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# Data Engineer

- **Company:** Eliassen Group
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $133,120.0 - $153,920.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Profiling, Information Engineering, Data Integration, Data Transformation, Apache Hadoop, MapReduce, Apache Hive, Python (Programming Language), Scaled Agile Framework, SQL Databases, Google Cloud, Snowflake, Apache Spark, Electronic Medical Records, AWS Glue, Data Management, Software Coding, Data Pipelines
- **Published:** October 9, 2026
- **Apply:** https://www.dice.com/job-detail/2391f114-3e00-465a-abba-88f212e1afb9

## About the Role

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., * 5+ years in application or data engineering with hands-on coding.

 * 4+ years with big data technologies such as Spark, Hadoop ecosystem, or EMR.
 * 4+ years with cloud platforms such as AWS, Azure, or Google Cloud Platform, with emphasis on AWS Glue and related services.
 * Proficiency in Python and SQL. Java experience is beneficial.
 * Experience with Airflow for orchestration and administration.
 * Background in data analysis, profiling, and production support of pipelines.
 * Familiarity with tools such as EMR, MapReduce, Hive, Snowflake, or Redshift.
 * Experience working within Agile engineering practices.

## Description

Our client seeks two Data Engineers to build and support batch-oriented data pipelines for AML and personal loans initiatives. The team operates in a micro-pod structure and requires hands-on engineering across Spark, Python, AWS Glue, Airflow, and SQL. Engineers will develop data integrations, perform data analysis and profiling, and provide production support to ensure timely delivery ahead of a hard deadline prior to May. Candidates must be comfortable with in-person interviews including a Python coding test, system design and testing, and SQL assessments., * Design, build, and maintain batch data pipelines and data integrations to transform large data volumes with quality.

 * Develop in Spark and Python on AWS services including Glue and related data platforms.
 * Administer and orchestrate workflows using Airflow.
 * Write performant SQL for data transformation, validation, and analysis.
 * Profile datasets and conduct data analysis to support pipeline health and downstream consumption.
 * Provide production support and promptly resolve issues in a shared on-call rotation as needed.
 * Collaborate within small engineering pods aligned to initiatives for AML and personal loans.
 * Contribute to API or data-serving layers that expose curated datasets to consumers.