Data Developer IV

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

Are you ready to dive into the exciting world of data services implementation and take charge of modifying and enhancing data architecture and automation? As a Data Developer IV at Spectrum, you will leverage your expertise to plan and execute transformative data solutions to drive innovation and efficiency in the organization.

BE PART OF THE CONNECTION

• Implement data services, structure / models and movement infrastructures
• Provide and implement preventative solutions and troubleshoot data job failures, such as error handling, data manipulation and I / O processing
• Implement database concepts and practices, including definition and query language
• Modify, enhance, and influence requirements and architecture specifications of data warehousing systems and / or processing infrastructure
• Collaborate with stakeholders to design, implement, and support end-to-end data solutions across multiple platforms, environments, domains, and locations
• Work closely with internal staff, vendors, consultants, and external partners to quickly identify and resolve data integration issues
• Independently develop reporting processes, programs, and solutions following established standards

Working Conditions

What You’ll Bring to Spectrum

Required Qualifications

Bachelor's degree in computer science, statistics, operations research and / or equivalent combination of education and experience

2+ years of ETL experience 2+ years of experience with SQL, Shell Script, Python, JSON 2+ years of data integration experience 2+ years of data visualization experience 2+ years of data / software engineering experience

Ability to perform in-depth and independent research and analysis with some oversight from the manager Intermediate knowledge of SQL and Python (YAML – if applicable) Intermediate knowledge of Data Tools including querying, scripting, analysis, ETL, and command line interfaces Intermediate knowledge of cloud-based infrastructures and services relevant to data processing, data automation and data platform / processing troubleshooting Knowledge of Spectrum’s product data sources and data pipelines Ability to apply appropriate level of data maintenance, data quality control and validation of code, tools, and models as directed Intermediate knowledge of reporting Development and visualization design Experience with building use cases and providing development support to data scientists and data engineers Experience with data lake – all data sources - building out data sets for use cases Experience with building SQL databases and tables and querying and designing efficient warehousing structures

SPECTRUM CONNECTS YOU TO MORE