Remote Data Engineer I - ETL & Analytics for Oversight

Knowesis Inc.; Washington (District of Columbia); Remote; USD 159,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401k matching

Dental and Vision

Job summary

Knowesis, Inc. is seeking an experienced Data Engineer to support the Pandemic Response Accountability Committee (PRAC) by designing, building, and maintaining scalable data pipelines for analytics, fraud detection, and investigative work across federal programs.

You will develop and optimize ETL processes and lakehouse environments using Azure Databricks, SQL Server, Power BI, and graph databases, collaborating with data scientists, investigators, and OIG partners in a fast-paced oversight

Qualifications

• Minimum of three years of professional data engineering experience.
• Strong proficiency in SQL and Python, with experience in ingesting and transforming data from diverse sources.
• Experience with Databricks Unity Catalog and SQL Server managed instances.
• Familiarity with data governance, data quality, and 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 and optimize data ingestion workflows supporting fraud analytics and investigative use cases.
• Implement data quality control processes ensuring accuracy, lineage, and performance.
• Prepare analytic-ready datasets for machine learning, graph analytics, and fraud detection models.
• Collaborate with investigators and data scientists to deliver analytics-ready datasets.

Skills

SQL

Python

ETL pipelines

Data governance

Data quality

Fraud analytics

Cloud platforms

Education

Bachelor’s degree

Master’s degree (preferred)

Tools

Databricks Unity Catalog

SQL Server

Azure Databricks

neo4j

Power BI

Job description

Knowesis, Inc. is seeking an experienced Data Engineer to support the Pandemic Response Accountability Committee (PRAC) by designing, building, and maintaining scalable data pipelines for analytics, fraud detection, and investigative work across federal programs.

You will develop and optimize ETL processes and lakehouse environments using Azure Databricks, SQL Server, Power BI, and graph databases, collaborating with data scientists, investigators, and OIG partners in a fast-paced oversight