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Entry Level Azure Data Engineer Jobs in Chicago, IL

Bcbsa

Data Engineer (AI/ML)

Chicago, IL

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... Working knowledge of cloud platforms (AWS or Azure) and data warehouses (Snowflake). * Familiarity ...

Sogeti

Data Test lead

Chicago, IL · On-site

Collaborate closely with Data Engineers, QA teams, Business Analysts, Product Owners, and SMEs ... Azure Data Lake, MuleSoft, Databus, handling of different file formats, JSON, XML etc Building ...

Marmon Holdings, Inc.

Data Scientist

Carol Stream, IL · On-site

Experience working with real world, imperfect datasets and applying sound data preparation and feature engineering techniques. * Experience with MS Azure or MS Fabric being a plus, or any cloud ...

Marmon

Data Scientist

Carol Stream, IL · Hybrid

Experience working with real world, imperfect datasets and applying sound data preparation and feature engineering techniques. * Experience with MS Azure or MS Fabric being a plus, or any cloud ...

SEI

Data and Analytics Consultant

Chicago, IL

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

Pursuit Aerospace

Lead Data Scientist

Chicago, IL · On-site

$144K - $198K/yr

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... Azure data platform * Effective AI-assisted product development and proficient in using AI to plan ...

Iatinsurancegroup

Business Data Analyst

Naperville, IL · On-site +1

$55K - $120K/yr

Exposure to Agile delivery and tools such as Azure DevOps or Jira. * Bachelor's degree in business ... We offer comprehensive benefits like: * 26 PTO Days (Entry Level) + 12 Company Holidays = 38 Paid ...

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Entry Level Azure Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do entry level azure data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level azure data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

What is an Entry Level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an Entry Level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.
What are the most commonly searched types of Azure Data Engineer jobs in Chicago, IL? The most popular types of Azure Data Engineer jobs in Chicago, IL are:
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Entry Level Azure Data Engineer jobs near you

Data Engineer (AI/ML)

Bcbsa

Chicago, IL

$118K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 hours ago

Job description

Job Description Summary
The Data Engineer will design, build, and optimize scalable, secure data pipelines that power analytics and product platforms. For this role specifically, the focus will be on Machine Learning (ML) and Generative Artificial Intelligence (GenAI) workloads, while contributing to innovation and ensuring compliance with healthcare industry standards. This role is expected to provide strong hands-on technical expertise, collaborate across teams, and contribute to architecture decisions that align engineering practices with organizational goals.

Job Description

  • Design, build, andmaintainreliable, high-performance data pipelines for large-scalestructured and unstructured healthcare data.

  • UsePySparkand modern cloud-based tools (Databricks, AWS Glue, EMR, Snowflake) to transform and process data efficiently.

  • Support ingestion, transformation, and validation processes that ensure data consistency, integrity, and availability.

  • Partner with Data Architects, Data Scientists, and Analysts to translate business needs into scalable engineering solutions.

  • Collaborate with platform and DevOps teams to deploy, scale, and monitor data pipelines using Airflow and Kubernetes.

  • Participate in code reviews, documentation, and continuous improvement efforts across the engineering team.

  • Implement andmaintaindata validation frameworks to ensure pipeline accuracy and completeness.

  • Contribute to best practices in version control, metadata management, and reproducibility.

  • Stay current with emerging technologies in data engineering and cloud computing, recommending improvements to existing infrastructure.

  • Participate in performance tuning, cost optimization, and scaling strategies for cloud-based data systems.

  • Identifyautomation opportunities to streamline ETL/ELT processes and reduce operational overhead.

  • Share knowledge and mentor junior team members on tools, techniques, and best practices.

  • Promote a culture of collaboration, innovation, and continuous learning within the engineering organization.

  • Support compliance with SOC 2, HIPAA, and GDPR by adhering toestablisheddata privacy and security practices.

The posting range for this position is:

100,800.00 - 138,600.00

Required Education, Certifications and Experience:

Education:

  • Bachelor's orMaster's degree in Computer Science, Engineering, or related field.

Experience:

  • 5+years of experience in data engineering, including building and managing pipelines in cloud-based environments.

Knowledge Skills and Abilities

  • Experience with building and operationalizing the data foundations that support machine learning and generative AI use cases, including feature pipelines, training/inference data preparation, and retrieval-ready datasets (e.g., embeddings and vector stores)
  • Familiarity with GenAI skills and adjacent tooling (foundation models, prompt engineering, RAG, embeddings/vector databases, and GenAI orchestration frameworks).
  • Hands-on experience with AWS AI/ML and data services, including Amazon Bedrock, Bedrock Agent Core, SageMaker, Glue, and EMR.
  • Experience designing and optimizing data architectures, including data foundations that support ML and GenAI workloads.
  • Hands-on experience with workflow orchestration (Airflow) and containerization (Kubernetes).
  • Hands-on technical expertise, cross-team collaboration, and contributing to architecture decisions
  • Proficiencyin Python, SQL, and distributed data frameworks (PySpark, Databricks, AWS Glue, EMR).
  • Working knowledge of cloud platforms (AWS or Azure) and data warehouses (Snowflake).
  • Familiarity with NoSQL and relational databases, as well as data modeling best practices.
  • Strong analytical, problem-solving, and communication skills.
  • Understanding ofcompliance frameworks (SOC 2, HIPAA) and secure data management principles.
  • Experience working with healthcare datasets or knowledge of healthcare standards (HIPAA, HL7, FHIR) preferred.

#LI_HYBRID

      The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate's position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.This job is also eligible for annual bonus incentive pay.

      We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.

      Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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