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Data Jobs in Romeoville, IL (NOW HIRING)

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences - solutions that make payments faster, easier and more secure. Our company is built on the foundation ...

Data Architect

Chicago, IL · On-site +1

$65.75 - $84.50/hr

Company Description Payline Data creates solutions that deliver exceptional payment experiences - solutions that make payments faster, easier and more secure. Our company is built on the foundation ...

WHAT YOU'LL DO • Execute Data labelling and annotation tasks across speech and voice datasets. • Work with audio and language data, including transcription, categorization, and tagging. YOU ARE A ...

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders ...

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders ...

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Data information

See Romeoville, IL salary details

$46.9K

$168.3K

$248.3K

How much do data jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data in Romeoville, IL is $168,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,100.00 and $173,300.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What are the most commonly searched types of Data jobs in Romeoville, IL? The most popular types of Data jobs in Romeoville, IL are:
What are popular job titles related to Data jobs in Romeoville, IL? For Data jobs in Romeoville, IL, the most frequently searched job titles are:
What job categories do people searching Data jobs in Romeoville, IL look for? The top searched job categories for Data jobs in Romeoville, IL are:
What cities near Romeoville, IL are hiring for Data jobs? Cities near Romeoville, IL with the most Data job openings:
Infographic showing various Data job openings in Romeoville, IL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $168,254 per year, or $80.9 per hour.
Data Architect

Data Architect

Payline Data

Chicago, IL • On-site

$65.75 - $84.50/hr

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

Company Description
Payline Data creates solutions that deliver exceptional payment experiences - solutions that make payments faster, easier and more secure. Our company is built on the foundation of empowering our employees, customers and partners to achieve their greatest potential, while also working to make the world a better place by giving back to those in need.
Job Description
The right candidate is passionate about data technology, but not only the design, creation and implementation of best practices but also the long-term scalability that will set Payline Data apart from the competition. An experienced database architect will bring modern solutions to the payment experience to advise, oversee and maintain the integrity and security of company-wide data assets and services.
This position is responsible for designing, creating, deploying and managing the organization's enterprise data architecture. This position will act as a technical architect for the data warehouse and business intelligence enterprise strategy. It requires deep technical expertise in data architecture, database design, ETL processes, reporting/analytics, big data, and cloud. The Data Architect should understand the system development life cycle; software project management approaches; and requirements, design, and test techniques. The Data Architect is asked to conceptualize and influence application and interface projects, and therefore must understand what advice to give and where to plug in to steer toward desirable outcomes. This candidate will work closely in several different areas including Product Management, Software Engineering, and Operations.
Qualifications
  • 5+ years of experience, which the candidate will work closely with product management to design overall data architecture that meets related business and product requirements for back-end and front-end web applications
  • Experience designing and scaling databases on cloud computing platforms like Google Cloud Platform or Amazon Web Services.
  • Knowledge and experience in designing SQL, NoSQL and other databases technologies and a deep understanding of use cases for each.
  • Write optimized code to support application development.
  • Conduct server coding sessions for application developers.
  • Rewrite and tune poorly performing code to improve system performance by studying execution plans and optimizing the capabilities of the DBMS.
  • Ensure that all new database code meets company standards for readability, reliability and performance.
  • Develop database solutions by designing proposed system; defining database strategy, architecture, physical structure and functional capabilities
  • Maintain database documentation and relationship diagrams.
  • When performance issues arise, determine the most effective way to increase performance including hardware purchases, server configuration changes and or index/query changes.
  • Contribute to the overall system design and operational design
  • Work with developers to design and implement database strategies
  • Provide support to the business and technology teams in identifying the data flow associated with the business and guides proper data provisioning and data capture process optimization.

Additional Information
  • Not your typical work-place environment
  • Enjoy free snacks, free weekly breakfast, free gym membership, monthly "End of the Month" parties
  • 3 extra PTO days per year to be used for serving at charitable events.
  • Work hard, play hard and give back
  • Participate in coordinated charity events at your choosing
  • Included Health, Dental, and Vision Package.
  • Unlimited Sick Days, options to work from home at manager's discretion
  • Great PTO and Holiday time-off