Senior Data Engineer
About The Position
We're seeking a Senior Data Engineer to join a staff-augmentation team supporting a fast-moving SaaS data platform working through a significant post-acquisition data backlog. You'll combine strong technical expertise with ownership and sound engineering judgment — designing and building scalable, reliable pipelines on a modern Snowflake/dbt/Airflow stack while understanding the broader business objectives behind them. This is a high-visibility seat: you'll be evaluated directly against incumbent contractor performance in your first 60 days, with strong, self-directed delivery translating into a long-term dedicated placement.
Requirements
- 7+ years of professional data engineering experience, with a demonstrated track record of owning complex projects under minimal direction
- Hands-on proficiency with Snowflake, including performance tuning and modern Snowflake capabilities — the core stack on this engagement
- Strong dbt experience building and maintaining production ELT pipelines
- Experience with Apache Airflow or a comparable orchestration platform
- Strong Python skills
- Solid grounding in dimensional modeling, data warehousing, and analytics engineering best practices
- Comfort working in modern reporting/visualization tools such as Sigma, Tableau, or Power BI
- Track record of designing scalable, maintainable, well-documented pipelines and models
- Demonstrated mentorship experience — comfortable reviewing code and raising the technical bar for less senior engineers
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Nice To Haves
- Snowflake Cortex experience and/or Snowflake AI certification — currently the single highest-leverage differentiator for this role; flag prominently on any candidate who has it
- Sigma experience (not required — low barrier to entry for a strong engineer, but a plus)
- Tableau experience, particularly for embedded/customer-facing reporting
- Prior experience in a post-acquisition or carve-out data environment
Responsibilities
- Own complex technical projects end-to-end with minimal direction, from design through production
- Design, build, and maintain scalable ELT pipelines in dbt against a Snowflake warehouse, including query and warehouse performance tuning
- Build and maintain orchestration workflows in Apache Airflow
- Apply dimensional modeling, data warehousing, and analytics engineering best practices to support reliable downstream reporting
- Prepare and model data for consumption in modern BI tools, primarily Sigma, with some exposure to Tableau for embedded, customer-facing reporting
- Identify opportunities for automation, process improvement, and platform modernization
- Mentor other engineers through code review and technical guidance, raising the technical bar of the broader team
- Proactively flag risks and performance issues, and help shape the platform's forward-looking AI/ML data capabilities
Benefits
- Fully remote
- Flexible Schedule
- Unlimited Paid Time Off (PTO)
- Paid parental/bereavement leave
- Worldwide recognized clients to build skills for an excellent resume
- Top-notch team to learn and grow with
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What This Job Offers
Job Type
Full-time
Career Level
Senior
