About the role

  • Senior Data Engineer designing and implementing the Enterprise Data Platform at Stellix. Focusing on analytics and insights with a growth path to Principal Data Engineer or Data Architect.

Responsibilities

  • Responsible for scoping, architecting, designing, and developing robust data engineering solutions including data pipelines, data integration, and infrastructure.
  • Support the data architect in the creation of conceptual and logical data models.
  • Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use cases.
  • Serve as the technical owner of the data platform making architectural decisions, maintaining high code quality, and delivering scalable, reliable solutions.
  • Integrate data from diverse sources, including databases, APIs, flat files and cloud platforms.
  • Design, and build performant, scalable data pipelines using tools like dbt, Fivetran, and Airflow.
  • Troubleshoot issues with production data pipelines and implement monitoring and alerting as needed.
  • Collaborate across business, governance, QA, and analytics teams to ensure data quality, consistency, and successful solution delivery.
  • Define and implement enterprise scale data engineering best practices, standards and guidelines across the development life cycle.

Requirements

  • Bachelors degree in computer science, data science, software engineering, information systems, or related quantitative field; masters degree preferred.
  • 10+ years of Data Engineering experience, with at least 3 years in modern cloud/data stack.
  • Demonstrated experience designing and implementing enterprise scale data platforms.
  • Proficient in data management disciplines, including data integration, modeling, building data warehouses/lakes, and data quality, or other areas relevant to data engineering responsibilities and tasks.
  • Strong communication skills, to be able to clearly articulate technical concepts to non-technical stakeholders.
  • Strong problem-solving skills and a proactive, ownership-driven mindset.

Benefits

  • Highly competitive Medical, Dental, and Vision Insurance
  • Flexible Spending or Health Savings Accounts
  • Unlimited Vacation Time
  • 10 Paid Holidays
  • 12 Paid Weeks Maternity Leave
  • Pet Insurance
  • Retirement Savings: 401(k) and Employee Stock Ownership Plan
  • Employee Referral Bonus
  • Professional Development Reimbursement
  • Company Paid STD, LTD, and Life Insurance

Job title

Lead Data Engineer

Job type

Experience level

Senior

Salary

$130,000 - $160,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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