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Data Engineer

Eis group usa
Raleigh, NC Full Time
POSTED ON 1/28/2026 CLOSED ON 3/28/2026

What are the responsibilities and job description for the Data Engineer position at Eis group usa?

We are seeking a highly skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure in a fully remote environment. The successful candidate will support data-driven decision-making by ensuring the availability, reliability, security, and performance of data systems across the organization.This position is strictly limited to candidates who currently reside in the United States and are legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered.Key ResponsibilitiesDesign, develop, and maintain scalable data pipelines and ETL/ELT processesBuild and optimize data warehouses, data lakes, and data integration frameworksEnsure data quality, integrity, security, and governance across platformsCollaborate with data scientists, analysts, and software engineers to support analytics and reporting needsMonitor, troubleshoot, and optimize data infrastructure performanceImplement best practices for data modeling, version control, and automationSupport real-time and batch data processing solutionsMaintain technical documentation and data architecture standardsRequired QualificationsBachelors degree in Computer Science, Engineering, Information Systems, or a related fieldMinimum of 4–7 years of experience in data engineering or related rolesStrong proficiency in SQL and at least one programming language (Python, Java, or Scala)Experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery)Hands-on experience with ETL tools and workflow orchestration platformsFamiliarity with cloud platforms such as AWS, Azure, or Google CloudStrong analytical, problem-solving, and communication skillsAbility to work independently and effectively in a remote environmentPreferred QualificationsExperience with big data technologies (Spark, Kafka, Hadoop)Knowledge of data governance, security, and compliance best practicesFamiliarity with CI/CD pipelines and DevOps practicesExperience supporting machine learning or advanced analytics workloadsBenefitsComprehensive medical, dental, and vision insurance401(k) retirement plan with employer matchingPaid time off, sick leave, and paid holidaysLife, short-term, and long-term disability insuranceProfessional development, certification reimbursement, and training supportFlexible remote work arrangementsEmployee assistance and wellness programsWork Authorization & Residency RequirementMust be legally authorized to work in the United StatesMust currently reside within the United StatesApplications from candidates residing outside the U.S. will be automatically rejected

Salary : $111,300 - $133,700

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