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Data Engineer Two Jobs in Aurora, IL (NOW HIRING)

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

Hybrid At least 2 days per week in office in Chicago, IL Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting ...

... - 2 years of experience What Sets You Apart - Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Cloud; * 2+ years usingAzure DevOpsfor automated builds, releases and pipeline orchestration;

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... Support compliance with SOC 2, HIPAA, and GDPR by adhering toestablisheddata privacy and security ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Data Engineering WHO WE ARE: We are RAPP - world leaders in activating growth with precision and ... Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists ...

Data Engineer (Azure)

Chicago, IL · On-site +1

$118K - $141K/yr

Conduct and participate in Code Reviews to ensure code quality and maintainability What You Bring Required Qualifications * 2-5 years of hands-on experience in data warehouse / data engineering roles

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Data Engineering WHO WE ARE: We are RAPP - world leaders in activating growth with precision and ... Part of Omnicom's Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists ...

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

Required * * 5+ years of professional data engineering experience, with at least 2 years in a senior or lead capacity * Deep, hands-on experience with Snowflake: warehouse design, performance tuning ...

Data Engineering & Data Architecture for a Customer Data Platform (CDP) feeding marketing ... 2. Architecture & Technical Governance * Own feature-level architecture decisions and author ...

New

Data Engineering & Data Architecture for a Customer Data Platform (CDP) feeding marketing ... 2. Architecture & Technical Governance * Own feature-level architecture decisions and author ...

New

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

As a Data Engineer Lead, you will ensure data accuracy and reliability, manage data extraction and ... two implementations), hands-on experience with SAP Hana. Preferred : • Proven experience in data ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Skills & Qualifications * 2+ years of experience in handling large datasets working with a ... Data Engineer, Senior Data Engineer, Database Engineer, Data Architect, Senior Data Architect

Software Engineer II (Remote)

Oak Brook, IL · On-site +1

$98K - $134K/yr

Support Software Engineer II work directly with production data involving real money movement, tax reporting, and multi-bank operations. * Duties & Responsibilities: o Support Engineering and ...

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI ... AI Engineer II role, we'd love to hear from you! Compensation The base salary range below ...

AI Engineer II

Chicago, IL · On-site

$116K - $144K/yr

Ensure solutions meet security standards, data governance requirements, and Responsible AI (RAI ... AI Engineer II role, we'd love to hear from you! Compensation The base salary range below ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 2 years of experience in big data technologies * At least 1 year experience with cloud ...

Showing results 41-60

Data Engineer Two information

See Aurora, IL salary details

$44.1K

$128.6K

$176K

How much do data engineer two jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer two 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 is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What other jobs can a data engineer do?

Data engineers can transition into roles such as data architects, data analysts, machine learning engineers, or software engineers, leveraging their skills in data pipelines, database management, and programming. They often work with tools like SQL, Python, and cloud platforms, and may pursue certifications to expand their expertise in data systems and analytics.

What are popular job titles related to Data Engineer Two jobs in Aurora, IL?

For Data Engineer Two jobs in Aurora, IL, the most frequently searched job titles are:

What cities near Aurora, IL are hiring for Data Engineer Two jobs?

Cities near Aurora, IL with the most Data Engineer Two job openings:

Infographic showing various Data Engineer Two job openings in Aurora, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,605 per year, or $61.8 per hour.

Lead Data Engineer

Eliassen Group

Chicago, IL • On-site

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


Job description

Description:
Hybrid At least 2 days per week in office in Chicago, IL
Our client seeks a Lead Data Engineer to design, build, and optimize large-scale data processing for attribution, measurement, forecasting, and privacy-preserving analytics. The role requires leadership of a major workstream, strong Scala, Spark, SQL, and Python skills, and cloud data platform expertise. The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering to deliver secure, scalable, and compliant data solutions.
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: $75.00 to $85.00/hr. w2
Responsibilities:
  • Lead design, implementation, and optimization of large-scale data processing using Scala, Spark, SQL, and modern data platforms for attribution.
  • Design and operate trusted data pipelines handling advertiser, customer, and measurement datasets across AWS, Google Cloud Platform, Azure, and approved ecosystems.
  • Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution, measurement, forecasting, and analytics.
  • Own scalable batch and streaming workflows using orchestration frameworks and cloud-native services.
  • Implement data classification, access controls, and privacy-preserving techniques aligned with security and compliance requirements.
  • Drive clean-room and trusted data-sharing environments, exposing only aggregated or privacy-protected outputs.
  • Build observability, monitoring, alerting, and operational tooling for reliability, performance, and compliance.
  • Troubleshoot complex platform, performance, and pipeline issues across distributed systems.
  • Influence technical design, architecture, and best practices in partnership with senior engineering leadership.
  • Mentor engineers, lead design and code reviews, and provide technical leadership.
  • Ensure all sensitive processing occurs within controlled, auditable boundaries with no unintended egress of PII or proprietary signals.
  • Define data handling standards and document trust boundaries, data contracts, lineage, and permitted movement between zones.
  • Apply privacy-preserving computation, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting.
  • Implement encryption, key management, and secure handling using cloud-native security and governance services.
  • Support audits, compliance, governance reviews, and secure data-sharing initiatives.

Experience Requirements:
  • 8+ years in Data Engineering with strong Scala and extensive Apache Spark on AWS and/or Google Cloud Platform.
  • Strong Python for pipelines, tooling, automation, and infrastructure modules.
  • Advanced SQL across relational, cloud warehouses, and lakehouse platforms handling TB-scale datasets.
  • Design, build, and maintenance of batch and streaming pipelines.
  • Data warehousing, dimensional modeling, data quality, partitioning, and performance optimization.
  • Distributed data processing and lakehouse architectures such as Databricks, Delta Lake, or Apache Spark.
  • Operating distributed data platforms at scale with orchestration tools like Airflow, Databricks Workflows, or AWS Step Functions.
  • Git-based workflows and automated testing frameworks.
  • Cloud-native development on AWS and/or Google Cloud Platform with CI/CD, code reviews, observability, and production support.
  • Proven technical leadership, mentorship, and delivery within tight timelines.
  • Trusted environment execution: clean rooms or secure data-sharing platforms, handling PII and regulated data, fine-grained access controls, governance policies, and policy enforcement.
  • Familiarity with tokenization, pseudonymization, aggregation-before-export, and differential privacy concepts.
  • Experience with measurement, attribution, audience analytics, or privacy-preserving reporting solutions.
  • Data lineage and governance tooling such as Unity Catalog, AWS Glue Data Catalog, Apache Atlas, or OpenLineage.
  • Understanding of trust boundaries, secure data-sharing patterns, and zero-trust data architecture.
  • Experience documenting data contracts, flows, lineage, and permitted data movement between zones and domains.
  • Encryption, key management, and secure handling of sensitive data with cloud-native security services.
  • Design of observability and alerting to detect anomalous movement, policy violations, and potential leakage.
  • Experience in environments where only aggregated, anonymized, tokenized, or privacy-protected outputs may leave trusted boundaries.
  • Strong written and verbal English communication and experience in Agile/SCRUM.
  • Good to have: Databricks, AWS Clean Rooms or PETs, advertising and retail media platforms, collaboration with Security/Privacy/Risk/Compliance, ELK/Grafana/OpenTelemetry, Docker/Kubernetes, and secure design reviews.

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