Databricks Data Engineer - Dashboards & Pipelines

Seneca Resources Company, LLC; Richmond (VA); On-site; USD 88,000 - 118,000; Part time

Job summary

Seneca Resources is seeking a Data Engineer specializing in Databricks and Data Visualization to join a contract role near Richmond, VA. You will design end-to-end data solutions, build scalable pipelines, and deliver insightful dashboards while ensuring security and governance within a compliant environment.

The ideal candidate will have 5–7 years of data engineering experience with Databricks, strong SQL/ETL skills, and hands-on BI tool expertise (Tableau, Power BI, QuickSight).

Qualifications

• 5–7 years of data engineering experience focusing on Databricks and pipelines.
• Experience with data lakes, warehouses, and structured data management.
• Strong SQL, ETL development, and data governance skills.
• Hands-on visualization with Tableau/Power BI/QuickSight.

Responsibilities

• Collaborate with stakeholders to gather requirements and translate them into technical data solutions.
• Design, build, and maintain scalable data pipelines and ETL processes using Databricks and related tools.
• Develop, optimize, and govern data lakes, warehouses, and datasets for analytics.
• Create dashboards/reports using Tableau/Power BI/QuickSight.
• Automate data workflows with Power Automate or similar.
• Monitor data quality and ensure governance/compliance.
• Work cross-functionally with engineering, security, and analytics teams.

Skills

SQL

ETL development

Data governance

Data pipelines

5-7 years data engineering

Tools

Databricks

Tableau

Power BI

QuickSight

AWS

Job description

Seneca Resources is seeking a Data Engineer specializing in Databricks and Data Visualization to join a contract role near Richmond, VA. You will design end-to-end data solutions, build scalable pipelines, and deliver insightful dashboards while ensuring security and governance within a compliant environment.

The ideal candidate will have 5–7 years of data engineering experience with Databricks, strong SQL/ETL skills, and hands-on BI tool expertise (Tableau, Power BI, QuickSight).