Senior Data Engineer

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🔥 0 minutes ago

☕ Washington – Remote

☕ Washington – Remote

💵 $114.7k - $154.2k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Ziply Fiber

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2020

📡 Telecommunications

👥 B2C

💰 Corporate Round on 2022-11

Telecommunications • Internet Services • B2C

Ziply Fiber is a leading provider of fiber-optic internet services in the Pacific Northwest, offering high-speed internet plans that cater to both residential and business customers. With a focus on transparency and customer satisfaction, Ziply Fiber provides no annual contracts, no data caps, and a variety of multi-gig internet options designed for modern households and businesses. Their services include whole home WiFi, streaming TV, and phone services, making them a one-stop solution for connectivity needs.

📋 Description

• 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

• 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

• 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