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Contract Databricks Data Engineer Jobs in Illinois

Data Engineer II

Chicago, IL

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

Senior Data Engineer

Chicago, IL · On-site

$148K - $164K/yr

Build E2E Azure Databricks-based data solutions. Design, develop, and maintain scalable ETL and ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related field A minimum of 5 ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

SnowProcore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

Data Engineer II

Chicago, IL

$117K - $141K/yr

You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python ... This position is ideal for an engineer who enjoys solving complex data challenges, building ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability ...

Data Engineer

Peoria, IL · On-site

$112K - $135K/yr

We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines ... Experience with Databricks. * Experience with Apache Kafka. * Hands-on experience with Apache ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Azure Data Engineer

Chicago, IL · On-site

$56.75 - $70.25/hr

Azure Data engineer: Min. 10+ years of experience with good work experience in Banking domainStrong experience in Azure Databricks| ADLS| Synapse and Azure Data FactoryExperience in creating data ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... Databricks, Snowflake, and similar modern cloud data platforms. • Define and build scalable ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... HDFS, Databricks, Iceberg, etc) * Experience with Apache Spark, Apache Flink or similar tools

Senior Data Engineer

Springfield, IL · Remote

$105K - $142K/yr

Senior Data Engineer (ETL / Python Developer) Remote (Must reside within the Continental U.S.) No ... Build scalable data pipelines using Python, Spark, and Databricks * Develop and optimize complex ...

Showing results 41-60

Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

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 skills and qualifications are needed to thrive as a contract Databricks data engineer?

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 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.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

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:

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


IGT rating

7.6

Company rating: 7.6 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

249th of 491 rated machine equipment manufacturers


Job description

IGT, where innovation meets entertainment on a global scale!  From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable gaming experiences-powered by worldclass content, strong technical and commercial capabilities and nurtured by a culture of collaboration, accountability, and ownership.

 

Whether it's spinning reels, placing bets, or enabling secure payments, we turn innovation into impact through disciplined execution and longterm value creation. With a team of over 6,000 employees across 30+ countries and products delivered in more than 100 jurisdictions worldwide, we operate at scale while staying closely connected to costumers we serve. If you're ready to bring your talent to a team shaping the future of entertainment, your next big move starts here - www.igt.com.

About the Role

We are seeking a Data Engineer II to join our Global Data Platform & Engineering team. In this role, you will help build and maintain scalable, cloud-native data solutions that power enterprise analytics, reporting, and emerging AI initiatives.


You will work with modern data technologies including Databricks, Apache Spark, Delta Lake, Python, SQL, and AWS to develop reliable data pipelines and curated datasets. Working closely with business stakeholders, analytics teams, and fellow engineers, you'll transform business requirements into high-quality, production-ready data solutions.
This position is ideal for an engineer who enjoys solving complex data challenges, building scalable solutions, and continuously learning new technologies.

What You'll Do
  • Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python. 
  • Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases. 
  • Develop data transformations using Delta Lake and Lakehouse architecture best practices. 
  • Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources. 
  • Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions. 
  • Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance. 
  • Participate in migrating and modernizing legacy data processes to cloud-native architectures. 
  • Improve data quality through validation, testing, monitoring, and automation. 
  • Contribute to engineering best practices through code reviews, documentation, and knowledge sharing. 
  • Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 
  • 3+ years of experience in Data Engineering or a related technical role. 
  • Strong SQL development skills. 
  • Strong Python programming experience. 
  • Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms). 
  • Experience developing modern ETL/ELT pipelines. 
  • Understanding of data modeling and data warehousing concepts. 
  • Experience working with cloud-based data platforms, preferably AWS. 
  • Familiarity with Delta Lake or similar modern data storage technologies. 
  • Experience using Git and collaborative software development practices. 
  • Strong analytical, troubleshooting, and problem-solving skills. 
  • Excellent communication and collaboration skills.
Preferred Qualifications
  • Experience with AWS data services such as Amazon S3, Lambda, or related technologies.
  • Experience working with Databricks on AWS.
  • Experience with Delta Lake and Medallion/Lakehouse architecture.
  • Experience with orchestration tools such as Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms. 
  • Experience consuming and developing REST APIs. 
  • Experience working with semi-structured data, including JSON and Excel-based data ingestion. 
  • Familiarity with CI/CD practices for data engineering. 
  • Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications. 
  • Experience working in gaming, hospitality, financial services, or other data-intensive industries.
Technical Environment

You'll work with technologies including: 

  • Databricks (AWS) 
  • Apache Spark 
  • Delta Lake 
  • Python 
  • SQL 
  • Amazon S3 
  • Git 
  • REST APIs 
  • CI/CD pipelines
What Makes You Successful
  • You enjoy solving complex technical problems and continuously improving existing solutions. 
  • You can work independently while collaborating effectively with cross-functional teams. 
  • You write clean, maintainable, and well-tested code. 
  • You take ownership of your work from development through production support. 
  • You have a growth mindset and enjoy learning new technologies. 
  • You communicate technical concepts clearly with both technical and non-technical audiences.

#LI-CK1

IGT is committed to sustaining a workforce that reflects the diversity of the global customers and communities we serve and to fostering an inclusive environment where all employees feel valued, respected, and engaged. IGT is an equal opportunity employer and provides equal employment opportunities without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We thank all applicants for their for applying; however, only those selected to interview will be contacted. 

At IGT, we consider a wide range of factors in determining compensation, including skills, experience, education, and geographic location. These factors may result in variation in starting pay. The estimated compensation for this role is up to $104,000 USD, based on a good-faith assessment at the time of posting. Actual compensation may vary. IGT complies with all applicable pay transparency and compensation laws and collective bargaining agreements, where applicable. 
Base pay is one component of IGT's total rewards program. Depending on the role, employees may be eligible for bonus or commission opportunities. IGT also offers a comprehensive benefits package, which may include a 401(k) savings plan with company contributions, medical, dental, and vision insurance, life and disability coverage, paid time off, tuition reimbursement, and other wellness programs, subject to eligibility requirements. 

IGT is the global leader in gaming. For more information, please visit www.igt.com.


What IGT employees say

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Benefits

Hours and flexibility

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About IGT

Sourced by ZipRecruiter

IGTis a global leader in gaming. We deliver entertaining and responsible gaming experiences for players across all channels and regulated segments, from Lotteries and Gaming Machines to Sports Betting and Digital. Leveraging a wealth of compelling content, substantial investment in innovation, player insights, operational expertise, and leading-edge technology, our solutions deliver unrivaled gaming experiences that engage players and drive growth. We have a well-established local presence and relationships with governments and regulators in more than 100 countries around the world, and create value by adhering to the highest standards of service, integrity, and responsibility.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

London, Greater London, GB

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