Senior Data Engineer (Back-End Systems)

Quick Facts

• Role: Senior Data Engineer (Back-End Systems)

• Focus: Back-end applications, automated jobs, integrations, and ETL pipelines

Description

Design, build, and support back-end systems that move and process operational data. Own solutions end-to-end—from technical design and testing through deployment, monitoring, and production support—while troubleshooting unknown systems and verifying expected outcomes. Work cross-functionally to deliver reliable, secure, and maintainable data platforms.

Responsibilities

• Design, develop, and maintain back-end applications, automated jobs, and data integrations using SQL Server, C#/.NET, and Python
• Develop and optimize T-SQL stored procedures, database schemas, and data processing logic
• Build integrations that exchange data via REST APIs, databases, and files
• Develop ETL/EL pipelines with validation, logging, error handling, retry logic, and recovery procedures
• Design processing workflows that prevent duplicate loads and enable safe restarts
• Investigate and resolve root causes across application code, SQL databases, scheduled jobs, APIs, and file transfers
• Improve performance using execution plan analysis, indexing, concurrency management, and code optimization
• Modernize existing systems while building new automation and integrations
• Write automated tests and reconcile source and target data for completeness and accuracy
• Own changes through impact analysis, implementation, testing, deployment, rollback planning, and production verification
• Use source control, code reviews, and controlled release practices to reduce deployment risk
• Translate business requirements into technical designs and document dependencies, configuration, and support procedures
• Use AI-assisted development tools as appropriate; review and validate generated output
• Support production systems outside normal work hours when business needs require it

Requirements

• Bachelor’s degree in Computer Science or related field, or equivalent combination of education and experience
• 5–8 years of relevant experience developing and supporting back-end applications, database solutions, or automated data processing systems
• Strong SQL Server and T-SQL development skills (stored procedures, transactions, indexing, query performance tuning)
• Hands-on programming experience with C#/.NET or Python in production environments
• Experience developing system integrations using REST APIs, authentication, and structured data formats such as JSON
• Experience building automated data pipelines with dependency management, incremental loads, failures, and recovery
• Understanding of relational data modeling, data integrity, and database concurrency
• Ability to troubleshoot production systems using application logs, database diagnostics, and monitoring tools
• Ability to work across application development, database engineering, and production operations, including systems with limited documentation
• Experience with Git, code reviews, automated testing, and continuous integration and deployment
• Working knowledge of Azure services used for application hosting, data storage, or integration
• Experience working within an Agile software development lifecycle
• Strong analytical and problem-solving skills with attention to data accuracy and operational reliability
• Clear written and verbal communication skills, including technical documentation
• Ability to work independently, collaborate across teams, and manage competing priorities

Benefits

• Comprehensive benefits package (medical, dental, vision, 401k, PTO/paid sick leave)
• Employee stock purchase plan (based on eligibility)