
• Experience with C#, C++, Go, Java, or Scala.
• Experience with Apache Spark, Apache Airflow, dbt, Looker, or Superset.

Compensation & Benefits

• Base salary range: $178,500–$252,000 USD, varying by work location, job level, knowledge, skills, and experience.
• Eligibility for bonuses, commissions, or equity may apply.
• Benefits include medical, pharmacy, dental, vision, life and AD&D insurance, flexible spending benefits, 401(k), short- and long-term disability, discretionary paid time off, paid holidays, wellness and commuter benefits, paid parental leave, employee assistance, and professional development opportunities.