Databricks Engineer/Remote
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-19
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Software Development
Data Engineering, Python, SQL Developer
We are working with a leading automotive manufacturing company seeking a Senior Integration Engineer for a fully remote contract opportunity in the United States. This role will focus on enterprise data integration and analytics using IBM Data Stage, PySpark, Databricks, Python, SQL, and Delta Lake. The initial contract is three months, with renewals every three months.
This is an opportunity to work on enterprise-scale data integration initiatives, building reliable pipelines that connect applications and transform data into governed assets for reporting and analytics. The team is looking for a hands-on engineer who can develop, troubleshoot, and optimize production data pipelines while contributing to modern Databricks architecture, data quality, and automation practices. The role offers exposure to modern data engineering technologies within a large automotive manufacturing environment.
ContractDuration:
3 months, with renewals every 3 months
Required Skills & Experience- Hands‑on experience with IBM Data Stage and PySpark.
- Strong Python and SQL development skills.
- Experience designing, developing, and supporting ETL and data integration pipelines.
- Experience with Databricks and data ingestion from multiple sources, including files, APIs, and databases.
- Understanding of Bronze, Silver, and Gold data-layer architecture.
- Experience with data transformations, incremental processing, schema enforcement, and data quality.
- Experience troubleshooting production data pipelines and implementing error handling and recovery.
- Familiarity with Git Hub, version control, code reviews, and CI/CD practices.
- Experience with Delta Lake and Spark Declarative Pipelines.
- Experience integrating data through enterprise transfer services such as Sterling.
- Familiarity with automated testing, pipeline monitoring, and quarantine patterns.
- Experience developing governed data products for reporting and analytics.
- Ability to document solution architecture, data flows, dependencies, and source-to-target mappings.
- Experience working in large enterprise or automotive manufacturing environments.
- 30% IBM Data Stage and ETL development
- 30% PySpark and Databricks
- 20% Python and SQL transformations
- 10% Delta Lake and Spark Declarative Pipelines
- 10% Git Hub, CI/CD, testing, and monitoring
- 50% Hands‑on development, data pipeline engineering, and troubleshooting
- 20% Data quality, testing, deployment, and production support
- 15% Architecture documentation and source-to-target mapping
- 15% Team collaboration with project and platform teams
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