Data Management Engineer

Job Description

This role supports the technical implementation of Enterprise Data Management (EDM) solutions within the organization's Databricks ecosystem. While the position participates in a variety of EDM initiatives, the primary focus is on delivering and supporting technical solutions that align with established DNA architecture, engineering standards, governance requirements, and deployment patterns. This is not a platform administration role. Instead, the individual will work within established frameworks and standards created by platform, architecture, and engineering teams to develop, support, and enhance EDM capabilities. We are looking for someone who:

• Has strong technical curiosity and enjoys solving data-related challenges.
• Can work effectively within established architectural patterns and development standards.
• Is comfortable developing, maintaining, and troubleshooting Databricks-based solutions.
• Understands software development lifecycle concepts including source control, testing, deployment, and production support.
• Can coordinate and provide technical direction to a small offshore development team.
• Communicates effectively with both business and technical stakeholders.
• Demonstrates ownership and accountability for delivering quality solutions.

Pay range: 55-63/hr

Skills and Requirements

Databricks

• SQL development

• Python development

• Notebook creation and maintenance

• Query optimization

• View and table development

• Dashboard development

• Data transformation and data engineering concepts

• Unity Catalog fundamentals Source Control and DevOps

• DevOps repositories

• GitHub repositories

• Branching and merge strategies

• Pull requests and code reviews

• CI/CD concepts

• Release management practices

• Automated deployment processes Databricks Deployment Frameworks Experience with or willingness to learn:

• Databricks Asset Bundles (DABs)

• Deployment automation

• Environment promotion practices

• Infrastructure-as-code concepts

• Enterprise deployment standards Data Management

• Metadata concepts

• Data lineage

• Data quality practices

• Reference data management

• Data governance fundamentals

• Power BI development

• Anomalo

• data.world

• Azure DevOps

• Data modeling

• Agile delivery methodologies

• Insurance data concepts

• Vendor coordination and offshore team leadership

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].