Senior Data Engineer

denver, CO, US • Posted 1 day ago • Updated 47 minutes ago
Contract W2
6 Months
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Karpenter EKS/GKE/AKS Istio Cilium KEDA Argo Rollouts ArgoCD Flux Tekton Crossplane Cluster API Helm/Kustomize

Summary

Job Overview:
We are seeking a Spark/SQL ETL Data Engineer with strong expertise in designing, developing, and optimizing scalable data integration and transformation solutions. The ideal candidate will have hands-on experience with Apache Spark, SQL, Databases, and modern data engineering practices to support enterprise data pipelines and analytics initiatives.

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Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL
  • Build and optimize batch and near real-time data processing workflows across large-scale datasets
  • Develop data ingestion, transformation, and data quality frameworks for enterprise data platforms
  • Work with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processing
  • Perform data modeling, query tuning, and performance optimization for large datasets
  • Integrate data from multiple source systems, databases, and external platforms
  • Implement data validation, monitoring, and troubleshooting processes to ensure data integrity
  • Collaborate with business analysts, architects, and cross-functional teams to deliver data-driven solutions
  • Support data governance, security, and compliance requirements across the data ecosystem

Required Skills

  • Strong proficiency in Apache Spark (PySpark) and SQL
  • Extensive experience developing and optimizing ETL/ELT pipelines
  • Strong understanding of distributed data processing concepts and Spark architecture
  • Experience working with relational and non-relational databases
  • Proficiency in data modeling, performance tuning, and query optimization
  • Experience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar)
  • Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud
  • Strong problem-solving, analytical, and troubleshooting skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10271481
  • Position Id: 2026-16228
  • Posted 1 day ago
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