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Contract Databricks Data Engineer Jobs in Aurora, IL

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.

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and ... Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies

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.

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

Data Engineer

Chicago, IL · On-site

$175K - $225K/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

Data Engineer Lead

Chicago, IL · On-site +1

$51 - $89/hr

We're looking for a hands-on Data Engineer Lead to support an important Phase 0 discovery effort ... Strong Databricks experience. * Experience with SQL and NoSQL databases. * Experience working in ...

New

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Apply deep expertise in Databricks, AWS, SQL, Python, Linux, and cloud integration patterns to ... Continuously improve on data engineering standards, developer productivity, automation, and ...

Lead Data Engineer

Chicago, IL · On-site

$105K - $139K/yr

We are looking for a Lead Data Engineer who's ready to do more than just build pipelines on Databricks and AWS. · You will help shape enterprise analytics strategy, influence architecture, and ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ...

General Information

Chicago, IL · On-site

$118K - $141K/yr

Requirements: * 5+ years of data engineering experience, with at least 2 years of hands-on data pipeline design and development experience with Databricks, including specific -platform features like ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Lead Data Engineer

Chicago, IL · On-site +1

$111K - $160K/yr

Lead the design and implementation of a modern AWS + Databricks Lakehouse platform; * Partner ... Drive data engineering standards, best practices, and architecture across the data ecosystem;

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.

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.

Showing results 41-60

Contract Databricks Data Engineer information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do contract databricks data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for contract databricks data engineer in Aurora, IL is $128,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

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.

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 popular job titles related to Contract Databricks Data Engineer jobs in Aurora, IL? For Contract Databricks Data Engineer jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Aurora, IL look for? The top searched job categories for Contract Databricks Data Engineer jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Contract Databricks Data Engineer jobs? Cities near Aurora, IL with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in Aurora, IL as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Senior Data Engineer

Eliassen Group

Chicago, IL • On-site

$70 - $80/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

Description:
Hybrid At least 2 days per week in office in Chicago, IL
Our client seeks a Senior Data Engineer to design, build, and operate large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. You will develop Scala and Spark solutions on cloud platforms, implement governance and privacy controls, and partner with cross-functional teams to deliver secure, reliable data products.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $70.00 to $80.00/hr. w2
Responsibilities:
  • Develop and optimize large-scale data processing solutions using Scala, Spark, and SQL on modern data platforms.
  • Build and operate trusted data pipelines across secure cloud environments such as AWS, Google Cloud Platform, or Azure.
  • Partner with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving features.
  • Build, schedule, and maintain scalable batch and streaming data workflows with orchestration frameworks.
  • Implement data classification, access controls, and privacy-preserving techniques aligned to compliance requirements.
  • Contribute to clean-room and trusted data-sharing environments with approved aggregated outputs.
  • Create observability, monitoring, and operational tooling for reliability and compliance.
  • Troubleshoot complex performance and pipeline issues across distributed systems.
  • Contribute to technical design, best practices, and operational excellence.
  • Mentor junior engineers and perform thorough code reviews.
  • Continuously improve attribution, measurement, forecasting, and privacy-preserving analytics capabilities.
  • Operate pipelines within trusted environments, clean rooms, or secure data-sharing platforms across cloud and on-premises.
  • Apply access controls, data classification, lineage, and governance for PII, PCI, and confidential signals.
  • Follow data handling standards with Security, Privacy, and Compliance teams to keep sensitive data within trust boundaries.
  • Enforce aggregation, anonymization, tokenization, and approved outputs for data leaving trusted environments.
  • Build monitoring and alerting to detect anomalous data movement and policy violations.
  • Apply privacy-preserving computation when outputs cross trust boundaries, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure handling with cloud-native security services.
  • Document trust boundaries, data contracts, lineage, and permitted data movement.
  • Support audits, compliance requirements, governance reviews, and secure data-sharing initiatives.
  • Participate in architecture and design reviews to embed governance, privacy, lineage, and trust-boundary requirements.
  • Contribute to engineering standards for secure data processing and trusted platform operations.

Experience Requirements:
  • 5+ years of data engineering with strong Scala and Apache Spark on AWS and/or Google Cloud Platform.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across RDBMS, cloud data warehouses, and lakehouse platforms with TB-scale datasets.
  • Designing and maintaining batch and streaming data pipelines.
  • Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Distributed processing and modern lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
  • Operating distributed data platforms at scale.
  • Workflow orchestration with Airflow, Databricks Workflows, AWS Step Functions, or equivalent.
  • Source control with Git and test automation frameworks.
  • Cloud-native development on AWS and/or Google Cloud Platform.
  • Software engineering practices including CI/CD, code reviews, observability, and production support.
  • Ownership of features and pipelines with cross-team collaboration and mentoring.
  • Trusted environment execution with clean rooms or secure data-sharing platforms handling PII and regulated data.
  • Fine-grained access controls, governance policies, and policy-based enforcement for sensitive datasets.
  • Privacy-preserving techniques such as tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with clean-room, measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
  • Understanding of trust boundaries, secure data-sharing patterns, and zero-trust principles.
  • Encryption, key management, and secure handling of sensitive data with cloud-native services.
  • Observability and alerting to detect anomalous data movement and potential leakage events.
  • Strong understanding of cloud-native security and governance.
  • Good to have: Databricks, AWS Clean Rooms, advertising measurement platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker and Kubernetes, lineage and governance tooling, and documenting data contracts and flows.
  • Strong written and verbal English communication skills.
  • Experience with Agile or SCRUM in cross-functional product teams.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989