Remote Data Engineer: Fraud Analytics Pipelines

Magnus Management Group LLC; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Magnus Management Group LLC is seeking a Data Engineer to design, develop, and maintain scalable data pipelines supporting advanced fraud analytics. The role focuses on ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud analytics platforms.

Responsibilities include building ETL pipelines, applying SQL and Python, and ensuring data quality and governance within EDM standards. Experience with Databricks and Azure SQL is preferred.

Qualifications

• Minimum 3 years data engineering experience.
• Strong SQL skills.
• Strong Python programming.
• Experience building ETL pipelines.
• Experience with Databricks.
• Experience with Azure SQL or SQL Server.
• Experience implementing data quality processes.

Responsibilities

• Bring a minimum of three (3) years of professional experience in data engineering or a related field.
• Design, build, and maintain scalable ETL pipelines across diverse data sources.
• Apply strong SQL and Python skills, or equivalent technologies, to ingest and transform data from flat files, JSON, XML, Excel, APIs, graph databases, with flexibility to adapt to additional formats and sources as needed.
• Load, manage, and optimize data within platforms such as Databricks Unity Catalog and SQL Server managed instances, including work with streaming and batch ingestion frameworks and modern Lakehouse architecture.
• Implement standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating effectively with cross‑functional teams.
• Have familiarity with data governance, data quality, and data management practices consistent with enterprise data management (EDM) standards.
• Have experience supporting fraud detection, anomaly detection, or financial oversight analytics environment preferred.

Skills

SQL

Python

ETL pipelines

Data engineering

Tools

Databricks

Azure SQL

SQL Server

Job description

Magnus Management Group LLC is seeking a Data Engineer to design, develop, and maintain scalable data pipelines supporting advanced fraud analytics. The role focuses on ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud analytics platforms.

Responsibilities include building ETL pipelines, applying SQL and Python, and ensuring data quality and governance within EDM standards. Experience with Databricks and Azure SQL is preferred.