contract Data Engineer

We are seeking a contract Data Engineer to support a program focused on data analytics, data engineering, Databricks, and AI/analytics capabilities. Approximately 80% of the role will focus on engineering and correlating data from multiple source systems to provide trusted context for a target system and its AI functions. The remaining 20% will support BI activities using Power BI and/or Databricks Dashboards. The contractor must work mostly independently with minimal guidance, translate high-level requirements into actionable solutions, and bring clarity to ambiguous problems.

Job Responsibilities

• Develop data pipelines, transformations, curated datasets, and analytical data products using Databricks and related technologies.
• Learn and interpret data models, definitions, relationships, and quality characteristics across multiple source systems.
• Correlate and integrate data to create comprehensive, trusted context for operational, AI, and advanced analytics use cases.
• Translate high-level or ambiguous requirements into clear technical approaches, assumptions, work plans, and outcomes.
• Identify data gaps, dependencies, risks, and quality issues; drive stakeholder alignment and resolution.
• Document data models, source-to-target mappings, transformation logic, lineage, and assumptions.
• Develop and maintain BI dashboards and visualizations using Power BI and/or Databricks Dashboards.
• Collaborate with data owners, subject-matter experts, engineers, and program stakeholders while owning deliverables from discovery through implementation.
• Support testing, deployment, troubleshooting, monitoring, and continuous improvement.

some BI **Manufacturing or IOT Telemerty data experience would be a HUGE plus ** Vehicle teletry data would also work, * Strong hands-on experience with Databricks and Medallion Architecture, including Bronze, Silver, and Gold data layers.

• Experience designing and implementing data ingestion and transformation pipelines in Databricks.
• Strong understanding of Change Data Capture (CDC) concepts and implementation for incremental data processing.
• Hands-on experience with CDC and data replication tools, including Oracle Golden-Gate and related transaction/log-based capture mechanisms.
• Experience integrating CDC data into Databricks/Spark-based data pipelines and handling inserts, updates, deletes, and incremental loads.
• Strong proficiency in Python and PySpark for data engineering, transformation, cleansing, aggregation, and large-scale data processing.
• Ability to explain the complete source-to-target data flow, including data capture, ingestion, transformation, validation, and loading into downstream systems.
• Hands-on experience troubleshooting data ingestion failures, CDC issues, data quality problems, and pipeline performance bottlenecks.
• Candidates must be able to clearly explain the tools used, their purpose, implementation approach, and their personal hands-on contribution in previous projects.

Need a problem solver that is not afraid to ask for help. some of the work requires this person going to various orgs within GM to get answers., * Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field, or equivalent experience.

• Experience in data engineering, data analytics, or a related technical role.
• Hands-on experience with Databricks, SQL, and Python, PySpark, or comparable data engineering tools.
• Experience integrating and correlating data from multiple source systems and working with complex data models.
• Experience developing data pipelines, transformations, curated data layers, or analytical data products.
• Experience with Power BI and/or Databricks Dashboards.
• Familiarity with data quality, governance, metadata, lineage, and documentation practices.
• Experience supporting AI, machine learning, or advanced analytics use cases is preferred.
• Demonstrated ability to work independently, exercise sound judgment, and deliver with very little guidance.
• Strong problem-solving and communication skills, including the ability to create clarity from high-level requirements and drive cross-functional alignment.