[Hiring] Senior Data Engineer @Blue Orange Digital

Role Description

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.

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.

Qualifications

• 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.

Preferred Qualifications

• 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.

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.