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Senior Staff Data Engineer

1 month, 1 week 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 41

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 and simplify infrastructure to reduce maintenance costs.
  • Make high-impact technical decisions, including build-versus-buy and framework selection, and review designs to identify technical risks early.
  • Implement solutions that improve developer efficiency and establish engineering-wide quality standards and best practices.
  • Roll out major features and systems reliably with monitoring, failure domain analysis, and success metrics.
  • Identify group-wide opportunities by aligning technical work with business strategy and redirect team efforts when needed.
  • Enforce data governance policies, including PII/PHI protection, security, and compliance requirements.
  • Improve data quality and reliability for data shared internally and externally.
  • Influence the roadmaps of other teams and lead decision-making in critical situations.
  • Mentor and coach engineers, provide constructive feedback, and help develop team members' impact.
  • Present technical strategies and business cases to executive stakeholders.
  • Build cross-functional relationships and drive adoption of new technologies or processes across the organization.

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.
  • Start-up and healthcare experience is highly desirable.
  • Demonstrated mastery of data modeling concepts, 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, or Superset.
  • In-depth experience managing the full data lifecycle, including development, implementation, and production release of complex data processing solutions using distributed systems.
  • Proven ability to make decisions that optimize for the broader engineering organization in ambiguous environments.

Benefits

  • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, Life Insurance, and AD&D Insurance.
  • Flexible Spending Benefits.
  • 401(k) Retirement Savings Program.
  • Short-term and long-term disability coverage.
  • Discretionary Paid Time Off plus 12 paid company holidays.
  • Wellness benefits and an Employee Assistance Program (EAP).
  • Commuter benefits and paid parental leave.
  • Professional development and training opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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