Senior Analytics Engineer

Jobtailor; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking an experienced data/analytics engineer to architect and scale data products and pipelines. You will lead the ELT processes, shape the analytical roadmap, and foster a culture of data-driven decision making.

You will mentor engineers, improve data observability and governance, and help drive AI integration across teams while ensuring data security and privacy compliance.

Qualifications

• 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.).
• Proven track record of working with data teams in a fast-paced startup environment.
• Proven track record of cross-functional collaboration with stakeholders.
• Data protections and privacy focus (PII, GDPR, FedRAMP, FIPS, etc.).

Responsibilities

• Architect, build and maintain efficient and reliable data products and pipelines.
• Influence strategy and drive execution of analytical roadmap and self-service BI at scale.
• Provide leadership and mentorship to engineers, promoting quality and collaboration.
• Improve trust via data discoverability, observability, and lineage.
• Contribute to data security strategy protecting sensitive information.
• Solve critical business problems with programming, optimization, and analytics.
• Drive AI adoption and identify opportunities to scale data products.
• Build scalable AI-powered systems for analytics across teams.
• Advise leadership on AI capabilities, limitations and strategy.

Skills

Advanced SQL

Data modeling

ETL/ELT design

CI/CD

Cross-functional collaboration

Problem solving

Mentorship

Tools

Snowflake

dbt

Looker

CI/CD tooling

Job description

• 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.

Requirements

• 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.)