Remote Data Engineer for Fraud Analytics & Pipelines

Magnus Management Group LLC; United States; Remote; USD 110,000 - 140,000; 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, build, and maintain scalable data pipelines enabling advanced fraud analytics. You will manage ingestion, transformation, quality control, and optimization of data across cloud analytics platforms, using SQL and Python across diverse sources.

The role requires 3+ years of data engineering experience, Databricks and SQL Server skills, and familiarity with data governance.

Qualifications

• 3+ years of 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.
• Familiarity with EDM standards.
• Experience supporting fraud detection analytics preferred.

Responsibilities

• Design, develop, and maintain scalable enterprise data pipelines for fraud analytics.
• Ingest, transform, and quality-control structured and unstructured data across cloud analytics platforms.
• Apply SQL and Python to ingest/transform data from flat files, JSON, XML, Excel, APIs, and databases.
• Work with Databricks Unity Catalog and SQL Server managed instances, including streaming/batch ingestion and Lakehouse architectures.
• Implement standard data quality controls, ensuring data lineage, reliability, and performance while collaborating with cross-functional teams.
• Familiarity with data governance and EDM standards; support fraud detection analytics.

Skills

SQL

Python

ETL pipelines

Databricks

Azure SQL

Data governance

Fraud analytics

Tools

Databricks Unity Catalog

SQL Server

Job description

Magnus Management Group LLC is seeking a Data Engineer to design, build, and maintain scalable data pipelines enabling advanced fraud analytics. You will manage ingestion, transformation, quality control, and optimization of data across cloud analytics platforms, using SQL and Python across diverse sources.

The role requires 3+ years of data engineering experience, Databricks and SQL Server skills, and familiarity with data governance.