Remote Databricks & Informatica Data Engineer

Eliassen Group; Helena (MT); Remote; USD 90,000 - 110,000; Part time

Benefits offered by this job

Medical, dental, and vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Mid-Level Databricks/Informatica Data Engineer to support enterprise data modernization and cloud migration on a remote contract basis. You will design and optimize ETL/ELT pipelines, build Databricks data flows, and enable BI analytics across cloud platforms.

The role emphasizes scalable data ingestion, Delta Lake, and collaboration with data architects, analysts, and stakeholders.

Qualifications

• 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 PowerCenter, 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 DevOps, or GitHub.
• Preferred: Federal Government/ DoD/ DHS regulated environments and Public Trust clearance.

Responsibilities

• Design, develop, and maintain enterprise ETL/ELT pipelines using Informatica PowerCenter and/or 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.

Skills

Analytical thinking

Troubleshooting

Communication skills

Data integration design

Education

Bachelor's degree in Computer Science/IS/Engineering

Tools

Databricks

Apache Spark

Informatica PowerCenter

Informatica IICS

SQL

Delta Lake

Job description

Eliassen Group is seeking a Mid-Level Databricks/Informatica Data Engineer to support enterprise data modernization and cloud migration on a remote contract basis. You will design and optimize ETL/ELT pipelines, build Databricks data flows, and enable BI analytics across cloud platforms.

The role emphasizes scalable data ingestion, Delta Lake, and collaboration with data architects, analysts, and stakeholders.