Data Engineer (inperson interview at Denver, CO) (W2 Contract)

Hybrid in Denver, CO, US • Posted 5 days ago • Updated 1 day ago
Contract W2
24 Months
Hybrid
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • ETL
  • SQL
  • AWS
  • Apache Spark
  • EMR

Summary

Data Engineer

Denver, CO (Onsite)

Long Term Contract

In person Interview Must

We are looking for an experienced Data Engineer with strong expertise in ETL, SQL, AWS, and Apache Spark/EMR to design, develop, and optimize scalable data pipelines and data processing solutions. The ideal candidate will have hands-on experience building cloud-based data platforms and working with large-scale datasets.

Key Responsibilities

  • Design, develop, and maintain robust ETL/ELT data pipelines for large-scale data processing.
  • Develop complex and optimized SQL queries, stored procedures, and data transformations.
  • Build and optimize distributed data processing applications using Apache Spark/PySpark.
  • Develop and manage big-data workloads using AWS EMR.
  • Work with AWS data services including S3, Glue, Redshift, Lambda, and EMR.
  • Perform data extraction, transformation, cleansing, validation, and loading across multiple data sources.
  • Optimize Spark jobs, SQL queries, ETL workflows, and EMR clusters for performance and cost.
  • Implement data quality, monitoring, logging, and error-handling mechanisms.
  • Collaborate with data scientists, analysts, software engineers, and business stakeholders.
  • Troubleshoot data pipeline failures and production issues.
  • Participate in architecture discussions and contribute to scalable cloud data solutions.

Required Skills

  • 5+ years of experience in Data Engineering or related roles.
  • Strong hands-on experience with ETL/ELT development.
  • Advanced SQL skills.
  • Strong experience with AWS cloud services.
  • Hands-on experience with Apache Spark / PySpark.
  • Strong experience working with AWS EMR.
  • Experience with AWS S3, Glue, and Redshift.
  • Strong programming experience in Python or Scala.
  • Experience working with large datasets and distributed data processing.
  • Understanding of data warehousing and data modeling concepts.
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: 91162806
  • Position Id: 9086936
  • Posted 5 days ago

Company Info

About HPTech Inc.

HPTech Inc has grown to become a premier provider of IT consulting services for technology. With a specialized niche in transaction and data warehousing applications, HPTech Inc helps clients implement mission-critical, enterprise solutions, speed conversion from legacy environments, and optimize the benefits inherent in their systems. Our consulting solutions range from project strategy and planning, software assessment and selection, to implementation and integration, hosting and change management, support and maintenance translating to higher productivity, lower costs.

Contact the job poster
RK

Ravi Koleru

Recruiter @ HPTech Inc.
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