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Common Table Jobs in Illinois (NOW HIRING)

Staffingine LLC

SQL Developer

Oak Brook, IL · On-site

$45.75 - $62.50/hr

Advanced proficiency in T-SQL, stored procedures, views, joins, temp tables, common table expressions, and dynamic queries. * Understanding of HIPAA regulations and healthcare data standards (e.g ...

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Common Table information

What is the difference between Common Table vs Data Analyst?

AspectCommon TableData Analyst
Required CredentialsBasic SQL knowledge, sometimes certificationsBachelor's degree in statistics, data science, or related field; often certifications
Work EnvironmentData management, database administrationData analysis, reporting, visualization
Industry UsageDatabase management, IT departmentsBusiness intelligence, marketing, finance
Search & ComparisonOften compared for database rolesCompared for analytical and reporting roles

While a Common Table typically refers to a database object used to organize and store data, a Data Analyst focuses on interpreting data, creating reports, and providing insights. Both roles involve working with data, but their responsibilities and required skills differ significantly.

What are popular job titles related to Common Table jobs in Illinois?

For Common Table jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Common Table jobs in Illinois look for?

The top searched job categories for Common Table jobs in Illinois are:

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Cities in Illinois with the most Common Table job openings:

Common Table jobs near you

SQL Developer

Staffingine LLC

Oak Brook, IL • On-site

$45.75 - $62.50/hr

Contractor

Re-posted 3 days ago

Job description

Job Title: SQL Developer
Location: Oak Brook, IL  
Type: Contract

Job Description: 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 databases that support key healthcare initiatives, reporting requirements, and compliance mandates (e.g., HIPAA). The ideal candidate has experience working with large, complex datasets—especially in the healthcare industry—and is passionate about turning raw data into actionable insights.

Key Responsibilities:

  • Design, develop, and maintain SQL queries, stored procedures, views, and
  • functions to support business and clinical / healthcare data needs.
  • Work closely with data analysts, report developers, and stakeholders to gather
  • requirements and deliver accurate, efficient data solutions.
  • Optimize and troubleshoot existing SQL code and queries to improve
  • performance and reliability.
  • Maintain data integrity and ensure proper data governance in alignment with
  • HIPAA and other regulatory standards.
  • Develop and maintain ETL processes to support data integration across systems.
  • Document data models, workflows, and processes for internal use and compliance.
  • Collaborate with IT and data engineering teams on database architecture, data warehousing, and analytics initiatives.
  • Analyze technical and general business problems and issues using and managing data from internal and external sources to provide insight for decision-making.
  • Communicate and interact effectively and professionally with primarily co-workers, management, and internal customers.

Qualifications:

  • 3+ years of experience in SQL development, preferably in a healthcare environment.
  • Strong knowledge of T-SQL, query optimization, and relational database design (SQL Server.)
  • Advanced proficiency in T-SQL, stored procedures, views, joins, temp tables, common table expressions, and dynamic queries.
  • Understanding of HIPAA regulations and healthcare data standards (e.g., HL7, FHIR, ICD-10, CPT).

Preferred:

  • Payer Operations: Knowledge of claims processing and claim concepts, provider and vendor data, and staff productivity metrics 
  • Utilization Management: Familiarity with authorisation concepts 
  • Healthcare Data: General familiarity with healthcare claim concepts such as claims, enrollment, utilisation, and provider network data 

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Detail-oriented with a focus on data accuracy and security.
  • Ability to work independently and manage multiple tasks simultaneously.