Technology

ETL Data Engineer

BURGEON IT SERVICES LLCWashington, DC🇺🇸United StatesPosted Sep 18, 2026

Quick Overview

Seniority

Mid Senior

Work mode

On Site

Location

Washington, DC, United States

Posted

22 hours ago

OracleSQLETLTableauAirflowApacheAzureData PipelineDatabricksPostgreSQLPython

Job Description

15+ Years of Experience Required
Job Description:
We are looking for a Senior ETL Data Engineer to support an enterprise data team in Washington, DC. This is a 100% onsite role focused on building, enhancing, and supporting data pipelines and data transformation processes using Microsoft Azure technologies.

Strong hands-on experience with ETL and end-to-end data pipelines
Azure Data Factory (ADF), Azure Synapse, Azure SQL, ADLS Gen2, and Blob Storage
Strong SQL experience with relational databases
Experience working with Oracle, PostgreSQL, DB2, CSV, XML, Parquet, and AVRO
Experience with data integration tools such as Informatica, Apache NiFi, Airflow, or FME
Experience gathering requirements and developing data extraction, transformation, and loading solutions
Knowledge of data warehousing, data lakes, BI, and data governance
Ability to monitor, automate, troubleshoot, and optimize data pipelines
Strong communication skills and ability to work with business and technical stakeholders
Databricks and Python experience is a plus
Visualization experience with Tableau, MicroStrategy, or Esri ArcGIS is a plus

Required / Desired Skills

Skill	Required / Desired	Amount	of Experience
Strong knowledge for development of Extract-Transform-Load (ETL) processes, including end-to-end pipelines with data loading from multiple sources	Required	15	Years
Ability to gather and document requirements for data extraction, transformation and load processes	Required	15	Years
Understanding of data warehousing, data lake, business intelligence and information management concepts and standards.	Required	15	Years
Ability to advise internal and external customers on appropriate tools and systems for complex data processing challenges.	Required	15	Years
Knowledge and use of SQL for relational databases	Required	11	Years
Experience with various data formats including database specific (Oracle, SQL, Postgres, DB2), text formats (CSV, XML) and Binary (Parquet, AVRO)	Required	11	Years
Contribute to enterprise data governance standards by ensuring accuracy, consistency, security and reliability	Required	7	Years
Strong experience with Microsoft Azure tools such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, Blob Storage	Required	5	Years
Experience with data integration and data pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow and FME	Required	5	Years
Experience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGIS	Highly desired	3	Years
Strong communication skills, both oral and written	Required	3	Years
Ability to provide excellent customer service to external partners	Required	3	Years
Ability to work independently or as part of a larger team	Required	3	Years
Experience performing data functions with Databricks	Highly desired	3	Years