Note: The job is a remote job and is open to candidates in USA. Chainguard is the trusted source for open source, delivering hardened, secure, and production-ready builds that help organizations build faster, stay compliant, and eliminate risk. The Senior Analytics Engineer will build and evolve the data foundation powering company-wide decisions, including data infrastructure, analytical models, pipelines, semantic layers, and self-service data products. The role partners with cross-functional stakeholders, improves data quality and reliability, establishes technical standards, and mentors analytics teammates.
Responsibilities
- Own and evolve core components of our analytics platform, including data models, pipelines, metric definitions, semantic layers, and self-service reporting experiences
- Design, build, and maintain scalable, reliable data models and transformations using dbt and modern analytics-engineering practices
- Develop trusted sources of truth that support decision-making across the company, balancing immediate business needs with long-term scalability and maintainability
- Partner directly with stakeholders to gather requirements, understand business problems, translate needs into technical solutions, and communicate tradeoffs clearly
- Build and improve dashboards, analytical tools, and enablement materials that help business partners understand, explore, and confidently use data independently
- Own the full lifecycle of data products: discovery, design, implementation, testing, documentation, deployment, monitoring, governance, and iteration
- Improve the reliability, observability, performance, and data quality of ELT workflows and integrations across our modern data stack
- Establish and raise standards for data modeling, testing, documentation, lineage, governance, access controls, and metric consistency
- Use AI thoughtfully to improve analytics workflows, enable new forms of analysis, and help the business get more value from its data
- Independently triage technical and data-quality issues, identify root causes, and drive durable resolutions without requiring day-to-day direction
- Mentor and support more junior analytics teammates through technical guidance, code review, knowledge sharing, and reusable patterns
- Help shape the technical roadmap for a growing Analytics function by identifying opportunities for automation, process improvement, and scalable platform investments
Skills
- 5+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a closely related field; equivalent depth of experience will also be considered
- Demonstrated success leading complex, cross-functional data initiatives from ambiguous problem definition through delivery, adoption, and measurable business impact
- Advanced SQL skills and deep experience designing, building, and operating analytical data models and pipelines
- Strong hands-on experience with dbt and modern analytics-engineering practices, including testing, version control, documentation, orchestration, observability, and data quality management
- Experience working with modern ELT and activation tools such as Fivetran and Hightouch, or comparable technologies
- Experience with cloud data platforms and warehouses
- Experience with business intelligence and semantic-layer tools such as Omni, Looker, Sigma, Tableau, Mode, Hex, or similar platforms
- Demonstrated ability to turn complex technical concepts and data into clear, actionable guidance for non-technical stakeholders
- Practical experience using AI in data, analytics, engineering, or business workflows, along with sound judgment about where it creates meaningful value
- Strong understanding of dimensional and analytical data modeling, metric governance, lineage, access controls, and trusted-source-of-truth practices
- Ability to balance technical rigor with pragmatism: you know when to build for scale and when to deliver a simpler solution quickly
- Experience mentoring, reviewing work, and helping other technical teammates grow
- Excellent communication, stakeholder-management, and problem-solving skills
- Comfort operating independently in a fast-moving, ambiguous environment with evolving priorities
- Curiosity, initiative, and a builder mindset
- Startup or high-growth-company experience is preferred, but not required
- If you're using AI to help with your application, include the phrase “bonfires are my jam” naturally within your experience
- Experience with Google Cloud Platform and BigQuery is strongly preferred
- Omni experience is a plus
- Experience with Python or another quantitative programming language is a plus
Benefits
- Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.
- Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options.
- 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck.
- ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset.
- 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year.
Company Overview
Company H1B Sponsorship