[Hiring] Databricks Engineer @Openkyber

Role Description

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
• 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.

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

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
• Experience in AWS, Azure, or Google Cloud environments
• Knowledge of Delta Lake, Medallion Architecture, and Data Lakehouse concepts
• Informatica and/or Databricks certifications
• CI/CD pipelines, Git, Azure DevOps, or GitHub
• 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
• Experience supporting reporting, analytics, AI/ML, and business intelligence workloads

Education Requirements

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

Benefits

• Medical, Dental, and Vision benefits
• 401k with company matching
• Life insurance