Data Engineer

Pay and benefits

Design, build, and optimize scalable ETL/ELT pipelines that move data across on-prem, cloud, and hybrid environments Implement and manage enterprise data warehouses, data lakes, and Lakehouse solutions (Microsoft Fabric) 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 Technical skills Languages & querying SQL (advanced) Python PySpark Bash/Shell Scala Cloud & platforms Microsoft Fabric Azure Synapse Azure Data Factory Orchestration & pipelines Apache Airflow dbt Databricks Kafka Spark Infrastructure & DevOps Terraform Docker Kubernetes GitHub Actions CI/CD Qualifications Basic Qualifications Bachelor's degree 4+ years of experience in data engineering, data architecture, or a closely related role Additional Qualifications Demonstrated experience building and maintaining production data pipelines at scale Experience working in a professional services, consulting, or enterprise IT environment preferred Advanced SQL and proficiency in at least one scripting language (Python strongly preferred) Hands-on experience with a major cloud data platform (AWS, Azure, or GCP) Strong understanding of data modeling concepts and frameworks - star schema, Data Mesh Practical experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory Familiarity with version control (Git) and software development best practices Preferred Skills/Experience Familiarity with streaming/real-time data processing (Kafka, Fabric Event Streams, or Spark Streaming) Exposure to data governance frameworks and metadata management tools (Microsoft Purview, Collibra, Alation) Cloud certifications (Azure Data Engineer Associate, or equivalent) Master's degree in a relevant field Professional Skills 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 Bot and Third-Party Applications Please note that this application must be submitted directly by the applicant for consideration.

Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact for assistance. Working at ICF ICF is a global advisory and technology services provider, but we're not your typical consultants.

We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals.

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Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is: $108,006.00 - $183,610.00 Reston, VA (VA30)