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Data Engineer Jobs in Springfield, TN (NOW HIRING)

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN (Hybrid - Monthly onsite mandatory) Requirements: * 3+ years Snowflake development * 5+ years SQL * Strong ...

CereCore

HPG Big Data Engineer / Senior-Level

Nashville, TN · On-site

$53.75 - $71.25/hr

Data Engineer / Senior-Level The Data Engineer / Senior-Level will be part of the team in Nashville, TN. The Senior Data Engineer serves as a primary development resource for design, build ...

Conflux Systems

Data Engineer with GCP

Nashville, TN · On-site

$60/hr

Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work: No rate :-USD $60/hr. Location : Nashville. Requirements: • Bachelor's degree in computer ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

DPR Construction

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 ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also ...

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

Data Governance- Manager

Nashville, TN · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Pwc

GenAI Python Systems Engineer-Manager

Nashville, TN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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All JobsData Engineer JobsData Engineer Jobs in Springfield, TN

Data Engineer information

See Springfield, TN salary details

$42K

$122.5K

$167.6K

How much do data engineer jobs pay per year?

As of Jul 2, 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.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What cities near Springfield, TN are hiring for Data Engineer jobs? Cities near Springfield, TN with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Springfield, TN as of June 2026, with employment types broken down into 2% As Needed, 88% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,502 per year, or $58.9 per hour.
Snowflake Data Engineer (AWS)

Snowflake Data Engineer (AWS)

Eitacies Inc

Nashville, TN • Remote

$110K - $132K/yr

Full-time

Retirement

Posted 2 days ago

Job description

Benefits:
  • 401(k)

Snowflake Data Engineer (AWS Environment)
Only TN residents
Nashville, TN (Hybrid - Monthly onsite mandatory)
Requirements:
  • 3+ years Snowflake development
  • 5+ years SQL
  • Strong experience in ETL, Data Modeling, Data Warehousing
  • Hands-on with AWS Cloud environment
  • Experience with SSIS / Data Integration tools
  • Scripting experience: Python / PowerShell
  • Experience with API integrations (RESTful)
  • Strong in data ingestion, transformation, validation
Plus:
  • Healthcare / Public Health data experience
  • SSAS / SSMS exposure
  • BI / Analytics experience
Responsibilities:
  • Build and optimize Snowflake data pipelines
  • Handle data ingestion from multiple sources
  • Ensure data quality, integrity and performance
  • Work with cross-functional teams on data onboarding

This is a remote position.