Data Engineer

ICF • Reston, VA

16d • Hybrid

About The Position

ICF is seeking a skilled Data Engineer to join our Corporate IT organization. You will design, build, and maintain the data infrastructure that powers insights and decision-making across our practices and support organizations. Working at the intersection of enterprise data platforms and client-facing analytics, you will have direct impact on how our firm manages and monetizes its most asset — data. This is a high-visibility role reporting to the Sr. Director of Solution Architecture. You will collaborate closely with data analytics, cloud architecture, and application development teams in a fast-paced, client-driven environment. This position is Hybrid, with a preference for working a few days on-site in Reston, VA.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field
• 4+ years of experience in data engineering, data architecture, or a closely related role
• 3+ years of demonstrated experience building and maintaining production data pipelines at scale
• 3+ years of experience working in an enterprise IT environment
• 3+ years of experience with advanced SQL and proficiency in at least one scripting language (Python strongly preferred)
• 3+ years of hands-on experience with a major cloud data platform (AWS, Azure, or GCP)
• 3+ years of experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory
• SQL (advanced)
• Python
• PySpark
• Bash/Shell
• Scala
• Microsoft Fabric
• Azure Synapse
• Azure Data Factory
• Apache Airflow
• dbt
• Databricks
• Kafka
• Spark
• Terraform
• Docker
• Kubernetes
• GitHub Actions
• CI/CD

Nice To Haves

• Familiarity with streaming/real-time data processing (Kafka, Fabric Event Streams, or Spark Streaming)
• Strong understanding of data modeling concepts and frameworks — star schema, OBT, Data Mesh
• Familiarity with version control (Git) and software development best practices
• Exposure to data governance frameworks and metadata management tools (Collibra, Alation)
• Cloud certifications (AWS Data Analytics, Azure Data Engineer Associate, or equivalent)
• Master's degree in a relevant field
• Strong analytical and problem-solving skills with attention to data accuracy and quality
• Effective communicator — able to translate complex technical concepts for non-technical stakeholders
• Collaborative team player comfortable working across cross-functional teams
• Self-directed with ability to manage multiple priorities in a deadline-driven environment

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines that move data across on-prem, cloud, and hybrid environments
• Architect and manage enterprise data warehouses, data lakes, and Lakehouse solutions (Databricks, AWS/Azure)
• Write production-quality SQL, Python, and Spark code for data transformation, enrichment, and validation
• Implement and enforce data governance, lineage tracking, and cataloging standards across the organization
• Ensure data quality through automated monitoring, testing frameworks, and SLA adherence
• Partner with data analysts, data scientists, and business stakeholders to understand and fulfill data requirements
• Support CI/CD practices and infrastructure-as-code for data platform deployments
• Document data models, pipeline flows, and technical specifications to support knowledge transfer

Benefits

• We are an equal opportunity employer.
• Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level