Database Engineer (contract)

Description

Summary: In this contingent resource assignment, you may:

• Consult on complex initiatives with broad impact and large-scale planning for Database Engineering.
• Review and analyze complex multi-faceted, larger scale or longer-term Database Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.

Key Responsibilities

• Design, develop, and maintain scalable ETL solutions using SSIS, Azure Data Factory (ADF), and related technologies.
• Build and support enterprise data pipelines and workflows to enable data ingestion, transformation, and delivery.
• Develop, optimize, and troubleshoot complex SQL queries, stored procedures, functions, and database objects.
• Perform database performance tuning, query optimization, indexing strategies, and capacity planning.
• Design and maintain solutions across multiple database platforms including SQL Server, Azure SQL, Oracle, and Teradata.
• Develop automation solutions using Python and other scripting technologies.
• Utilize Data Engineering best practices to build highly available, scalable, and maintainable solutions.
• Participate in Agile ceremonies and collaborate with cross-functional teams throughout the software development lifecycle.
• Support CI/CD deployment processes and source code management practices.
• Partner with business and technical teams to gather requirements and translate them into technical solutions.
• Provide technical application support, troubleshooting, and root cause analysis when needed.
• Leverage AI-enabled tools and automation technologies to improve development efficiency, code quality, and operational effectiveness.

Key Requirements

• Applicants must be authorized to work for ANY employer in the U.S.
• This position is not eligible for visa sponsorship.
• Experience designing and developing ETL solutions using SSIS, Azure Data Factory (ADF), or similar technologies.
• Experience with relational database management systems including: SQL Server, Azure SQL, Oracle, Teradata.
• Experience with Python development.
• 5+ years of advanced T-SQL experience including: Complex queries, Stored procedures, Functions, Indexing strategies, Performance optimization, Database performance tuning and optimization experience.
• Data Engineering experience.
• 2+ years of Agile experience.
• 2+ years of experience with: Azure SQL, Azure Database Services, Azure Data Factory (ADF).
• 1+ year of experience with development and deployment tools including: Git, Git Actions, Artifactory, Harness, Internal Developer Platforms (IDP), ServiceNow, EPL-X or similar pipeline tooling.
• 1+ year of experience with advanced analytics and data platforms such as: Databricks, Snowflake.

Preferred Qualifications

• Experience with ETL orchestration and scheduling tools such as Autosys.
• Strong understanding of: Liquibase, NoBuild deployment frameworks, Advanced Python development.
• Experience with automated testing frameworks including: Hyper Execute, OctaneRobot Framework.
• Experience with Azure-based cloud data solutions and modern DevOps practices.
• Understanding of Databricks capabilities including: Apache Spark, Delta Lake, Workflow orchestration, Large-scale data processing, Snowflake data platform experience.
• Experience leveraging AI tools for: Code generation, Debugging, Refactoring, Test automation, Development workflow optimization.