Data Engineer II

Cable ONE

Data Engineer II designing and maintaining data pipelines for Sparklight. Collaborating across functions to ensure data reliability and accessibility within the organization.

Posted 6/30/2026full-timeRemote • Alabama, Arizona, Florida, Idaho, Illinois, Iowa, Kansas, Louisiana, Maryland, Mississippi, Montana, Nevada, New Mexico, New York, North Carolina, North Dakota, Oklahoma, Oregon, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLMS SQL ServerPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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, including ER modeling and multi-dimensional modeling
ETL, Extract-Load-Transform (ELT), and/or data pipeline development experience
Experience with DevOps principles and platforms ( Azure DevOps, GitHub , etc.).
Experience with migrating data from on-premise to cloud
Experience working in an Agile / Scrum work environment
Knowledge of Microsoft Azure data related services such as Data Lake, Data Factory, Databricks, and Delta 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 knowledge of BI best practices and recommendations for an advanced analytics data ecosystem, including data visualization, data analysis, data integration, and data modeling
Familiarity with programming languages such as C#, Python, or similar object-oriented languages
Ability to orchestrate using automation tools such as PowerShell scripts and bash commands
Understanding of cloud engineering principles, and data architecture design patterns such as Medallion, Kappa, Mesh, etc.
Ability to solve complex problems using a sequential system
Ability to assess circumstances using experience and a variety of information gathered

Benefits

Comp & perks

Medical, dental, and vision plans – start when you start!
Life insurance (self, spouse, children)
Paid time off (vacation, holiday, and personal/sick days)
401(k) - 100% company match starts day 1 of employment (up to 5% of eligible compensation)
Group Legal plan with Identity Theft Protection
Additional Perks
Tuition reimbursement (up to $5,250 on 1st year)
Annual community support to various organizations across the U.S.
Associate recognition & awards programs
Advancement opportunities
Collaborative work environment
FREE Cable One services for associates who live in a serviceable area
Remote Access to select premium channels (Cable One, Sparklight, Cable America and ValueNet Fiber Only)

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data Pipeline DevelopmentData ModelingData Quality AnalysisDimensional ModelingCloud MigrationAutomation ToolsDatabase Management SystemsData IntegrationData VisualizationProgramming Languages

Soft Skills

Excellent CommunicationStrong Organizational SkillsInterpersonal SkillsProblem-Solving SkillsMultitasking Ability