Data Engineer

ADG Tech Consulting, LLC.
Washington, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Washington, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Continuous Integration
Data as a Services
Data Cleansing
Information Engineering
ETL
Github
Python
PostgreSQL
Liquibase
Oracle Applications
Performance Tuning
SAS (Software)
Scala
PL-SQL
Tableau
Sql Optimization
Informatica Powercenter
Spark
Data Lake
Oracle Service Cloud
Deployment Automation
Data Pipelines
Devsecops
Legacy Systems
Jenkins
Redshift
Databricks

Job description

Seeking a Senior Data Engineer to support an enterprise-scale data-lake modernization effort. This role will help design, develop, and sustain large analytical data platforms using Databricks, Informatica, Oracle, AWS services, and related technologies., * Develop scalable data pipelines using Databricks (E2), Delta Lake, Spark, Scala, Python

  • Integrate high-volume inbound/outbound data interfaces across ODS and analytical marts
  • Enhance existing data lakes, data ponds, and analytical environments
  • Implement data quality, validation, and governance frameworks using Informatica IICS
  • Support real-time and batch ETL/ELT pipelines
  • Collaborate with engineering, DevSecOps, and cloud teams
  • Tune large-scale queries in Oracle, PostgreSQL, and Redshift
  • Maintain legacy systems while modernizing the tech stack
  • Support automated deployment using Jenkins, Liquibase, GitHub
  • Produce architecture documentation, SOPs, and CONOPS

Requirements

  • 7+ years Data Engineering experience
  • Expertise in Databricks, Delta Lake, Spark (Scala/Python)
  • Advanced SQL/PL-SQL and performance tuning
  • AWS services: S3, Glue, Lambda, Athena, Kinesis, RDS, DMS
  • Informatica IICS / Data Quality tools
  • CI/CD (Jenkins, GitHub, Liquibase)
  • Experience with enterprise data warehousing

Preferred:

  • SAS, Tableau, Oracle Analytics Server
  • Senzing, Graph Data Services
  • Section 508 knowledge
  • Experience with federal programs

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