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# Senior Data Engineer

- **Company:** Ziply Fiber
- **Location:** Kirkland, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $114,700.0 - $154,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Data Analysis, Confluence, JIRA, CA Workload Automation Ae, Microsoft Azure, Big Data, Databases, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Linux, DevOps, PostgreSQL, Microsoft SQL Server, SQL Azure, MySQL, Operational Databases, Oracle (Applications), SQL Stored Procedures, SQL Databases, Data Streaming, Transact-SQL, Unstructured Data, Workflow Management Systems, Data Processing, Scripting, Azure Data Factory, Snowflake, Software Troubleshooting, Backend, Gitlab, Build Management, Information Technology, Azure Synapse Analytics, Software Version Control, Data Pipelines, Alteryx
- **Published:** July 12, 2026
- **Apply:** https://www.careerjet.com/job/us6c35f6d1efa1abca0af065625fab6e95/eaa

## About the Role

· 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.
Preferred Qualifications:
· Proven aptitude for independently managing complex procedures, even when encountered infrequently.
· Proactive approach to learning and optimizing operational workflows.
· Familiarity with DevOps practices and CI/CD pipelines for data engineering, including Azure DevOps.
· Proficient in designing, writing, and maintaining complex stored procedures and stored procedure-based ETL workflows for robust data processing.
· Comfortable working in complex ecosystems with heterogeneous data sources and diverse end-user requirements, adapting solutions to fit unique contexts.
· Experience building or operating data pipelines that handle regulated or sensitive data and partnering with Security/Privacy/Compliance teams to meet applicable requirements (for example, GDPR, CCPA/CPRA, FCC CPNI, or incident reporting obligations).
· Working knowledge of data wrangling and ETL tools such as Alteryx or similar.
Knowledge, Skills, and Abilities:

 * Strong problem-solving and analytical skills.

 * Ability to manage multiple priorities and work in a fast-paced environment.

 * Excellent verbal and written communication skills.

 * Ability to translate business requirements into scalable technical solutions.

 * Strong attention to detail and a commitment to data quality.

 * Ability to work with Agile methodologies and tools such as Jira, Confluence, and Azure DevOps.

 * Strong collaboration skills with cross-functional teams including product managers, software engineers, and business analysts.

## Description

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., 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
· 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.
Data Pipeline Engineering & Automation
· 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.
Data Infrastructure, Modeling & Governance
· 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.
Cross-Functional Collaboration, Leadership & Documentation
· 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.
Other Duties
· Performs other duties as required to support the business and evolving organization., Applicants must be currently authorized to work in the US for any employer. Sponsorship is not available for this position.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking, or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Work Environment
Work is performed in an office setting with exposure to computer screens and requires extensive use of a computer, keyboard, mouse, and multi-line telephone system. The work is primarily a modern office setting.
At all times, Ziply Fiber must be your primary employer. Unless otherwise prohibited by law, employees may not hold outside employment nor be self-employed without obtaining approval in writing from Ziply Fiber. In holding outside employment or self-employment, employees should ensure that participation does not conflict with responsibilities to Ziply Fiber or its business interests.
Diverse Workforce / EEO:
Ziply Fiber is an equal opportunity employer. Ziply Fiber will consider all qualified candidates regardless of race, color, religion, national origin, gender, age, marital status, sexual orientation, veteran status, and the presence of a non-job-related handicap or disability or any other legally protected status.
Ziply Fiber requires a pre-employment background check as conditions of employment. Ziply Fiber may require a pre-employment drug screening.
Ziply Fiber is a drug free workplace., A Senior Full Stack Engineer is needed to design and build the backend services and patient-facing applications that power an EHR-integrated care platform. This role involves worki…

 + 11 days ago
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