Senior Data Engineer

This is a remote position.

Position Title: Senior Data Engineer

Base Salary: $114,700 to $154,200 annually DOE

Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off, parental leave, quarterly performance bonus, training, career growth, and education reimbursement programs.

Ziply Fiber is a local internet service provider dedicated to elevating the connected lives of the communities we serve. We offer the fastest home internet in the nation, a refreshingly great customer experience, and affordable plans that put customers in charge. 

As our state-of-the-art fiber network expands, so does our need for team members who can help us grow and realize our goals.

Our Company Values:

• Genuinely Caring:  We treat customers and colleagues like neighbors, with empathy and full attention. 

• Empowering You:  We help customers choose what is best for them, and we support employees in implementing new ideas and solutions. 

• Innovation and Improvement:  We constantly seek ways to improve how we serve customers and each other.  

• Earning Your Trust:  We build trust through clear, honest, human communication. 

Job Summary

The Senior Data Engineer owns the reliability of production data pipelines and orchestration workflows that support billing, analytics, and operational reporting. This role is hands-on and operations-forward: you will run, improve, and modernize existing SQL-based ETL and scheduled workflows, respond to failures through an on-call rotation, and harden monitoring, scheduling, and data quality controls. The environment is hybrid (legacy + modern), and success depends on disciplined workflow operations, pragmatic modernization, and strong troubleshooting.

The ideal candidate enjoys owning production workflows end-to-end—including scheduling, incident response, root cause analysis, and continuous improvement—while driving pragmatic modernization within a hybrid (legacy and cloud) environment.

Essential Duties and Responsibilities:

The Essential Duties and Responsibilities listed below are a range of duties performed by the employee and not intended to reflect all duties performed.

Workflow Orchestration and Automation

· Own and optimize scheduled workflows, including dependency management, resource controls, and alerting (AutoSys used heavily.

Production Reliability and On-Call Support

· Participate in an on-call rotation and respond to production pipeline failures; troubleshoot, restore service, and drive root cause fixes to prevent recurrence.

Data Quality and Validation Engineering