1

Contract Databricks Developer Jobs in Orland Park, IL

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Contract-to-Hire Pay: $75.00 - $85.00 / Per Hour | $130,000 - $150,000 / Annually + Bonus upon ... Build cloud-based data solutions utilizing Databricks and AWS technologies. * Create reliable, high ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Define data handling standards and document trust boundaries, data contracts, lineage, and ... Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Define data handling standards and document trust boundaries, data contracts, lineage, and ... Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms ...

Senior Data Engineer

Chicago, IL · On-site

$70 - $80/hr

Document trust boundaries, data contracts, lineage, and permitted data movement. * Support audits ... Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.

Sr. Big Data Engineer

Chicago, IL · On-site

$84 - $94/hr

Document trust boundaries, data contracts, lineage, and permitted data movement between zones ... Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.

Chicago, IL.- Day 1 onsite Duration: Long term contract * We are seeking an AI Architect with ... Proficiency in relevant technologies and languages such as Databricks, Azure data services, Oracle ...

next page

Showing results 1-20

Contract Databricks Developer information

See Orland Park, IL salary details

$20

$61

$78

How much do contract databricks developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for contract databricks developer in Orland Park, IL is $61.00, according to ZipRecruiter salary data. Most workers in this role earn between $54.86 and $67.50 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What job categories do people searching Contract Databricks Developer jobs in Orland Park, IL look for?

The top searched job categories for Contract Databricks Developer jobs in Orland Park, IL are:

What cities near Orland Park, IL are hiring for Contract Databricks Developer jobs?

Cities near Orland Park, IL with the most Contract Databricks Developer job openings:

Quantitative Developer___ Chicago, IL (Onsite) ___ Contract

Chicago, IL • On-site

Acestack
Recruiting and Staffing Services • 51 - 200 employees

Contractor

Re-posted 29 days ago


Job description

Job Title: Quantitative Developer
Location: Chicago, IL – 100% Onsite from day 1.
Long Term Contract – W2 / C2C

Job Summary: We are seeking a highly experienced and adaptable Quantitative Developer to join our team in Chicago. This role requires a unique blend of strong quantitative and technical skills, deep financial domain knowledge, and a proactive learning attitude. You will collaborate closely with quantitative researchers, risk managers, and portfolio management teams to design, develop, and optimize analytical tools and models in a high-performance computing environment.

 Key Responsibilities
  • Design and implement production-grade code that translates quantitative models into efficient and scalable solutions.
  • Work closely with Quantitative Research, Risk, and Equity Portfolio Management teams to support model development and risk analytics.
  • Contribute across the software development lifecycle including requirements analysis, coding, testing, and deployment.
  • Build solutions using a wide array of technologies including Python, PySpark, R, Java, and cloud-based big data platforms like Databricks.
  • Develop in both real-time and batch-oriented architectures.
  • Employ Test-Driven Development (TDD) to ensure code quality, scalability, and maintainability.
  • Continuously explore and integrate modern technologies and industry best practices into development processes.
  • Communicate complex quantitative and technical concepts effectively to non-technical stakeholders.
Required Qualifications
  • Education: Master’s or Ph.D. in Computer Science, Mathematics, Financial Engineering, or a related quantitative field from a reputed institution.
  • Experience:
    • Overall 12+ years of IT experience.
    • Must have at least 5-8+ years of progressive experience in software engineering and quantitative development.
  • Technical Skills:
    • Proficiency in Python and PySpark (must-have), with hands-on experience in R and Java.
    • Strong experience with data processing libraries such as Pandas, Polars, CuML, etc.
    • Familiarity with cloud big data platforms, particularly Databricks.
    • Experience working with large datasets and building scalable data pipelines.
  • Domain Knowledge: Solid understanding of financial instruments including securities and derivatives, along with capital markets structure.
  • Development Practices: Strong commitment to clean code, adaptive systems, and iterative design using TDD methodologies.
  • Soft Skills:
    • Quick to learn new technologies and quantitative methods.
    • Able to explain technical strategies and solutions to both technical and business audiences.
Preferred Attributes
  • Exposure to quantitative research and alpha modeling.
  • Experience building risk engines or simulation frameworks.
  • Familiarity with orchestration frameworks like Airflow or equivalent.
  • Ability to work in a fast-paced, collaborative environment with minimal supervision.

To Apply: Please share resume to Anamikav@acestackllc.com


AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

NJ, US

Social media