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Senior Staff Data Engineer

5 hours, 39 minutes ago
United States
Full-time
Lead
Data Engineer
Software Development
Apache Airflow Apache Spark C# C++ dbt Go Java LLM Looker Python Scala Snowflake SQL Superset
Apply Now
SmithRx

SmithRx

SmithRx revolutionizes pharmacy benefits with transparent technology, connecting stakeholders for efficient drug delivery and cost savings.

Pharmaceuticals
1K-5K
Founded 2016
$38M raised
View All Jobs 34

Description

  • Define the long-term data engineering strategy aligned with company priorities and engineering best practices.
  • Design coherent data ecosystems across pipelines and API boundaries while simplifying infrastructure and reducing maintenance costs.
  • Make high-impact technical decisions on architecture, tooling, and build-versus-buy choices, and review designs for risk.
  • Implement solutions that improve developer efficiency and establish engineering-wide quality standards.
  • Roll out major data features and systems with appropriate monitoring, failure-domain analysis, and success metrics.
  • Use business strategy context to identify opportunities, refocus projects when needed, and ensure work drives business impact.
  • Enforce data governance policies, including PII/PHI protection, security, compliance, and data quality standards.
  • Influence cross-functional roadmaps and lead decision-making in critical situations.
  • Mentor and coach other engineers, provide constructive feedback, and help maximize team impact.
  • Communicate technical strategies and business cases effectively to executive stakeholders.

Requirements

  • 8+ years of industrial experience in data engineering with an advanced degree, or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field.
  • Startup and healthcare experience is highly desirable.
  • Strong mastery of data modeling, database design principles, and data warehouse technologies such as Snowflake through production-grade implementations.
  • Strong skills in PySpark, SQL, and Python are required.
  • Experience with modern object-oriented or compiled languages such as C#, C++, Go, Java, or Scala is a plus.
  • Hands-on experience with ETL tools and frameworks such as Apache Spark, Apache Airflow, dbt, Looker, and Superset.
  • Experience managing the full data lifecycle, including development, implementation, and production release of complex distributed data processing solutions.
  • A proven track record of making decisions that optimize for the broader engineering organization in ambiguous environments.

Benefits

  • Highly competitive medical, pharmacy, dental, vision, life, and AD&D insurance.
  • Flexible spending benefits.
  • 401(k) retirement savings program.
  • Short-term and long-term disability coverage.
  • Discretionary paid time off and 12 paid company holidays.
  • Wellness benefits and an employee assistance program.
  • Commuter benefits and a well-stocked office kitchen.
  • Paid parental leave and professional development/training opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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