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Data Engineer Data Analyst Jobs in Springfield, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... Data Engineers, and Product Owners. * Be responsible for purposeful project documentation ... Analyze data quality and provide recommendations for change. * Drive product fitment analysis ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Job-Specific Minimum Requirements: - Bachelor's degree in Information Systems, Business, Data Analytics, Engineering, or a related field (or equivalent experience). - 4+ years of experience in ...

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Data Engineer Data Analyst information

See Springfield, IL salary details

$33.7K

$81.9K

$134.8K

How much do data engineer data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data engineer data analyst in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

How do Data Engineer Data Analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

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

Legacy Migration Analyst

NTT DATA Services

Springfield, IL • Remote

$101K - $169K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

111th of 208 rated it services


Job description

Req ID: 377183 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Legacy Migration Analyst to join our team in Springfield, Illinois (US-IL), United States (US).

Overview of job:  

NTT DATA is seeking a Legacy Migration Analyst to join the IL PASS Project team to assist the State of Illinois with strategic planning and modernization activities for the Medicaid Enterprise System (MES). The Legacy Migration Analyst will be responsible for overseeing the migration of data and applications from legacy mainframe systems to the new Medicaid Enterprise System (MES). This senior-level position requires a deep understanding of mainframe legacy systems, particularly Mainframe Medicaid Management Information Systems (MMIS), and a proven track record in data migration projects. The ideal candidate will have 8 to 10 years of experience in legacy migration, data analysis, and project management, with a strong focus on ensuring data integrity and compliance throughout the migration process. 

Job Responsibilities Include: 

  • Conduct comprehensive assessments of existing mainframe legacy systems, including data structures, workflows, and applications, to understand migration requirements. 

  • Develop and document detailed migration strategies, including data mapping specifications and transformation processes, to ensure accurate data transfer to the new MES. 

  • Coordinate with cross-functional project teams, including data analysts, developers, and business stakeholders, to facilitate the smooth execution of data migration activities. 

  • Execute data extraction and migration processes, ensuring data quality and integrity through rigorous validation and cleansing procedures. 

  • Monitor and track the progress of migration activities, identifying potential risks and issues, and implementing mitigation strategies as needed. 

  • Conduct testing and validation of migrated data to ensure it meets functional and compliance requirements, and confirm successful integration into the new system. 

  • Prepare and present analytical reports on migration progress, challenges encountered, and recommendations for improvement to stakeholders. 

  • Collaborate with project management to align migration activities with project timelines and milestones, ensuring timely completion of deliverables. 

  • Stay current with industry trends and best practices in data migration and legacy system modernization, providing insights and recommendations for continuous improvement. 

 Required Qualifications: 

  • Bachelor's degree in Computer Science, Information Technology, or a related field. 

  • 5 - 7 years of experience in legacy migration analysis, data management, or project coordination, with a strong focus on mainframe legacy systems or mainframe MMIS. 

  • Experience with Medicaid Management Information Systems (MMIS) and an understanding of Medicaid policies and regulations. 

  • Proven experience in data extraction, transformation, and loading (ETL) processes, with a solid understanding of data mapping and data quality principles. 

  • Strong analytical skills with the ability to assess data quality, identify discrepancies, and implement effective solutions. 

  • Excellent verbal and written communication skills, with the ability to effectively interact with stakeholders at various levels. 

  • Proficiency in data migration tools, databases, and scripting languages relevant to legacy system migrations. 

  • Strong organizational skills and attention to detail, with the ability to manage multiple tasks and prioritize effectively. 

 Preferred Skills: 

  • Certification in data management, data analysis, or a related field (e.g., CDMP, CAPM). 

  • Familiarity with automated migration tools and frameworks that facilitate legacy system transitions. 

  • Ability to conduct training sessions and knowledge-sharing workshops to support team members and stakeholders during the migration process. 

  • Commitment to continuous learning and professional development within the fields of data migration and MES modernization. 

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $101,400 - $169,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. 
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967