Senior Data Engineer

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 refreshing customer experience, and affordable plans that put customers in charge.

• 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.

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.

• Own and optimize scheduled workflows, including dependency management, resource controls, and alerting (Auto Sys used heavily).

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

• Build and maintain validation checks and reconciliation controls to ensure data integrity across critical datasets.
• Support SOX (Sarbanes‑Oxley) readiness by designing, documenting, and evidencing controls over financial and billing data pipelines, and partnering with internal audit and the third‑party assessor on testing and remediation.
• Maintain and enhance existing production data pipelines for ingestion, transformation, and storage of large datasets; implement pragmatic modernization where it reduces operational risk.
• Troubleshoot and resolve data pipeline and ETL failures, implementing robust monitoring and alerting systems.
• Automate manual run steps and harden workflows to reduce paging/noise and improve recovery time.

• Optimize data models for analytics and business intelligence reporting.
• Build and maintain data infrastructure, ensuring performance, reliability, and scalability.
• Implement best practices for data governance, security, and compliance.
• Work with structured and unstructured data, integrating data from various sources including databases, APIs, and streaming platforms.

• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and design appropriate solutions.
• Mentor and train junior engineers, fostering a culture of learning and innovation.
• Develop and maintain documentation for data engineering processes and workflows.

• Performs other duties as required to support the business and evolving organization.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Minimum of eight (8) years of experience in data engineering, ETL development, or related fields.
• Strong proficiency in SQL Server (T‑SQL), including complex query development and stored procedures used in production ETL workflows.
• Familiarity with Linux/Unix and scripting technologies utilized on them.
• Proficiency in programming…