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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Lead complex data initiatives by transforming ambiguous business needs into scalable architectures.
- Partner with Product Management, Product Engineering, and Analytics to understand requirements and deliver analytics platform capabilities.
- Drive key semantic modeling design decisions that balance current reporting needs with future scalability.
Requirements
What you’ll need- Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline
- 7+ years of professional experience in Data Engineering
- Proven track record of delivering data products in partnership with Product teams
- Deep expertise with modern data stack technologies: DBT, Snowflake, SQL, Python, and BI tools like Looker/Omni.
- Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design)
- Comprehensive knowledge of data governance and analytics/security best practices
- Excellent problem-solving, communication, and cross-functional collaboration skills, with experience working on global teams.
Benefits
Comp & perks- 401(k) match plus dental, medical, vision, and life insurance.
- Flexible vacation day policy.
- Fully remote with a work from home stipend every month.
- Family planning resources and specialized support programs.
- Equity options.
- Boulevard Bucks Learning and Development program.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringDBTSnowflakeSQLPythonBI toolsdata modelingdata governanceanalytics best practicessecurity best practices
Soft Skills
problem-solvingcommunicationcross-functional collaboration
Certifications
Bachelor’s degreeMaster’s degree
