Data Engineer IV

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 Talend Expert 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 Factory Extensive experience with data virtualization concepts, and software (Denodo, Tibco, PolyBase) and experience with visualization or BI tools, such as Tableau and Power BI Extensive experience receiving, converting, and cleansing big data Extensive 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 We offer a comprehensive pay and benefits package that rewards employees for their contributions to our success, supports all aspects of their well-being, and delivers real value at every stage of life. A qualified applicant’s criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. We’re committed to growing a workforce that reflects our communities, and providing equal opportunities for employment and advancement. EOE, including disability/vets.

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