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Senior Data Engineer – Analytics Platform
TrumidSenior Data Engineer building scalable data models in BigQuery for analytics and reporting at Trumid. Collaborating with various stakeholders and ensuring data governance practices are followed.
Posted 7/1/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $200,000 - $250,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data models in BigQuery using dbt, with a strong focus on data governance, optimization, and collaboration with stakeholders. Proven ability to mentor teams on analytics engineering best practices and contribute to data platform development.
Highest-signal resume keywords
BigQuery Data ModelingSQL ExpertiseDbt DevelopmentData Governance PracticesAnalytics Engineering Mentorship
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 ModelingSQLDbtData Warehouse DesignData Quality StandardsQuery OptimizationData Transformation LogicAnalytics WorkloadsCurated DatasetsColumnar Database Patterns
Soft Skills
Strong CommunicationCollaboration with Stakeholders
Tools & Technologies
FivetranModern Data Stack Tools
Industry Keywords
Data GovernanceAnalytics EngineeringData Platform InfrastructureData LineageOperational Insights
Tech Stack
Tools & technologiesBigQueryCloudSQL
About the role
Key responsibilities & impact- Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights
- Develop systems for delivering data to internal stakeholders and external clients
- Maintain data governance practices including documentation, lineage, testing, and data quality standards
- Optimize query performance and cost efficiency for analytics workloads in BigQuery
- Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models
- Mentor engineers and analysts on analytics engineering and data modeling best practices
- Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure
Requirements
What you’ll need- 5+ years of experience building analytics or data platform infrastructure
- Strong expertise in SQL and dbt, including complex transformation logic and data modeling
- Experience designing data warehouse models in BigQuery or similar cloud data warehouses
- Strong understanding of data modeling patterns in columnar databases
- Experience building curated datasets used by analysts and business stakeholders
- Experience working with modern data stack tools such as Fivetran or similar ingestion frameworks
- Strong communication skills and ability to collaborate with non-technical stakeholders
Benefits
Comp & perks- Highly competitive compensation
- Fully paid medical, dental and vision coverage
- Remote work
- Team-oriented and collaborative company culture