SQL Data Engineer/W2 Contract

Stellent IT LLC

Richmond (VA)

Hybrid

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Stellent IT LLC in Richmond, VA is seeking a SQL Data Engineer for a hybrid, W2 contract role. This project supports three high-priority data models used for Federal Regulatory Reporting, with modernization and optimization to boost operational excellence.

You will enhance and modernize data models, improve efficiency and reliability of data processes, develop automation, and work with SQL-based processing on cloud platforms such as Snowflake or Databricks.

Qualifications

Strong SQL experience with data modeling and validation.
Experience with Snowflake and/or Databricks.
Experience with AI automation and automated testing.
Hands-on TDD and data processing workflows.
Analytical problem solving and troubleshooting.

Responsibilities

Modernize and optimize data models for Federal Regulatory Reporting.
Improve efficiency, scalability, and reliability of data processes.
Develop automation to reduce manual effort and streamline operations.
Analyze workflows and identify optimization opportunities.
Work with SQL processing on cloud data platforms.
Support data validation and testing throughout development lifecycle.
Develop and execute automated testing strategies.
Apply Test-Driven Development (TDD) where applicable.
Collaborate with technical and business teams to deliver data solutions.
Identify and resolve data quality, performance issues.
Contribute to operational excellence across models.
Explore and implement AI-driven automation opportunities.

Skills

SQL expertise

Snowflake/Databricks

AI automation

Data validation

TDD

Data workflows

Troubleshooting

Tools

Snowflake

Databricks

Job description

Job Title: SQL Data Engineer
Location: Richmond, VA
Work Arrangement: Hybrid
Contract on W2

Project Overview

This project supports three high-priority data models used for Federal Regulatory Reporting.

The models were originally built several years ago and now require modernization and optimization to achieve greater operational excellence. The Data Engineers will focus on enhancing existing models, improving efficiencies, introducing automation, and streamlining daily data processes.

Key Responsibilities

Enhance and modernize existing data models supporting Federal Regulatory Reporting.
Improve efficiency, scalability, and reliability of existing data processes.
Develop automation solutions to reduce manual effort and streamline daily operations.
Analyze existing data workflows and identify opportunities for optimization.
Work with SQL-based data processing and modern cloud data platforms.
Support data validation and testing activities throughout the development lifecycle.
Develop and execute automated testing strategies.
Apply Test-Driven Development (TDD) practices where applicable.
Collaborate with technical and business teams to understand requirements and deliver reliable data solutions.
Identify and resolve data quality, process, and performance issues.
Contribute to operational excellence across the supported regulatory reporting models.
Explore and implement AI-driven automation opportunities to improve data and reporting processes.