Senior/Staff Analytics Engineer
Build and maintain data pipelines, analytics models, dashboards, and external data products while partnering with engineering, product, implementation teams, and customers. The role requires 5+ years of analytics or data engineering experience, strong dbt and SQL expertise, and customer-facing collaboration skills.
About the job
Responsibilities
- Own end-to-end implementations for data products serving external customers.
- Build and maintain scalable data pipelines and analytics models using Python, dbt, and SQL.
- Create and manage dashboards in external and internal analytics products.
- Prototype new data products.
- Collaborate with engineering to drive the data-product roadmap.
- Use GitHub-based workflows to maintain clean, version-controlled analytics code.
- Serve as a subject matter expert for analytics best practices.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
- Expertise in dbt, SQL, and GitHub-based development; Python experience is a plus.
- Strong experience designing, implementing, and maintaining data pipelines and models.
- Experience in customer-facing roles with technical and business stakeholders.
- Excellent problem-solving, communication, and collaboration skills.
Nice-to-haves
- Experience working with asset managers, business owners, or financial services datasets.
Compensation and Benefits
- OTE of $150,000–$170,000, dependent on skills, experience, location, and other qualifications.
- Stock options.
- Medical, dental, and vision coverage.
- 401(k).
- Short-term and long-term disability coverage.
- Flexible vacation.
Skills
Python, SQL, dbt, GitHub, Data Pipelines, Data Modeling, Analytics Engineering, Dashboards, Data Products, Version Control
Similar jobs
Data Engineering jobs
Shield AI
San Diego, CA
Leads the architecture and hands-on development of a knowledge-graph-centered data platform for AI and autonomy workflows. The role requires deep distributed data systems expertise, strong Go or Python engineering skills, and experience with storage, APIs, infrastructure, and production reliability.
DAT Freight & Analytics
Denver, CO
Leads architecture and technical governance for an enterprise-scale data platform, driving distributed systems, data modeling, cloud infrastructure, and operational best practices. Requires 7+ years of engineering experience and a bachelor’s degree.
Twilio
United States
Architects scalable data systems and platforms using distributed technologies like Spark, Kafka, and AWS. Mentors engineers and drives innovation on large-scale data projects, requiring 8+ years experience and expertise in data infrastructure.
United States
Leads the design, operation, and technical direction of Pinterest’s data workflow and context control planes, driving reliability, scalability, AI-native capabilities, and open-source contributions. Requires 10+ years of distributed-systems experience, infrastructure expertise, and proficiency in Python or Java.
United States
Provides technical leadership for Pinterest’s data warehouse foundation and agentic analytics platforms at massive scale. The role designs warehouse architecture, leads cross-functional initiatives, mentors engineers, and requires extensive data platform experience plus hands-on AI tooling expertise.