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Data Engineer Jobs in Springfield, TN (NOW HIRING)

Senior Data Engineer

Nashville, TN · On-site

$47 - $59/hr

The engineers will work closely with business and technical stakeholders to streamline data processes, improve data quality, and support system consolidation efforts. Responsibilities include data ...

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Senior Data Engineer

Nashville, TN

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data Analytics team. This team develops the trusted data foundation, reporting platforms, self-service ...

Senior Data Engineer

Nashville, TN

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data Analytics team. This team develops the trusted data foundation, reporting platforms, self-service ...

Senior Data Engineer

Nashville, TN

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data Analytics team. This team develops the trusted data foundation, reporting platforms, self-service ...

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug advanced data solutions that are scalable, efficient, cost effective ...

Showing results 21-40

Data Engineer information

See Springfield, TN salary details

$42K

$122.5K

$167.6K

How much do data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer in Springfield, TN is $122,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $129,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.

What are the most commonly searched types of Data Engineer jobs in Springfield, TN?

The most popular types of Data Engineer jobs in Springfield, TN are:

What cities near Springfield, TN are hiring for Data Engineer jobs?

Cities near Springfield, TN with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Springfield, TN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,502 per year, or $58.9 per hour.

Senior Oracle Data Engineer - Onsite

NTT DATA Services

Nashville, TN

$102K - $171K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

117th of 223 rated it services


Job description

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 Senior Oracle Data Engineer - Onsite to join our team in Nashville, Tennessee (US-TN), United States (US).

We are seeking a Senior Oracle Data Engineer to design, build, and support enterprise data solutions that power critical business applications and analytics. In this role, you'll develop scalable ETL pipelines, optimize Oracle databases, automate data workflows, and collaborate with cross-functional teams on data integration and modernization initiatives.

If you're passionate about data engineering, performance optimization, automation, and cloud transformation, we'd love to hear from you.

 

Job Responsibilities Include: 

  • Design, develop, and maintain complex Oracle SQL and PL/SQL solutions, including stored procedures, packages, functions, and triggers.
  • Build, enhance, and support ETL workflows using Informatica PowerCenter.
  • Develop automation solutions using Python and Unix Shell scripting.
  • Implement source code management and CI/CD best practices using GitHub, GitOps, and Jenkins.
  • Manage and monitor batch processing using Control-M and AutoSys.
  • Optimize Oracle databases for performance, scalability, and reliability.
  • Support reporting and analytics by delivering high-quality datasets for OBIEE/OAS and other BI platforms.
  • Collaborate with business users, architects, and application teams to deliver scalable data solutions.
  • Troubleshoot ETL, database, and production data issues while ensuring data quality and integrity.
  • Create and maintain technical documentation, including ETL mappings, data flows, deployment procedures, and operational documentation.
  • Participate in code reviews, data architecture discussions, and continuous improvement initiatives.
  • Support data migration, modernization, and cloud transformation projects while ensuring compliance with security and data governance standards.

 

Basic Qualifications

  • 5+ years of experience developing complex Oracle SQL queries and PL/SQL (packages, stored procedures, functions, and triggers).
  • 5+ years of hands-on experience with Informatica PowerCenter.
  • 5+ years of experience with Python and Unix Shell scripting in a data engineering environment.
  • 6+ years of experience working with Oracle Database, including performance tuning and optimization.

Preferred Experience:

  • Strong understanding of data warehousingdimensional modeling, and ETL best practices.
  • Experience building scalable data integration solutions across both cloud and on-premises environments.
  • Experience with enterprise scheduling tools such as Control-M and AutoSys.
  • Experience using GitHubGitOps, and Jenkins for source control and deployment automation.
  • Experience supporting business intelligence platforms such as OBIEE/OAS.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills with both technical and business stakeholders.
  • Experience with cloud data platforms and modernization initiatives.
  • Knowledge of data governance, security, and regulatory best practices.
  • Experience working in Agile development environments.

 

What You'll Bring

  • A passion for building scalable, high-performance data solutions.
  • Strong expertise in Oracle database development and ETL engineering.
  • A continuous improvement mindset with a focus on automation and operational excellence.
  • The ability to deliver reliable, high-quality data solutions in a fast-paced enterprise environment.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $102,675 - $171,125 per annum. Actual compensation will depend on a number of factors, including the candidate’s 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.

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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

Sourced by ZipRecruiter

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