Remote Senior Data Engineer - Fraud Analytics in Azure

Vinsys Information Technology Inc; Tacoma (WA); Hybrid; USD 120,000 - 170,000; Full time

Job summary

The Senior Data Engineer will design, implement, maintain, and improve an integrated and flexible data architecture within SBA OIG s Microsoft Azure environment.

The role will support audits, investigations, fraud analytics, and machine-learning activities by developing sustainable data pipelines, migrating source data, improving data quality, implementing source control, and maintaining reliable cloud-based data-processing environments.

Qualifications

• Bachelor's degree in Data Engineering, Computer Science, Data Science, ML, Mathematics, or related field.
• Five years of applied work experience in one or more of these fields.
• Maintaining SQL databases and conducting advanced SQL/T-SQL operations.
• Designing, implementing, and maintaining ELT/ETL processes in cloud-based environments.
• Experience with Azure Synapse, Azure Machine Learning, Python, and modern data stacks.

Responsibilities

• Provide authoritative expertise in data-engineering methods and best practices.
• Apply code-first development approaches and modern pipeline-design patterns.
• Design and maintain a secure, stable, scalable, and flexible data architecture.
• Manage data assets through source control.
• Design, implement, and maintain ELT/ETL pipelines.
• Develop pipelines using Azure Synapse and Azure Machine Learning.
• Work with Azure Machine Learning SDK V1 and SDK V2.
• Migrate source data into Azure Data Lake Storage.
• Review, maintain, and improve existing architecture and pipelines.
• Conduct periodic reviews to identify bottlenecks, deprecated dependencies, and architecture drift.
• Implement pipeline quality controls, error handling, logging, monitoring, and validation checks.
• Incorporate source control into data pipelines and analytics codebases.
• Optimize data ingestion, processing, storage, and retrieval.
• Work with structured, semi-structured, and unstructured data.
• Use modern columnar formats, including Parquet.
• Normalize common entity attributes, including names, addresses, telephone numbers, and other identifying information.
• Develop self-service capabilities that allow SBA OIG analysts to query and export data.
• Coordinate with data scientists to support machine-learning models and analytical pipelines.
• Develop SOPs for authoring, developing, validating, publishing, executing, and monitoring pipelines and assets.
• Develop data dictionaries, entity-relationship diagrams, pipeline maps, and architecture documentation.
• Expand the environment with additional datasets and services as requested.
• Establish intake, testing, and production-deployment procedures.
• Monitor pipelines to ensure performance and regular dataset updates.
• Recommend architecture changes that reduce cloud costs.
• Evaluate emerging AI, automation, coding-assistant, and LLM-assisted data-engineering capabilities.

Skills

SQL

T-SQL

Python

Data modeling

Data quality

ELT/ETL design

Education

Bachelor's degree in Data Engineering, Computer Science, Data Science, ML, Mathematics, or related field

Five years of applied work experience in one or more of these fields

Tools

Azure Synapse

Azure Machine Learning

Python SDKs

CI/CD workflows

Pandas

Job description

The Senior Data Engineer will design, implement, maintain, and improve an integrated and flexible data architecture within SBA OIG s Microsoft Azure environment.

The role will support audits, investigations, fraud analytics, and machine-learning activities by developing sustainable data pipelines, migrating source data, improving data quality, implementing source control, and maintaining reliable cloud-based data-processing environments.