Jobs / ICF***
Data Engineer (Public Trust Required)
ICF*** · Rockville, MD, United States
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Rockville, MD, United States98,614-167,644 USD/yearlyHybrid
Remuneration
98,614-167,644 USD/yearly
Location
Rockville, MD, United States
Visa sponsorship
Sponsors visa
Job summary
Description ICF*** is seeking a detail-oriented Data Engineer to support the development, optimization, and deployment of large-scale healthcare data pipelines and analytical datasets. This role will focus on cancer registry and population-based data systems.
Benefits
Coverage Act.Candidate AI Usage PolicyAt ICF, we are committed to ensuring a fair interview process for all candidates
Qualifications
- gathering and design to implementation, validation, and maintenance.
- This position can be based in Rockville, MD or Atlanta, GA and offers a hybrid work arrangement, with 2–3 days per week onsite at the ICF*** office.
- Position requires a minimum of 2 years of experience in data engineering or working with healthcare data environments
- BA/BS in computer science, Data Science, Statistics, Public Health Informatics, Bioinformatics, or related field
- The position requires strong expertise in data integration, transformation, quality control, and the delivery of production-ready data for analytics and reporting platforms.
- Demonstrated hands-on experience with Python, PySpark, Spark SQL, and commonly used Python libraries for data processing and analysis
- Experience with Python libraries such as pandas, NumPy, PyArrow, matplotlib, Plotly, or similar
Responsibilities
- As part of the team contributing to the fight against cancer, you will work with high-volume, complex structured datasets using NAACCR registry-standard formats.
- Design, develop, and maintain scalable, cloud-based data pipelines using Python, PySpark, and SQL in cloud environments
- Process and standardize large-scale healthcare datasets, including cancer registry, mortality, and population data
- Develop and maintain production databases, analytic datasets, and reporting tables for statistical analysis and surveillance
- Perform rigorous data quality validation, reconciliation, and consistency checks across large datasets
- Collaborate with epidemiologists, statisticians, and analysts to design and implement data solutions for analytics needs
- Troubleshoot data pipeline failures and large-scale data processing issues
Skills
CommunicationMedical License
Degrees
AssociateBachelor
Industry
EducationEnergyHealthcare
Company size
Smb
Contract length
2 years
Security clearance
ConfidentialPublic trust