This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

Curious how your expertise in data engineering could drive impactful solutions across reporting, analytics, and data science? As a Data Engineer IV at Spectrum, you will play a pivotal role in building reliable data systems and automating pipelines that support strategic decision-making. Collaborate with stakeholders, optimize data processes, and deliver scalable solutions that enable the organization to thrive through actionable insights. Your contributions will directly elevate Spectrum’s data-driven capabilities. 

How You’ll Make an Impact 

Design and maintain scalable systems that support data operations for reporting, analytics, applications, and data science Gather and process raw data at scale using scripts, web scraping, APIs, SQL queries, applying ETL methods to clean and enhance datasets Assess data quality, integrity, accuracy, and completeness through profiling techniques  Develop and implement tools, scripts, queries, and applications for ETL/ELT and data operations Design, build, and automate Machine Learning Data Pipeline Deliver solutions by coding, developing, and testing scripts, ensuring timely delivery and reporting  Manage life cycle of multiple data sources, collaborating with analysts and data scientists to meet data needs  Accelerate project delivery by automating workload and workflow  

Working Conditions 

Office environment Travel as required 

What You’ll Bring to Spectrum 

Required Qualifications 

Education 

Bachelor's degree in an Engineering discipline or Computer Science 

Experience 

5+ years of hands-on working experience with RDBMS, SQL, scripting, and coding 3+ years of Linux/Unix/CentOS system admin 

Skills 

Ability to read, write, speak and understand English  Ability to use a wide variety of open-source technologies and cloud services and  identify and resolve end-to-end performance, network, server, and platform issues Extensive coding/scripting experience using Python, R, shell scripts  Extensive experience with Spark, Hadoop/Hive, SQL, Tableau, ML Pipeline techniques, and ETL techniques  Extensive background in Linux/Unix/CentOS installation and administration; Windows experience preferred  Extensive knowledge in data storage that demonstrates knowledge of when to use a file system, relational database, or NoSQL variant  Extensive familiarity with JavaScript API, Rest API or Data Extract APIs  Extensive experience receiving, converting, and cleansing big data and with data virtualization concepts, and software (Denodo, Teiid, Jboss), visualization or BI tools, such as Tableau, and data workflow/data prep platforms, such as Infomatica, Pentaho, or Talend Effective attention to detail with the ability to effectively prioritize and execute multiple tasks 

Preferred Qualifications 

Experience 

Leadership experience in advanced operational analytics 

Skills 

Extensive experience with Python, JSON, Rest API or Data Extract APIs, data workflow/data prep platforms such as NiFi, Knime, or TalendExpert knowledge of best practices and IT operations in an always-up, always-available service Experience with Cloud platforms and Cloud services such as AWS (S3, Glue, EMR, Redshift, Athena)Experience with process-scheduling/orchestration products such as Apache Airflow, AWS Data Pipelines, or Azure Data FactoryExtensive experience with data virtualization concepts, and software (Denodo, Tibco, PolyBase) and experience with visualization or BI tools, such as Tableau and Power BIExtensive experience receiving, converting, and cleansing big dataExtensive knowledge of best practices and IT operations in an always-up, always-available service Ability to create proof of concept experiments for analytics, machine learning, or visualization tools that include hypothesis, test plans, and outcome analysis
EGN319 2025-62545 2025

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A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances.


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Grow Your Career Here We’re committed to growing a workforce that reflects the customers and communities we serve – providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. Learn about Life at Spectrum.