Remote Data Engineer I for Fraud Analytics & Investigations

Knowesis Inc.; Washington (District of Columbia); Remote; USD 93,000 - 155,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

STD & LTD

Life Insurance

401k Company Match

Voluntary Products

Job summary

Knowesis, Inc. is seeking an experienced Data Engineer I to support the Pandemic Response Accountability Committee (PRAC) by designing, building, and maintaining scalable ETL pipelines that enable advanced analytics, investigative intelligence, and fraud detection across federal programs.

The role is remote with occasional site visits and requires a Public Trust (HSPD-12) clearance. The position offers a salary range of $115,000 – $155,000 per year, with a contingent status upon contract award

Qualifications

• Minimum of three (3) years of professional experience in data engineering or closely related field.
• Experience designing, building, and maintaining scalable ETL pipelines across diverse data sources.
• Strong SQL and Python skills with experience ingesting/transferring data from flat files, JSON, XML, Excel, APIs, and graph databases.
• Experience with Databricks Unity Catalog and SQL Server managed instances including streaming and batch ingestion.
• Experience implementing data quality control processes to ensure data quality, lineage, reliability, and performance.
• Experience with data governance, data quality, and data management practices consistent with EDM standards.
• Experience supporting fraud detection, anomaly detection, or financial analytics environments.

Responsibilities

• Design, build, and maintain scalable ETL pipelines to ingest, transform, and prepare data from diverse sources.
• Develop data ingestion workflows supporting fraud analytics and investigative use cases.
• Implement data quality control processes, ensuring accuracy, lineage, reliability, and performance across all analytic datasets.
• Prepare analytic-ready datasets for machine learning, graph analytics, and fraud detection models.
• Collaborate with OIG and law enforcement partners to support data needs for investigative leads and case work.
• Evaluate emerging data engineering tools and Lakehouse technologies; provide recommendations for PRAC.

Skills

ETL design

SQL proficiency

Python proficiency

Data governance

Fraud analytics familiarity

Education

Bachelor's degree in Computer Science or related

Master's degree in Data Engineering/Data Science

Tools

Databricks Unity Catalog

SQL Server Managed Instances

Azure Databricks

AWS Glue

Job description

Knowesis, Inc. is seeking an experienced Data Engineer I to support the Pandemic Response Accountability Committee (PRAC) by designing, building, and maintaining scalable ETL pipelines that enable advanced analytics, investigative intelligence, and fraud detection across federal programs.

The role is remote with occasional site visits and requires a Public Trust (HSPD-12) clearance. The position offers a salary range of $115,000 – $155,000 per year, with a contingent status upon contract award