Data Engineer

Overview

On Site
USD79 - USD80
Contract - W2

Skills

Data Engineer

Job Details

job summary:

Advanced experience in building and maintaining automated data pipelines.


Strong knowledge of ETL/ELT processes and orchestration tools (Airflow, Prefect, Dagster).





location: Roanoke, Texas

job type: Contract

salary: $79 - 80 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

  • Architect and Design scalable, secure, and high-performance data pipelines for on-prem and cloud environments.
  • Develop and Enhance automated ETL/ELT workflows leveraging modern frameworks and best practices.
  • Modernize Legacy Systems by migrating data pipelines to cloud-native solutions.
  • Implement CI/CD Pipelines for data workflows, ensuring robust version control and automated deployments.
  • Apply DevOps Practices to improve reliability, observability, and maintainability of data infrastructure.
  • Troubleshoot and Resolve Issues in data pipelines, identifying root causes and implementing permanent fixes.
  • Analyze Business Processes to identify inefficiencies and opportunities for automation and improvement.
  • Translate Business Insights into Technical Solutions by creating actionable technical plans aligned with business objectives.
  • Communicate Effectively with both technical teams and business stakeholders to ensure clarity and alignment.
  • Execute Implementation Plans with urgency, high quality, and accountability for outcomes.
  • Leverage All Available Resources proactively to deliver projects on time and within scope.
  • Optimize Performance of large-scale data processing systems and troubleshoot pipeline failures.
  • Ensure Data Quality and Governance through validation frameworks, lineage tracking, and compliance with security standards.
  • Collaborate with Cross-Functional Teams including data scientists, analysts, and business stakeholders to deliver data solutions.
  • Mentor and Guide junior engineers, promoting best practices and technical excellence.
  • Drive Innovation by evaluating emerging technologies and recommending improvements to data architecture.




qualifications:

Data Engineering Expertise




Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.


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