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Data Engineer
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
5years
Experience Required:
Posted:
13 August 2026 (30+ days ago)
Posted:
Application Deadline:
10 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Engineer PySpark Databricks & AWS Redshift
Location: Chicago IL (locals Only)
Employment Type: W2 Contract
Job Description
We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark Databricks and AWS Redshift to join our data engineering team. The ideal candidate will have a solid background in designing building and optimizing scalable data pipelines and data processing solutions in cloud-based environments.
Requirements
Required Qualifications
Atleast 7 plus years of Strong professional experience as a Data Engineer working with large-scale data platforms.
Extensive hands-on experience with PySpark.
Strong experience with Databricks including developing and optimizing production data pipelines.
Strong hands-on experience with AWS Redshift.
Proficiency in Python and SQL.
Experience building and maintaining ETL/ELT pipelines and data processing workflows.
Strong understanding of data warehousing data modeling and distributed data processing concepts.
Experience working with cloud-based data platforms preferably AWS.
Strong troubleshooting performance-tuning and problem-solving skills.
Prior experience within e-commerce airlines transportation or logistics environments is highly desirable.
Required Skills:
We are seeking an experienced Data Engineer with strong hands-on expertise in PySpark Databricks and AWS Redshift to join our data engineering team. The ideal candidate will have a solid background in designing building and optimizing scalable data pipelines and data processing solutions in cloud-based environments.
