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.
Key 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
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
Basic Qualifications:
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
Preferred Qualifications:
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
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. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.
We will consider for employment qualified applicants with arrest and conviction records.
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. To request an accommodation, please email [email protected] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [email protected]. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
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:
$98,614.00 - $167,644.00Virginia Remote Office (VA99)Skills Required
- 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
ICF Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ICF and has not been reviewed or approved by ICF.
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Healthcare Strength — Healthcare coverage appears comprehensive, with multiple medical plan options plus dental and vision coverage. Mental-health support is also emphasized through an EAP offering therapy and coaching sessions alongside other wellbeing resources.
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Retirement Support — Retirement benefits include a 401(k) match with immediate vesting, which strengthens the long-term value of the package. An employee stock purchase plan is also described as available, adding another savings/ownership pathway.
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Parental & Family Support — Family-building benefits include fertility/surrogacy and adoption reimbursements and additional support services for parents. These programs broaden the total rewards proposition beyond base pay.
ICF Insights
What We Do
ICF is a leading global solutions and technology provider with approximately 9,000 employees in industries across the public and private sectors. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.
Why Work With Us
At ICF, we’ve built a culture rooted in expertise, innovation, and purpose—enabling us to build a more prosperous and resilient world for all. When our employees grow, our solutions thrive—regardless of your role, team, or location, you’ll have opportunities to make connections, build community, and take action to develop your career.
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