Mid-Level Databricks​/Informatica Data Engineer

Mid-Level Databricks/Informatica Data Engineer

Anywhere

Type: Contract

Category: Data

Industry: Government

Workplace Type: Remote

Standard

Hours:

Open

Reference : JN -

Date Posted: 09/15/2026

Shortcut:

Remote

Our client seeks a Mid-Level Databricks/Informatica Data Engineer to support enterprise data modernization, cloud migration, analytics, and integration initiatives. The role involves building scalable data pipelines in Databricks, developing ETL/ELT solutions with Informatica, and supporting cloud-based data platforms that enable business intelligence, reporting, and advanced analytics.

• Medical, Dental, and Vision benefits, 401k with company matching, and life insurance
• medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

Rate: $65.00 to $80.00/hr. w2

• Design, develop, and maintain enterprise ETL/ELT pipelines using Informatica Power Center and/or Informatica Intelligent Cloud Services (IICS).
• Build and optimize Databricks notebooks, workflows, and data pipelines for large-scale data processing.
• Develop and support data ingestion frameworks from structured and unstructured data sources.
• Implement data transformations, cleansing, enrichment, and validation processes.
• Create scalable solutions using PySpark, Spark SQL, and Delta Lake.
• Collaborate with business stakeholders, data architects, analysts, and application teams to define data requirements.
• Troubleshoot and resolve data integration, performance, and data quality issues.
• Support migration from legacy data warehouses and ETL platforms to modern cloud-based architectures.
• Develop and maintain technical documentation, data mappings, and operational runbooks.
• Participate in Agile development activities including sprint planning, code reviews, and deployments.

• 5+ years of experience in data engineering, ETL development, or data warehousing.
• 3+ years of experience with Databricks, Apache Spark, or cloud-based analytics platforms.
• 3+ years of experience with Informatica Power Center, Informatica IICS, or Informatica Cloud.
• Strong SQL development and performance tuning experience.
• Experience designing and implementing enterprise-scale data integration solutions.
• Understanding of dimensional modeling, data warehousing, and master data management concepts.
• Strong analytical, troubleshooting, and communication skills.
• Preferred:
  Snowflake, Microsoft Fabric, Azure Synapse, or Redshift.
• Preferred:
  Experience in AWS, Azure, or Google Cloud environments.
• Preferred:
  Knowledge of Delta Lake, Medallion Architecture, and Data Lakehouse concepts.
• Preferred:
  Informatica and/or Databricks certifications.
• Preferred: CI/CD pipelines, Git, Azure Dev Ops, or Git Hub.
• Preferred:
  Experience supporting Federal Government, DoD, DHS, or other regulated environments. Active Public Trust or Security Clearance preferred.
• Desired: 5-8 years of overall IT experience and experience designing end-to-end enterprise data platforms.
• Desired:
  Experience supporting reporting, analytics, AI/ML, and business intelligence workloads.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in…