Data Engineer (Databricks on AWS)

Hybrid in Chicago, IL, US • Posted 6 hours ago • Updated 5 hours ago
Contract W2
6 Months
No Travel Required
Hybrid
$70 - $75/hr
Fitment

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Job Details

Skills

  • Databricks
  • Data Engineering
  • Data Processing
  • Data Integration
  • Extract, Transform, Load
  • Amazon Web Services
  • Cloud Computing
  • Amazon S3
  • Data Engineer
  • Senior Data Engineer
  • AWS
  • Apache Spark
  • PySpark
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables
  • DLT
  • Databricks SQL
  • SQL
  • Python
  • ETL
  • ELT
  • AWS S3
  • IAM
  • Redshift
  • AWS Glue
  • EMR
  • Airflow
  • Workflow Orchestration
  • CI/CD
  • DevOps
  • Terraform
  • Lakehouse
  • Medallion Architecture
  • Data Modeling
  • Distributed Processing
  • Cloud Data Engineering
  • Big Data
  • Agile.

Summary

Data Engineer (Databricks on AWS)

Location: Chicago, IL (Local Candidates Only)

Work Arrangement: Mostly Remote (Must be available for an onsite interview and occasional meetings in Downtown Chicago)

Duration: 6-Month Contract-to-Hire

Employment Type: W2 Opportunity Only (No C2C / No 1099)

Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.

 

Job Summary

We are seeking an experienced Data Engineer with strong expertise in Databricks on AWS to design, build, and optimize enterprise-scale data engineering solutions. The ideal candidate will have extensive experience developing scalable data pipelines, implementing modern cloud-based data architectures, and working with large-scale distributed data processing technologies.

Candidates must already be local to the Chicago, IL area, as the role requires availability for an onsite interview and occasional meetings in Downtown Chicago.

 

Required Qualifications

  • 10+ years of IT experience with a strong Data Engineering background.
  • 4–6+ years of recent hands-on experience designing, building, and scaling enterprise data pipelines.
  • Strong hands-on experience with Databricks, including:
    • Apache Spark
    • Delta Lake
    • Unity Catalog
  • Strong experience with AWS services, including:
    • Amazon S3
    • IAM
    • AWS Networking
  • Strong proficiency in:
    • SQL
    • Python
    • Data Modeling
    • Distributed Processing
  • Experience building modern cloud-based Data Engineering solutions.
  • Strong experience developing ETL pipelines and enterprise data integration solutions.
  • Experience working in Agile development environments.
  • Excellent communication and stakeholder management skills.

Preferred Qualifications

  • Delta Live Tables (DLT)
  • Databricks SQL
  • Workflow Orchestration
  • Apache Airflow
  • CI/CD
  • DevOps
  • Terraform
  • Lakehouse Architecture
  • Medallion Architecture (Bronze, Silver, Gold)

Additional Information

  • Local candidates to the Chicago, IL area only.
  • Must be available for an onsite interview in Downtown Chicago.
  • This is a W2 Contract-to-Hire opportunity
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: 10194144
  • Position Id: 9023879
  • Posted 6 hours ago
Contact the job poster
Naveen Shan

Naveen Shan

Recruiter @ Optime Tech
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