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Data Sql Jobs in Romeoville, IL (NOW HIRING)

Sr Data Engineer

Chicago, IL · Hybrid

$118K - $141.80K/yr

Azure, Databricks, ETL, Python or Hadoop, INFORMATICA or Abinitio, Data lake, SQL, - AWS S3 and Databricks are top 2 skills needed - MUST HAVE If they don't know databricks, they have to be able to ...

SQL Developer

Oak Brook, IL · On-site

$45.75 - $62.50/hr

Contract We are seeking a skilled SQL Developer to join our growing data and analytics team. This role is critical to the development, optimization, and maintenance of complex SQL queries and ...

SQL Developer II Salary: $90,000/yr on W2 all-inclusive with benefits REMOTE Must-Haves 2+ years ... develop Data Integration solutions as part of the continued development and maturation of the ...

SQL Database Administrator

Chicago, IL · On-site

$51.50 - $64.50/hr

In addition, this role will work with data modeling, data/metadata analysis, and ETL. Thorough knowledge and experience with Microsoft SQL 2005, 2008, 2008 R2, 2012 or greater. Thorough knowledge of ...

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Data Sql information

See Romeoville, IL salary details

$21.9K

$89.3K

$129.5K

How much do data sql jobs pay per year?

As of May 28, 2026, the average yearly pay for data sql in Romeoville, IL is $89,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $102,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Sql vs Data Analyst?

AspectData SqlData Analyst
Required CredentialsSQL certifications, database knowledgeStatistics, data visualization, SQL skills
Work EnvironmentDatabase management, backend systemsBusiness insights, reporting, dashboards
Industry UsageIT, tech, finance, healthcareMarketing, finance, consulting, tech

Data Sql professionals focus on managing and querying databases using SQL, often working behind the scenes to ensure data integrity. Data Analysts interpret data to generate reports and insights, frequently using SQL as a tool. While both roles require SQL skills, Data Sql roles are more technical and database-centric, whereas Data Analysts focus on analyzing data to support business decisions.

What are popular job titles related to Data Sql jobs in Romeoville, IL? For Data Sql jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Data Sql jobs in Romeoville, IL look for? The top searched job categories for Data Sql jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Data Sql jobs? Cities near Romeoville, IL with the most Data Sql job openings:

$118K - $141.80K/yr

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Job description

Role : Sr Data Engineer
Location : Chicago IL (look for Nearby candidates)
Hybrid (3 days office, 2 days WFH)
Must to have: Azure, Databricks, ETL, Python or Hadoop, INFORMATICA or Abinitio, Data lake, SQL,
- AWS S3 and Databricks are top 2 skills needed - MUST HAVE If they don't know databricks, they have to be able to pick it up quickly
- Python & Spark Hadoop/Abinitio/Informatica would be helpful Will be working with pipelines and archiving the data May be moving the data into a new Data Lake
• Strong understanding of RDBMS, NoSQL, big data, SQL, and ETL tools.
• Experience programming with at least one modern language such as Java, Python, Unix Shell.
Below are skills for the two data engineer positions:
Required qualifications, capabilities, and skills:
• BS degree in Computer Science or certification on software engineering.
• Proficient in data analysis, data engineering, data modeling, and database management.
• Strong understanding of RDBMS, NoSQL, big data, SQL, and ETL tools.
• Experience programming with at least one modern language such as Java, Python, Unix Shell.
• Proficiency in REST APIs, microservices, distributed systems and cloud (hybrid) computing .
• Strong understanding of Agile methodologies with ability to work in at least one of the common frameworks.
• Strong understanding of techniques such as CI/CD, TDD, cloud development, resiliency, and security.
• Proven experience with business analysis, design, development, testing, deployment, maintenance, and improvement.
Preferred qualifications, capabilities, and skills:
• Experience working with data intensive software (such as big data, data warehouses, data lakes).
• AWS experience with developing on AWS, S3, Lambda, MSK, EC2, IAM, and related data products.
• Experience with Databricks, Amazon RDS, Oracle, Hadoop/Cloudera, HUE, Hive, Impala.
• Experience with GraphQL.