Senior Analytics Engineer

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $140k - $165k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Chainguard

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🔐 Security

☁️ SaaS

🔒 Cybersecurity

Security • SaaS • Cybersecurity

Chainguard is a company that specializes in building secure container images to enhance software security and compliance. Their products include low-to-zero CVE container images, which are updated daily to maintain security and compliance standards such as FedRAMP, NIST 800-53, PCI-DSS, SOC2, and CIS benchmarks. Chainguard focuses on reducing vulnerabilities, automating compliance, and supporting development workflows without compromising on innovation and productivity. The company serves a wide range of industries, including highly regulated sectors, by providing hardened image solutions to mitigate software supply chain risks and enhance application security.

📋 Description

• Own and evolve core components of the 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. • Develop trusted sources of truth supporting company-wide decision-making. • Partner with stakeholders across Finance, Go-to-Market, Product, Engineering, Customer Success, and other business functions. • Gather requirements, understand business problems, translate needs into technical solutions, and communicate tradeoffs. • Build and improve dashboards, analytical tools, and enablement materials. • Own data products across discovery, design, implementation, testing, documentation, deployment, monitoring, governance, and iteration. • Improve reliability, observability, performance, and data quality of ELT workflows and integrations. • Establish standards for data modeling, testing, documentation, lineage, governance, access controls, and metric consistency. • Use AI to improve analytics workflows and enable new forms of analysis. • Triage technical and data-quality issues, identify root causes, and drive durable resolutions. • Mentor and support junior analytics teammates through technical guidance, code review, knowledge sharing, and reusable patterns. • Help shape the Analytics technical roadmap through automation, process improvement, and scalable platform investments.

🎯 Requirements

• 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 with modern ELT and activation tools such as Fivetran and Hightouch, or comparable technologies. • Experience with cloud data platforms and warehouses; Google Cloud Platform and BigQuery strongly preferred. • Experience with business intelligence and semantic-layer tools such as Omni, Looker, Sigma, Tableau, Mode, Hex, or similar platforms; Omni experience is a plus. • 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. • 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. • 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 preferred, but not required. • 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. • Receive stock options upon hire and promotion. • Participate in secondary offerings and have 10 years to exercise your options. • 100% covered health, vision and dental insurance premiums for you and your dependents. • ∞ Flexible Time Off. • 18 weeks paid parental leave for birthing parents and 12 weeks for non-birthing parents. • Team meetup opportunities and bi-annual destination summits.