Sr Data Engineer Hybrid - US

Sr Data Engineer

Full Time • Hybrid - US
Replies within 24 hours
Benefits:
  • Hybrid
  • Long Term
  • Opportunity for advancement
Senior Data Engineer
Location: Dallas, TX (Hybrid—3 days onsite)
Duration: Long-term Project | Interview: In-person

Join our growing data team working on exciting cloud migration and real-time data solutions. We’re looking for a hands-on Data Engineer who can build strong pipelines, work with cloud tools, and help us manage and process data at scale.

Roles and Responsibilities:

  • Migrate data from On-prem  to AWS Redshift with zero data loss.
  • Build batch and real-time data pipelines using Python .
  • Set up and manage Kafka on AWS for streaming data.
  • Automate ETL workflows using AWS Glue and store data in S3.
  • Design data solutions in Redshift for fast querying.
  • Create reusable frameworks to reduce development time and improve code.
  • Build dashboards and reports for client data insights.
  • Use GitLab CI/CD for testing and deployments.
  • Work with AWS tools like Lambda, SQS, SNS, Glue, DynamoDB, OpenSearch, and more.
  • Develop tools to generate mock data (JSON, CSV, XML).
  • Deploy containerized apps using Kubernetes.
  • Follow best practices to ensure data security and compliance.

Qualifications:

  • Strong experience in Python and cloud technologies - AWS.
  • Good understanding of Kafka, ETL, and data warehouses.
  • Familiarity with CI/CD, boto3, and Kubernetes is a big plus.

Flexible work from home options available.

Compensation: $55.00 - $65.00 per hour




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