Senior Data Analytics Engineer, Databricks
Factorial
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Job Level
About the role
- Own the end-to-end implementation of data solutions, from problem definition to production deployment
- Design scalable data models and pipelines that support business-critical use cases
- Improve performance, reliability, and cost-efficiency of our Databricks environment
- Lead technical decisions around data architecture and implementation patterns
- Ensure production-grade quality through testing, code review, observability, and monitoring
- Partner with functional teams to clarify requirements and deliver 1–2 high-impact data solutions
- Review the current data platform and produce a short, actionable improvement plan
- Build and productionize core datasets in Databricks across Bronze/Silver/Gold
Requirements
- Strong SQL skills (query optimization, partitioning, performance tuning)
- Strong Python skills
- Experience building and deploying jobs in Databricks
- Solid understanding of distributed data processing
- Experience working with large datasets
- Ability to independently design and implement end-to-end solutions
- Comfort using Bash and cloud CLIs (AWS/Azure)
- Infrastructure-as-Code experience (Terraform, ARM, CloudFormation) preferred
- Experience with Docker and CI/CD pipelines preferred
- Experience deploying databases or services in cloud environments preferred
- Experience with NoSQL databases (e.g., MongoDB) preferred
- Understanding of Lakehouse architectures preferred
- Strong system design fundamentals preferred
- Open-source contributions preferred
Benefits
- Remote work
- Opportunities for growth and development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonDatabricksBashTerraformARMCloudFormationDockerCI/CDNoSQL
Soft Skills
problem definitiontechnical decision makingcollaborationindependent designimplementation