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Azure Data Engineer Jobs in DeKalb, IL (NOW HIRING)

Bespoke Labs

Data Engineer

Dekalb, IL · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Aurora, IL · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Rockford, IL · On-site

$105K - $126K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Becton, Dickinson and Company

DevOps Engineer

Oregon, IL · On-site

$49.25 - $67.50/hr

Hands-on experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps). * Experience with version control systems, particularly Git. * Strong understanding of networking concepts, operating ...

Cleo (US)

Support Engineer I

Rockford, IL · On-site +1

$65K - $75K/yr

Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud. * Basic SQL ... and customer data protection requirements. A few things we have to offer: * Competitive ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in DeKalb, IL

Azure Data Engineer information

See DeKalb, IL salary details

$43.7K

$127.3K

$174.2K

How much do azure data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for azure data engineer in DeKalb, IL is $127,316.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $135,000.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are popular job titles related to Azure Data Engineer jobs in DeKalb, IL? For Azure Data Engineer jobs in DeKalb, IL, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in DeKalb, IL look for? The top searched job categories for Azure Data Engineer jobs in DeKalb, IL are:
What cities near DeKalb, IL are hiring for Azure Data Engineer jobs? Cities near DeKalb, IL with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in DeKalb, IL as of July 2026, with employment types broken down into 87% Full Time, 7% Part Time, 5% Contract, and 1% Nights. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $127,316 per year, or $61.2 per hour.

Data Engineer

Bespoke Labs

Dekalb, IL • On-site

$112K - $135K/yr

Full-time

Posted 9 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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