1 month ago
Remote, United States +2 moreMid Level
Base Salary
$81k - $139k/yr
Responsibilities
- Build and maintain data pipelines, transformations, semantic views, conformed dimensions, and consumption-ready data models.
- Implement ETL/ELT workflows, data quality checks, validation, exception handling, automated testing, release-readiness evidence, and defect resolution.
- Develop and maintain pipeline documentation, metadata, data lineage, operational runbooks, technical designs, and delivery evidence.
- Support lakehouse architectures, enterprise data warehouse modernization, legacy workload migration, and cloud transformation initiatives.
- Collaborate with data owners, governance personnel, product and engineering teams, data scientists, AI engineers, architects, security teams, and customer stakeholders.
- Support analytics, reporting, self-service BI, machine learning, predictive analytics, NLP, and generative AI data use cases.
- Implement DataOps capabilities including automated deployments, CI/CD integration, observability, monitoring, and operational telemetry.
Requirements
- U.S. citizenship is required for federal contract work.
- Must reside in the United States, be authorized to work in the United States, perform all work in the United States, and have lived in the U.S. for three of the last five years.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Science, Statistics, Software Engineering, or a related field, or a high school diploma with four additional years of relevant experience in lieu of the degree.
- At least three years of relevant experience aligned with the role’s responsibilities.
- Relevant experience may include designing and maintaining cloud-based data pipelines, data products, analytical platforms, lakehouse architectures, data models, quality controls, governance documentation, and production data workflows.
- Strong experience with Databricks, Delta Lake, Apache Spark, SQL, Python, Databricks Workflows, Azure Data Factory, notebooks, orchestration frameworks, and modern DataOps practices is preferred.
- Experience with Unity Catalog, metadata management, governance controls, Power BI, enterprise reporting platforms, semantic models, MLOps, AI/ML workflows, and Azure cloud data services is preferred.
- Experience supporting federal government, healthcare, or other highly regulated environments is preferred.
- Experience working in Agile, DataOps, DevSecOps, or cross-functional delivery teams is preferred.
- Strong analytical, problem-solving, decision-making, communication, organization, prioritization, collaboration, and attention-to-detail skills are required.
Benefits
- Remote work within the United States, with a strong preference for candidates in the Washington, DC Metro Area and occasional onsite client meetings in Washington, DC.
- The role is contingent upon a contract award and is not an immediate opening; interviews and offers are being conducted in anticipation of the award.
- Work locations are monitored, access from foreign locations and foreign IP addresses is blocked, and personal VPN connections are prohibited.
- ICF provides equal opportunity employment and reasonable accommodations for disability, religious, and veteran-related needs.
Tech Stack
Categories
Data Engineering
About ICF
ICF is a global consulting and technology services firm serving government and commercial clients across domains such as energy, health, climate, and digital modernization. It delivers advisory, program implementation, analytics, and software-enabled solutions on platforms like ServiceNow. Founded in 1969 and headquartered in Reston, Virginia, ICF is a public company traded on NASDAQ and works extensively with U.S. federal, state and local agencies as well as regulated industries.