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# Data Engineer

- **Company:** STEAMPUNK  INC.
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Microsoft Azure, Big Data, C++ (Programming Language), Apache Lucene, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Data Systems, Data Warehousing, Relational Databases, Database Queries, Elasticsearch, Apache Hadoop, Integrated Development Environments, Python (Programming Language), PostgreSQL, Machine Learning, NoSQL, Object-Oriented Software Development, Commercial Software, Queueing Systems, Standard Sql, Scala (Programming Language), Apache Solr, SQL Databases, Data Streaming, Unstructured Data, Workflow Management Systems, Data Processing, Apache Spark, Luigi, Cassandra, Apache Kafka, Spark Streaming, Data Management, Stream Processing, Data Pipelines, Databricks
- **Published:** October 28, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9269665/data-engineer

## About the Role

We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving., * Ability to hold a position of public trust with the US government.

 * Bachelor's degree and 5+ years of experience.
 * 2-4 years industry experience coding commercial software and a passion for solving complex problems.
 * 2-4 years direct experience in Data Engineering with experience in tools such as:
 + Big data tools: Hadoop, Spark, Kafka, etc.
 + Relational SQL and NoSQL databases, including Postgres and Cassandra.
 + Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
 + AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
 + Data streaming systems: Storm, Spark-Streaming, etc.
 + Search tools: Solr, Lucene, Elasticsearch
 + Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
 * Experience with Databricks.
 * Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
 * Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
 * Experience manipulating, processing, and extracting value from large, disconnected datasets.
 * Experience manipulating structured and unstructured data for analysis.
 * Experience constructing complex queries to analyze results using databases or in a data processing development environment.
 * Experience with data modeling tools and process.
 * Experience architecting data systems (transactional and warehouses).
 * Experience aggregating results and/or compiling information for reporting from multiple datasets.
 * Experience working in an Agile environment.
 * Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.

## Description

* Lead and architect migration of data environments with performance and reliability.
 * Assess and understand the ETL jobs, workflows, BI tools, and reports
 * Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
 * Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
 * Key must have skill sets - Python, AWS
 * Support an Agile software development lifecycle
 * You will contribute to the growth of our Data Exploitation Practice!