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About the Role
We are hiring for both permanent and contract positions for this role. We're looking for a developer to help build and maintain data pipelines on Databricks for a financial services/wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze → silver → gold) using PySpark, and publishes curated data to downstream consumers via file exports and Kafka. You'll work alongside a senior engineer, writing transform code, fixing pipeline issues, and helping keep the environment healthy across dev/qa/uat. This is a good fit for someone with solid Python fundamentals and some Spark/SQL exposure who wants to grow into a data engineering specialist. You won't be expected to know Databricks internals on day one — you will be expected to learn fast, ask good questions, and write clean code.
Responsibilities
- Writing and maintaining PySpark transforms for silver and gold layer tables.
- Working with Lakeflow Declarative Pipelines and Auto CDC / SCD Type 2 patterns for change-data-capture merges.
- Querying and validating data in Unity Catalog across environments using SQL warehouses.
- Debugging failed pipeline runs by reading pipeline event logs, tracing bad records, and fixing schema drift or data quality issues.
- Maintaining reference/lookup tables and small utility scripts.
- Writing and updating unit/integration tests for transform logic.
- Participating in code review, using Git feature branches and merge requests.
- Keeping documentation current.
Requirements
- Comfortable writing clean, readable Python code; understands functions, modules, basic OOP.
- Experience with Databricks.
- Some exposure to Apache Spark / PySpark, or strong SQL skills plus a willingness to learn Spark quickly.
- Working knowledge of SQL (joins, aggregations, window functions).
- Basic Git workflow: branches, commits, pull/merge requests.
- Comfortable reading other people's code and stack traces, and debugging methodically.
Skills
- Python
- Databricks
- Apache Spark
- PySpark
- SQL
- Git
- Delta Lake
- Medallion architecture
- CDC/SCD concepts
- Azure
- Kafka
- CI/CD pipelines
- GitLab CI
Location
- Remote
Work Type
- Permanent
- Contract
- Full-time
Experience Level
- Mid-level
Salary/Compensations
- $110,000 - $160,000 a year
About the Company
- Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen. We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients. We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible. If you’re looking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright!
Equal Opportunity
- Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.