Senior Analytics Engineer
Job in
California, Moniteau County, Missouri, 65018, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
- Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making.
- Build and maintain ELT pipelines from source systems to data warehouses.
- Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale.
- Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality.
- Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship.
- Contribute towards a robust data security strategy protecting sensitive information and content.
- Solve critical business problems through the application of programming, optimization, automation, and analytical skills.
- Drive functional strategy for AI adoption, identifying transformational opportunities that create competitive advantage in how we build and scale our data products.
- Build scalable AI-powered systems that fundamentally change how analytical work gets done across multiple teams.
- Serve as a trusted advisor to leadership on AI capabilities, limitations, and strategic implications for our data platform.
- Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function.
- Transform core data and analytics processes through strategic AI integration—including intelligent pipeline monitoring, automated data quality checks, and AI-assisted insight generation.
- Quantify AI impact on key data metrics and make data-driven recommendations for continued investment.
- Minimum 5+ years of relevant experience in data engineering and/or analytics engineering
- Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB
- Expertise with data modeling and ETL/ELT (DBT preferred, pipeline development a plus)
- Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred)
- Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development
- Proven track record of working with data teams in a fast-paced, startup environment
- Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders
- Solutions-driven and thrives when given ambiguous, open-ended problems
- Proven success driving projects through implementation to completion, including stakeholder education and onboarding
- Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.)
Position Requirements
10+ Years
work experience
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