Where is the work:Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.
About the role
As a Senior Data Scientist focused on data engineering, you will discover, connect, transform, and operationalize engineering data and knowledge so that it can be reliably used by downstream AI systems, applications, and engineering workflows.
You will work across distributed data sources, structured and unstructured content, metadata, lineage, quality, cloud data services, and reusable headless data capabilities. You will help make engineering data discoverable, trustworthy, and ready for retrieval and agent use.
What you will do
- Discover engineering data and knowledge sources across distributed systems and repositories.
- Build data-ingestion, and integration pipelines.
- Connect structured and unstructured engineering data.
- Implement metadata, cataloging, lineage, and discoverability capabilities.
- Establish data quality, validation, and observability practices.
- Implement GCP or comparable cloud data platform services.
- Design interfaces for downstream AI systems and applications.
- Prepare data and knowledge for retrieval and agent use.
- Support graphs, entities, and relationship modeling.
- Build reusable headless data services.
- Use GitHub workflows, CI/CD, Terraform, and automated testing.
- Prepare requirements, specifications, constitutions, contracts, context, and AI harnesses.
- Implement security, access control, privacy, and governance controls.
- Deploy and support production data services.
- Use Terraform for infrastructure provisioning and repeatable environment management.
Required qualifications
- Bachelor's degree in data engineering, computer science, engineering, or related field. Master's degree preferred.
- Two to five years of relevant experience is acceptable.
- Experience discovering and integrating distributed data sources.
- Experience with structured and unstructured engineering data.
- Experience with metadata, cataloging, lineage, and discoverability.
- Experience with data quality, validation, and observability.
- GCP or comparable cloud data-platform experience.
- Experience preparing data and knowledge for retrieval and agent use.
- Experience with graph, entity, and relationship modeling.
- Experience building reusable headless data services.
- Experience with GitHub workflows, CI/CD, and automated testing.
- Experience with requirements, specifications, constitutions, contracts, and AI harnesses.
- Experience with security, access control, privacy, and governance.
- Production deployment and operational-support experience.
What success looks like
- You discover and connect priority engineering data and knowledge sources.
- You deliver reliable ingestion, integration, transformation, and validation pipelines.
- You improve metadata, lineage, discoverability, and operational observability.
- You prepare data and knowledge for retrieval, agent use, and downstream applications.
- You establish repeatable Terraform, GitHub, testing, and deployment practices.
- Your work delivers measurable value for multiple engineering use cases.
Annual Base Salary Range or Hourly Base Pay Range:$90,900.00 - $189,800.00
Compensation Type:Salary
Incentive Eligible:Yes
Sales Commission Eligible:No
Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.
Thrive at work and at home:- Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
- Family building benefits include fertility coverage and adoption/surrogacy assistance.
- Paid time off includes up to 15 vacation days, paid holidays, sick leave, and additional options to support volunteer and parental leave.
- 401K match up, educational and training opportunities through company programs along with tuition assistance and student debt support.
Disclaimer: Benefit offerings may vary by site as well as Collective Bargaining Agreements and local/state regulations
Safety Sensitive Role:No
The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.
