Mid-Level Databricks/Informatica Data Engineer
Eliassen Group
Description 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.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $65.00 to $80.00/hr. w2
JN -
Responsibilities
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.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $65.00 to $80.00/hr. w2
JN -
Responsibilities
- Design, develop, and maintain enterprise ETL/ELT pipelines using Informatica PowerCenter 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 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: 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.
Vacancy posted 2 days ago
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