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Java Data Engineer Jobs in Oakbrook Terrace, IL (NOW HIRING)

Ulta Beauty

Senior Data Engineer

Bolingbrook, IL · On-site

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems. * Experience in ...

Ulta Beauty, Inc.

Senior Data Engineer

Bolingbrook, IL · On-site

$102K - $140K/yr

The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ... Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems. * Experience in ...

Kemper

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Provide technical leadership to data engineers, setting standards for solution design, coding ... Snowpark (Python/Java/Scala) * Snowflake Warehouses, Databases, Schemas, RBAC * Snowpipe, Tasks ...

Fitch Group

Lead Data Engineer, Associate Director

Chicago, IL · On-site

$118K - $141K/yr

Fitch Group is currently seeking a Associate Director/Lead Data Engineer based out of our Chicago ... You possess expert-level proficiency in Python and Java for building cloud-native data processing ...

CNA

Principal Data Engineer

Chicago, IL · On-site

Typically 7+ years of experience in data, analytics or application development. * 3+ years of coding proficiency in at least one programming language (Python, Java, SQL). * Experience using Agile ...

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Proficiency in Python (and/or Java, Shell) * Experience with AWS ecosystem (S3, Lambda, SQS/SNS)

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Proficiency in Python (and/or Java, Shell) * Experience with AWS ecosystem (S3, Lambda, SQS/SNS)

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Proficiency in Python (and/or Java, Shell) * Experience with AWS ecosystem (S3, Lambda, SQS/SNS)

Atria Group LLC

Portal java developer

Naperville, IL · On-site

Portal java developer. ADF and Fusion skills preferred Please with your top candidate indicate how ... Knowledge of data mapping, extraction, data migration, decision support systems, data marts/data ...

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How much do java data engineer jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for java data engineer in Oakbrook Terrace, IL is $60.76, according to ZipRecruiter salary data. Most workers in this role earn between $50.05 and $68.65 per hour, depending on experience, location, and employer.

What is a Java Data Engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

What are the most common challenges faced by Java Data Engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

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

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.
What cities near Oakbrook Terrace, IL are hiring for Java Data Engineer jobs? Cities near Oakbrook Terrace, IL with the most Java Data Engineer job openings:
Java Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Ulta Beauty

Bolingbrook, IL • On-site

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 17 days ago

Ulta Beauty rating

6.0

Company rating: 6.0 out of 10

Based on 995 frontline employees who took The Breakroom Quiz

12th of 23 rated health and beauty retailers

Job description

OVERVIEW
Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been defined as a "mature start-up." A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.
We're engineering for the future of retail, and it's no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you'll find that virtually nothing's impossible at Ulta Beauty.
THE IMPACT YOU CAN MAKE:
The Senior Data Engineer is responsible for supporting, planning and coordinating functional and technical activities related to data engineering in a highly dynamic and fast paced environment. They work alongside engineers, analysts and developers to deliver scalable robust innovative technical solutions. This position plays a key role in building batch and real-time data pipelines, streaming analytics and developing machine learning and agentic AI solutions on our GCP and Databricks platforms to enhance Ulta guest experience.
YOU'LL ACCOMPLISH THESE GOALS BY:
  • Design, develop, and support scalable batch and real-time data pipelines for large-scale data processing across enterprise platforms like Google Cloud Platform and Databricks.
  • Build data engineering solutions on GCP using services such as BigQuery, Dataflow, Cloud Composer/Airflow, GCS, Pub/Sub, APIs, and related cloud services.
  • Develop and support data ingestion, curation, transformation, and consumption pipelines on Databricks using Spark, Delta Lake, notebooks, workflows/jobs, and Databricks SQL where applicable.
  • Optimize SQL, Spark, BigQuery, and Databricks workloads for performance, reliability, scalability, and cost efficiency.
  • Support automated deployment, code promotion, version control, and continuous integration practices using tools such as GitHub/Bitbucket, Jenkins, Docker, shell scripting, and other DevOps tools.
  • Collaborates with cross-functional technologists ad business partners across the organization to gather requirements, solve new problems and deliver quality results.
  • Mentor junior engineers and consultants on data engineering best practices, coding standards, cloud development, data quality, and operational excellence.
  • Supports the operations of the deployed solutions, investigates complex issues and assists with the resolution and implementation of preventive measures.
  • Assists with evaluation of Proof of Concepts (POCs), project estimation and engages in performance testing and tuning activities for large data sets.
ESSENTIALS FOR SUCCESS:
  • Bachelor's degree in computer science, a related field, or applicable work experience.
  • 5 years of development experience on various GCP services, Databricks (GCP preferred) and exposure to AI agentic development capabilities.
  • In-depth understanding large data warehouse ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform and Databricks.
  • Experience in design and development of data pipelines leveraging batch and real-time data ingestion frameworks and spark streaming
  • Experience Have a passion for new technologies, continuous improvement and actively involved with the team to design new data solutions, monitoring and alerting policies for data solutions.
  • Expertise in Java, Python or any scripting language, SQL/NoSQL Database systems.
  • Experience in tools and technologies such as BigQuery, Databricks, Spark, Kafka Streams
  • Experience in test automation ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts.
  • Hands-on experience developing complex services/solutions based on Enterprise Integration Patterns and Coding best practices.
  • Proactive and able to catch issues before failures.
  • Possess a strong work ethic; takes pride in producing a quality product and a strong team player
  • Work with production support and project consultants in an onshore / offshore model
  • Support off-hours production issues and code deployments as needed
  • Minimal travel required (training/conferences)

The pay range for this position is $102,900.00 - $140,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta
ABOUT
At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty's own private label. Ulta Beauty also offers a full-service salon in every store featuring-hair, skin, brow, and make-up services.
We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

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