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Cloud Data Engineer Entry Level Jobs in Chicago, IL

Prophecy Technologies

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 ...

Dlapiper

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 ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... cloud data sources, XML, JSON * Experience in ETL concerning metadata management and data ...

Ascot Group

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ... Experience working with enterprise data platforms, cloud data services, or modern analytics ...

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

IBM

Associate Data Engineer 2027

Chicago, IL · On-site

$118K - $141K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Basic understanding of Cloud (AWS, Azure, etc). * Ability to use programming languages like Java ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that move data from our source systems into our cloud data platform, helping ensure clean, reliable data ...

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and ...

Armaninollp

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Support day-to-day operations for cloud data platforms (workspace/project setup, access requests ...

Mwe

Pricing Data Engineer

Chicago, IL

$110K - $169K/yr

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... Knowledge of cloud data warehouses and experience with cloud-based data platforms and data ...

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Cloud Data Engineer Entry Level information

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How much do cloud data engineer entry level jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for cloud data engineer entry level in Chicago, IL is $64.78, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $73.80 per hour, depending on experience, location, and employer.

What does a cloud data engineer entry level do?

A Cloud Data Engineer Entry Level is responsible for assisting in the design, development, and management of data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud. They help build and maintain pipelines that move and transform data, ensuring it is accessible and secure for analysis. Entry-level cloud data engineers often work under the supervision of senior engineers, contributing to data integration, storage solutions, and performance optimization tasks while learning industry best practices.

What are the key skills and qualifications needed to thrive as an entry level cloud data engineer?

To thrive as an Entry Level Cloud Data Engineer, you need a solid understanding of data structures, basic programming (often in Python or SQL), and foundational knowledge of cloud platforms such as AWS, Azure, or Google Cloud, typically supported by a related degree or certification. Experience with cloud-based data warehousing tools (like Amazon Redshift or BigQuery), ETL processes, and data pipeline orchestration systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve data-related challenges. These skills and qualities are crucial for efficiently building, managing, and optimizing cloud data solutions that support business analytics and decision-making.

What types of projects and tasks can an entry level cloud data engineer expect to work on during their first year?

As an entry-level Cloud Data Engineer, you can expect to work on foundational tasks such as building and maintaining data pipelines, assisting with cloud platform migrations, and supporting data integration efforts. You'll often collaborate with senior engineers and data analysts to ensure data is properly ingested, transformed, and stored in cloud environments like AWS, Azure, or Google Cloud. Common challenges include learning to troubleshoot data flow issues and adapting to various cloud tools and services. Over time, you'll gain exposure to automation, scripting, and optimizing data workflows, which are essential for career growth in this field.

What are the most commonly searched types of Cloud Data Engineer jobs in Chicago, IL?

The most popular types of Cloud Data Engineer jobs in Chicago, IL are:

What are popular job titles related to Cloud Data Engineer Entry Level jobs in Chicago, IL?

For Cloud Data Engineer Entry Level jobs in Chicago, IL, the most frequently searched job titles are:

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Cloud Data Engineer Entry Level jobs near you

Lead Cloud Data Engineer - Multi-Cloud Data Platforms

US Bank

Chicago, IL • On-site

$57.50 - $76.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 362 frontline employees who took The Breakroom Quiz

50th of 171 rated banks

Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

We are seeking a highly skilled Senior Cloud Data Engineer to join our Data Product Engineering team. This role is hands-on and delivery-focused, responsible for designing, building, and operating enterprise-grade data products across a multicloud ecosystem, including Azure, AWS, Databricks, and Snowflake. The ideal candidate brings deep experience in modern cloud data platforms, distributed data processing, and secure data integration. You will collaborate closely with product managers, analytics teams, data governance, and security partners to ensure data products are scalable, reliable, compliant, and reusable across the enterprise. This role plays a key part in evolving our data platforms from legacy and firstgeneration architectures to cloudnative, domain-oriented data products while adhering to financial services governance and control requirements.

Key Responsibilities

  • Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
  • Lead and contribute to the modernization and migration of onprem and legacy data platforms to cloud-based solutions.
  • Implement batch and streaming data processing patterns using Spark and cloud-native services.
  • Partner with data governance, security, and risk teams to ensure data products comply with enterprise governance, data privacy, and regulatory requirements.
  • Enable secure data sharing and access patterns across domains and platforms using appropriate controls.
  • Define and promote data engineering best practices, including CI/CD, testing, observability, performance tuning, and cost optimization.
  • Collaborate with product owners and analytics teams to translate business requirements into well-modeled, high-quality datasets.
  • Work closely with cloud and security architects to implement secure, scalable, and resilient data solutions.
  • Support and mentor junior engineers through design reviews, code reviews, and technical guidance.

Basic Qualifications

  • Bachelor's degree, or equivalent work experience
  • Six to eight years of relevant experience

Skills Should Include

  • Experience with data architecture and platform design in large enterprises.
  • Knowledge of data sharing, data mesh, or domain-driven data architecture concepts.
  • Strong problem-solving skills and a track record of delivering scalable, efficient data solutions.

Cloud & Data Platforms

  • Strong hands-on experience with Azure Data Platform services, including: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics (or Fabric equivalent experience)
  • Experience with AWS data services, such as AWS Glue, S3, and event-driven integrations.
  • Deep experience with Databricks (Spark, Delta Lake, performance tuning).
  • Strong working knowledge of Snowflake, including data modeling, ingestion patterns (e.g., Snowpipe), and data sharing.

Data Engineering & Processing

  • Expertise in Apache Spark for large-scale data processing.
  • Experience building batch and near-real-time data pipelines.
  • Strong SQL skills and experience with dimensional and analytical data modeling.
  • Experience designing reusable, domain-oriented data products.

Integration & Messaging

  • Experience with API-based integrations (REST; familiarity with SOAP and GraphQL is a plus).
  • Hands-on experience integrating with API gateways.
  • Understanding of messaging and streaming platforms such as Kafka, MQ, AWS SQS, or RabbitMQ.

Security & Governance

  • Strong understanding of IAM, RBAC, OAuth 2.0, TLS/mTLS, and JWT.
  • Experience implementing secure data access patterns in cloud environments.
  • Familiarity with data cataloging, lineage, and metadata management concepts.

Analytics Enablement

  • Experience enabling self-service analytics and BI using tools such as Power BI, Tableau, or equivalent.

Preferred Qualifications

  • Support AI initiatives through the data platform and data products.
  • Prior experience in financial services or other highly regulated industries.
  • Professional certifications in Microsoft Azure and/or AWS.
  • Master's degree in a relevant technical field.

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

Social media

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