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Data Engineer
Marietta, GA
Pay : $80.00 - $110.00 per hour
26-02656
Job Summary
The Data Engineer is responsible for designing, developing, and maintaining scalable data solutions across the full data lifecycle. This role supports enterprise data and analytics initiatives by building and optimizing data pipelines, enabling data integration, and delivering high-quality data for business insights. The position requires strong technical expertise across data engineering, analytics, and cloud technologies, along with the ability to work in a fast-paced, agile environment. This is a fully remote role. Job Responsibilities
Design, develop, and maintain end-to-end data pipelines to support analytics and business intelligence initiatives.
Collect, process, clean, and transform structured and unstructured data for analysis at scale.
Collaborate with cross-functional teams to design and implement data warehouse and analytics solutions.
Develop and optimize data models to support reporting and advanced analytics use cases.
Ensure data quality, integrity, security, and accessibility across systems.
Build and support data integration solutions across enterprise platforms and emerging technologies.
Automate data workflows and processes using modern engineering practices and tools.
Participate in agile development processes, including sprint planning and release cycles.
Monitor and troubleshoot data pipelines and systems to ensure performance and reliability.
Apply data governance principles and support compliance with organizational standards.
Job Requirements
U.S. Citizenship required.
Strong experience with SAP HANA development, including calculation views, SQL scripting, and performance optimization.
Experience working with relational and NoSQL databases in both on-premise and cloud environments.
Experience with ETL tools such as SAP Data Services, Informatica, Tableau Prep, Alteryx, or similar platforms.
Experience building and automating data pipelines using version control tools such as Git.
Experience working with enterprise systems such as ERP, MES, or PLM platforms.
Proficiency in SQL and strong debugging skills.
Experience with programming languages such as Python or Java.
Familiarity with cloud and container technologies, including AWS or similar platforms.
Understanding of data governance and data management best practices.
Strong analytical, problem-solving, and organizational skills.
Ability to work independently and manage multiple priorities in a remote environment.
Strong written and verbal communication skills.
Work Experience
Experience working in data engineering or data architecture roles delivering end-to-end data solutions.
Experience working in agile environments using methodologies such as Scrum, SAFe, or Kanban.
Experience collaborating with distributed teams across multiple locations preferred.
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Equiliem
Mar 18, 2026