Data Engineer
Role details
Job location
Tech stack
Job description
- Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows and decision-making
- Build high performing and scalable data systems, applications, and data pipelines to process very large amounts of data from multiple sources
- Develops services, controls, and reusable patterns that enable the team to deliver value safely, quickly, and sustainably in the public cloud and on prem
- Collaborate on Big Data systems, and features within an Agile environment
- Collaborate with cross-function teams of developers, senior architects, product managers, DevOps, and project managers
- Deliver solutions that are devoid of significant security vulnerabilities
- Foster high-performance, collaborative technical work resulting in high-quality output
- Proactively automate infrastructure, application and services to enable an automated delivery through the CI/CD pipelines to the cloud and on prem
- Help convert current on prem ETL pipelines from .Net to cloud using azure data factory/data bricks
- Help maintain current .Net framework till conversions are complete
- Excellent time management, communication, decision making, and presentation skills
- Display a strong desire to achieve and attain high levels of both internal and external customer satisfaction
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or equivalent work experience
- 7+ years of experience in large Database Administration
- 7+ years of experience with SQL Server (T-SQL), including performance tuning, indexing strategies, and Query Store analysis
- 7+ years of experience with High Availability (HA) and Disaster Recovery (DR) solutions such as Always On Availability Groups, mirroring, enterprise data security
- 4+ years of experience with data replication tools such as Service Broker
- 4+ years of experience with partitioning
- 4+ years of experience supporting Data Integration tool SSIS from a connectivity and performance troubleshooting perspective
- 2+ years of experience monitoring and alerting in an enterprise environment (i.e. Redgate)
- 2+ years of experience managing Cloud databases (Azure SQL DB, Azure Synapse, SQL Managed Instances, or Snowflake), including storage optimization and cost management; monitoring and alerting tool Azure Monitor; and managing data integration tools (Azure Data Factory) from a connectivity and performance troubleshooting perspective
- 2+ years experience with CI/CD pipelines (Azure DevOps/GitHub Actions/Azure App Service) specifically for automated database deployments and schema migrations
- 2+ years of experience automating database tasks using PowerShell or Python
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.