Senior Data Engineer

Ziply Fiber

Senior Data Engineer managing and optimizing production data pipelines for Ziply Fiber's telecommunications services. Collaborating with cross-functional teams to ensure data integrity and operational reliability.

Posted 7/11/2026full-timeRemote • Washington • 🇺🇸 United StatesSenior💰 $114,700 - $154,200 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLLinuxMySQLOraclePostgresPythonSQLUnix

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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 languages such as Python for data engineering tasks.
Familiarity with Microsoft Azure data services (for example, Azure Data Factory or Azure Synapse Analytics) is a plus; this role is primarily SQL Server–based and focused on production operations rather than greenfield cloud builds.
Experience supporting production analytics/data warehouse environment (SQL Server, Azure SQL, or similar; Snowflake experience is a plus), including performance, reliability, and operational troubleshooting.
Strong experience with enterprise workflow orchestration and scheduling (AutoSys preferred), including dependency management and operational ownership.
Demonstrated experience operating and supporting production ETL/data pipelines, including incident triage, root cause analysis, and preventative improvements (on-call or operational escalation experience expected).
Ability to query and pull data from heterogeneous source systems (for example, Oracle, PostgreSQL, and MySQL) and work effectively across different SQL dialects.
Knowledge of data modeling, schema design, and data architecture best practices.
Strong understanding of data governance, security, and compliance standards.
Ability to work independently in a remote environment across different time zones and collaborate effectively across teams.
Experience with version control software such as GitLab.
Working knowledge of data wrangling and ETL tools such as Alteryx or similar; prior mastery not required.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQL ServerETL DevelopmentData ModelingPython ProgrammingData Pipeline OptimizationIncident TriageRoot Cause AnalysisData ArchitectureData Integrity ChecksScripting Technologies

Soft Skills

CollaborationMentoringProblem SolvingCommunicationIndependence