Data Engineer II

Job Description: At Sparklight/Cableone and our family of brands, we keep our customers and associates connected to what matters most. For our associates, that means: a thriving and rewarding career, respect for the communities where they live and work, a focus on health and wellness, an excellent work/life balance, and an open and inclusive workplace. The Data Engineer II designs, builds, and maintains data pipelines and infrastructure that bring data from diverse source systems into a governed, reliable, and scalable data platform. They work across the full ingestion-to-curation lifecycle — onboarding new data sources, improving pipeline architecture, monitoring data delivery, and curating data into trusted silver and gold layer objects that the business can act on. Strong candidates bring hands-on proficiency in SQL, a general-purpose programming language (Python preferred), and working knowledge of cloud infrastructure — including compute, storage, networking, and security. The role requires engineers who approach problems methodically, communicate clearly through the full lifecycle of an issue, and treat every failure or inefficiency as an opportunity to improve the systems they own. We are open to hiring remote if we find the right talent in any of the following states: AL, AR, AZ, FL, GA, IA, ID, IL, IN, KS, LA, MD, MO, MS, NC, ND, NE, NM, NV, OR, OK, PA, SC, SD, TN, TX, UT. What you will do to contribute to the company's success Designs and develops moderately complex queries, objects, ETL packages, reporting structures, and other objects necessary to support detailed analysis and self-service reporting needs. Collaborates with analytics and business teams to create and improve data models that feed BI tools, increasing data accessibility, and fostering data-driven decision making across the organization. Takes ownership of the health, reliability, and security of the data platform by designing and implementing processes and solutions that proactively monitor data delivery across the full pipeline — ensuring data is accurate, complete, consistent, and timely from source ingestion through gold layer curation. Investigates, diagnoses, and resolves complex data pipeline failures across all system layers; uses findings to drive pipeline improvements and communicates status, root cause, and resolution clearly to the team throughout the full lifecycle of an incident. Assists with the development and delivery of data solutions, including data pipelines, API integration, and other structures and processes to support the data platform Identifies, designs, and implements internal process improvements, including the automation of manual processes, optimization of data delivery, and refactoring of code for improved performance Builds pipelines to enable the optimal extraction, transformation, and loading of data from a wide variety of data sources Provides strategic assistance to BI leadership and the BI team by making recommendations in the areas of data management and best practices Collaborates with developers, database administrators, data architects, and others on reporting and data management projects as needed Takes on other duties needed to help drive our Purpose, fulfill our Brand Principles, and abide by our Organization’s Values Qualifications Bachelor’s degree (B.S.) in Science, Technology, Engineering, or Mathematics, or equivalent practical experience 5+ years of equivalent experience can substitute for education. Demonstrated programming experience with SQL(ANSI-SQL) Proven demonstration of exemplary ability to complete the functions of a Data Engineer I or similar position Professional experience working in cloud data ecosystems, preferably Azure Data warehouse experience, includingER modelingand multi-dimensional modeling ETL, Extract-Load-Transform (ELT), and/or data pipeline development experience Experience with DevOpsprinciples and platforms(Azure DevOps, GitHub, etc.). Experience with migrating data from on-premise to cloud Experience working in an Agile / Scrum work environment Skills Knowledge of Microsoft Azure data related services such as Data Lake, Data Factory, Databricks,andDelta Lake Knowledge of data governance, data quality analysis and/or master data management Domain knowledge of broadband or telecommunications industry Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams Strong organizational and multitasking skills with ability to balance competing priorities Intermediate understanding of database management systems (DBMS) such as Microsoft SQL Server Foundational understanding of data modeling and warehousing concepts, including dimensional modeling patterns, slowly changing dimensions (Type 1, Type 2), and their practical application in a medallion lakehouse architecture. Ability to work, focus, and be productive in a virtual, remote, and on-premise environment Intermediate kn