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Data Engineer

Chantilly, VA, US • Posted 15 hours ago • Updated 2 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

Data Integration
FOCUS
Analytics
Decision-making
Workflow
Data Marts
Unstructured Data
Data Quality
Collaboration
Data Governance
Regulatory Compliance
Data Storage
Documentation
Data Flow
Computer Science
Software Engineering
Data Engineering
SQL
Relational Databases
PostgreSQL
MySQL
Microsoft SQL Server
Big Data
Apache Spark
Apache Hadoop
Extract
Transform
Load
ELT
Apache Airflow
Informatica
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Programming Languages
Python
Scala
Java
Data Warehouse
Amazon Redshift
Data Modeling
Snow Flake Schema

Summary

Overview

We are seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making.

What will you do?

Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT)
Build and optimize data architectures, including data lakes, data warehouses, and data marts
Ingest, process, and transform large volumes of structured and unstructured data
Ensure data quality, integrity, and reliability across systems
Collaborate with data analysts, data scientists, and business stakeholders to define data requirements
Implement data governance, security, and compliance best practices
Optimize data storage, query performance, and cost efficiency in cloud environments
Monitor and troubleshoot data pipeline performance and failures
Maintain documentation for data flows, systems, and processes

Do you have what it takes?

Active TS/SCI with Polygraph required.
Bachelor's degree in computer science, Software Engineering, or related field.
5+ years of experience in data engineering or a related field
Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)
Experience with big data processing frameworks (e.g., Spark, Hadoop)
Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar
Experience with cloud data platforms (AWS, Azure, or Google Cloud Platform)
Proficiency in programming languages such as Python, Scala, or Java
Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
Strong understanding of data modeling concepts (star/snowflake schemas)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL806649
Position Id: 9bfd6a4866bd7fef3def570986fbb606
Posted 15 hours ago

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