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Senior Data Engineer
Blue Orange DigitalSenior Data Engineer building scalable Snowflake/dbt pipelines for Blue Orange Digital, a data and AI consultancy. Supporting SaaS modernization, analytics, and AI/ML capabilities.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable ELT pipelines using dbt and Snowflake, with a strong foundation in dimensional modeling and data warehousing. Proven ability to mentor engineers and enhance platform capabilities through automation and process improvement.
Highest-signal resume keywords
Snowflake Performance TuningDbt ELT Pipeline DevelopmentApache Airflow WorkflowsPython ProgrammingDimensional Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringELT PipelinesDimensional ModelingData WarehousingAnalytics EngineeringPerformance TuningAutomationProcess ImprovementCode ReviewTechnical Mentorship
Soft Skills
Proactive Risk ManagementTechnical Guidance
Tools & Technologies
SnowflakeDbtApache AirflowSigmaTableauPower BI
Certifications & Qualifications
Snowflake AI Certification
Industry Keywords
Data EnvironmentPost-AcquisitionCarve-Out
Tech Stack
Tools & technologiesAirflowApachePythonTableau
About the role
Key responsibilities & impact- 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
- Tune Snowflake queries and warehouse performance
- Build and maintain orchestration workflows in Apache Airflow
- Apply dimensional modeling, data warehousing, and analytics engineering best practices
- Prepare and model data for modern BI tools, primarily Sigma, with some Tableau exposure for embedded, customer-facing reporting
- Identify opportunities for automation, process improvement, and platform modernization
- Mentor other engineers through code review and technical guidance
- Proactively flag risks and performance issues
- Help shape the platform's forward-looking AI/ML data capabilities
Requirements
What you’ll need- 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
- 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
- Background checks may be required for certain positions/projects
- Resume and all application materials must be submitted in English
- Preferred: Snowflake Cortex experience and/or Snowflake AI certification
- Preferred: Sigma experience
- Preferred: Tableau experience, particularly for embedded/customer-facing reporting
- Preferred: Prior experience in a post-acquisition or carve-out data environment
Benefits
Comp & perks- 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