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Contract Databricks Data Engineer Jobs in Illinois

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI's potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

You'll partner with your manager and Machine Learning Engineers to architect, design and build our Databricks data platform and our Databricks MCP connector. iM Responsible For... * Using PySpark to ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Must be strong on Complex sql queries and Databricks Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based ...

Senior Data Quality Engineer

Chicago, IL · On-site

$109K - $148K/yr

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated ... in a Databricks environment. Key Responsibilities: • Build and maintain automated testing ...

Hands-on experience with data validation tools (Great Expectations, DQX - Databricks Data Quality ... Knowledge of data contracts and schema evolution strategies * Experience with test data management ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

ADF Databricks Python SQL Retail experience would be helpful, but not required Job Title: Azure Data Engineer Job Summary: We are seeking a highly skilled Azure Data Engineer to design, build, and ...

New

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Illinois? The most popular types of Databricks Data Engineer jobs in Illinois are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Illinois? For Contract Databricks Data Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Illinois look for? The top searched job categories for Contract Databricks Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Contract Databricks Data Engineer jobs? Cities in Illinois with the most Contract Databricks Data Engineer job openings:

Data Engineer (Databricks on AWS)

Optime Tech

Chicago, IL • On-site

$118K - $141K/yr

Other

Posted 2 days ago

New


Job description

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