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Sql Developer Data Engineer Jobs in Illinois (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to ... SQL (advanced querying and optimization)

Data Engineer

Chicago, IL

$118K - $141K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including ... & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including ... & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep ...

Data Engineer

Chicago, IL

$118K - $141K/yr

HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications * Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka. Qualifications * Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Title: Data Engineer Location: Chicago, Ill Openings: 1 Type: Permanent hire The Client is ... Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL ...

Azure Data Engineer

Chicago, IL

$118K - $141K/yr

ADF Databricks Python SQL Retail experience would be helpful, but not required Job Title: Azure ... Deploy, monitor, and automate workflows using Azure DevOps and automated alert configurations.

AI Data Engineer

Moline, IL · On-site

$103K - $124K/yr

AI Data Engineer Location: Moline,IL Pay Rate:USD$ 60 .00 $ 65 .00 /hr.with benefits Key ... SQL & Database Expertise: Write complex SQL queries for data extraction, transformation, and ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Develop high-quality PySpark / Spark SQL transformations, optimize joins, partitioning, caching ... Hands-on experience integrating Azure Databricks with Azure DevOps, Azure Blob Storage / ADLS Gen2 ...

Senior Data Engineer

Chicago, IL · Hybrid

$109K - $148K/yr

Develop high-quality PySpark / Spark SQL transformations, optimize joins, partitioning, caching ... Hands-on experience integrating Azure Databricks with Azure DevOps, Azure Blob Storage / ADLS Gen2 ...

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required ... SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

Chicago IL Jobs, Data Engineer Trading, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures, Data Models, ETL, Programmer Analyst, Programming, Software Developer, Trading, Financial ...

Mid-Level SQL Engineer

Caseyville, IL · On-site

$87K - $157K/yr

Description If you've been building your skills in SQL, data engineering fundamentals, and mission‑driven development , and you're ready for work that actually moves the needle, this is the kind of ...

Mid-Level SQL Engineer

Glen Carbon, IL · On-site

$87K - $157K/yr

Description If you've been building your skills in SQL, data engineering fundamentals, and mission‑driven development , and you're ready for work that actually moves the needle, this is the kind of ...

Mid-Level SQL Engineer

Dupo, IL · On-site

$87K - $157K/yr

Description If you've been building your skills in SQL, data engineering fundamentals, and mission‑driven development , and you're ready for work that actually moves the needle, this is the kind of ...

Description If you've been building your skills in SQL, data engineering fundamentals, and mission‑driven development , and you're ready for work that actually moves the needle, this is the kind of ...

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Sql Developer Data Engineer information

What is the difference between Sql Developer Data Engineer vs Data Analyst?

AspectSql Developer Data EngineerData Analyst
Required SkillsSQL, ETL, data modeling, programming (Python, Java)Data visualization, statistical analysis, SQL
CertificationsSQL certifications, cloud platform certificationsData analysis or visualization certifications
Work EnvironmentData pipelines, database management, cloud platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

The Sql Developer Data Engineer focuses on building and maintaining data pipelines, databases, and infrastructure, often working with large-scale data systems. Data Analysts interpret data, create reports, and provide insights for decision-making. While both roles require SQL skills, Data Engineers typically have more programming and system architecture responsibilities, whereas Data Analysts focus on data interpretation and visualization.

What are SQL Developer Data Engineers?

SQL Developer Data Engineers are technology professionals who design, develop, and maintain databases and data pipelines using SQL and related tools. They are responsible for extracting, transforming, and loading (ETL) data to ensure it is accessible, reliable, and optimized for analysis and reporting. These engineers collaborate with other IT and business teams to support data-driven decision-making, improve data quality, and implement data security measures. Their work is crucial for organizations that rely on large amounts of data for their operations and analytics.

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

To thrive as an SQL Developer/Data Engineer, you need strong proficiency in SQL, database design, data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools, data warehousing solutions, and platforms like Microsoft SQL Server, Oracle, or cloud-based databases, as well as certifications such as Microsoft Certified: Azure Data Engineer Associate, are often required. Analytical thinking, problem-solving, and effective communication are vital soft skills for collaborating with stakeholders and translating business requirements into technical solutions. These skills and qualities enable efficient data management, reliable data pipelines, and actionable insights that drive business decisions.

How do SQL Developer Data Engineers typically collaborate with data analysts and other stakeholders within a company?

SQL Developer Data Engineers frequently work closely with data analysts, business intelligence teams, and other stakeholders to ensure data is accessible, reliable, and optimized for analysis. They are responsible for designing and maintaining the data infrastructure, writing complex queries, and translating business requirements into technical solutions. Regular meetings and clear communication are essential, as they often need to explain technical concepts to non-technical team members and incorporate feedback to refine data models or reporting systems. This collaborative environment enables efficient data-driven decision-making across the organization.
What are popular job titles related to Sql Developer Data Engineer jobs in Illinois? For Sql Developer Data Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Sql Developer Data Engineer jobs in Illinois look for? The top searched job categories for Sql Developer Data Engineer jobs in Illinois are:
What cities in Illinois are hiring for Sql Developer Data Engineer jobs? Cities in Illinois with the most Sql Developer Data Engineer job openings:
Infographic showing various Sql Developer Data Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Engineer

Data Engineer

1 point system

Chicago, IL • On-site

$118K - $141K/yr

Contractor

Re-posted 19 days ago


Job description

Job Description:

Key Responsibilities

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake
Build and optimize ELT/ETL processes for structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)