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Data Engineer Jobs in Spring Hill, TN (NOW HIRING)

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Data Engineer

Brentwood, TN

$108K - $130K/yr

OPPORTUNITY We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack.

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available for analytics, reporting, and data science. A Day in the Life: * Design, build, and maintain data ...

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available for analytics, reporting, and data science. A Day in the Life: * Design, build, and maintain data ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

OCI Strategic Customer Engineering is seeking a highly experienced Principal Data Engineer with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role is ideal ...

Oracle

Principal Data Engineer

Nashville, TN

OCI Strategic Customer Engineering is seeking a highly experienced Principal Data Engineer with deep expertise in Data Engineering, Business Intelligence, and Analytics Platforms. This role is ideal ...

Vaco by Highspring

Tuva Data Engineer

Nashville, TN · On-site

$75/hr

As we continue to expand our reporting and analytics capabilities, we''re looking for a Data Engineer who can help us build scalable data pipelines, improve data quality, and create a strong ...

Pwc

Data Engineer - Manager

Nashville, TN

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a ...

Pwc

Data Engineer - Senior Manager

Nashville, TN

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

DPR Construction

PCA Data Engineer

Nashville, TN

$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. In this role, you will be aligned with a specific ...

HCA Healthcare

Staff Data Engineer

Franklin, TN · On-site

As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

Honest Health

Sr. Data Engineer

Nashville, TN

$115K - $136K/yr

Your Role The Sr. Data Engineer will be an integral member of the IT organization at Honest which ultimately will strive to help those organizations by creating new solutions and integrating with ...

Pwc

Data Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

AllianceBernstein LP

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL who thrives on ingesting and transforming data from diverse sources, ensuring it is optimized for ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

The Role The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and ...

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All JobsData Engineer JobsData Engineer Jobs in Spring Hill, TN

Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data engineer in Spring Hill, TN is $121,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 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 are the most commonly searched types of Data Engineer jobs in Spring Hill, TN? The most popular types of Data Engineer jobs in Spring Hill, TN are:
What are popular job titles related to Data Engineer jobs in Spring Hill, TN? For Data Engineer jobs in Spring Hill, TN, the most frequently searched job titles are:
What cities near Spring Hill, TN are hiring for Data Engineer jobs? Cities near Spring Hill, TN with the most Data Engineer job openings:
Data Engineer jobs near you
Data Engineer

Data Engineer

Career Search

Brentwood, TN

$108K - $130K/yr

Full-time

Re-posted 11 days ago

Job description

OPPORTUNITY

We are seeking an experienced Data Engineer with 2-3+ years of hands-on experience to design, build, and maintain robust data solutions within our Azure/Microsoft-centric technology stack. The ideal candidate will thrive in a collaborative yet independent work environment, delivering high-quality analytics solutions that drive business insights and decision-making.

SCOPE OF WORK

  • Design and implement scalable data models and pipelines using modern data engineering practices
  • Develop and maintain production-grade analytics solutions within Azure ecosystem
  • Build comprehensive dashboards and reports using Power BI to support business stakeholders
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Optimize SQL queries and data processing workflows for performance and reliability
  • Support and enhance existing data infrastructure while implementing new analytics capabilities
  • Participate in code reviews and maintain high standards for data quality and documentation
  • Respond quickly to critical data issues and provide solutions under tight deadlines

IDEAL CANDIDATE PROFILE

Required Qualifications

  • 2-3+ years of experience in analytics engineering, data engineering, or similar role
  • Advanced SQL proficiency with experience in complex query optimization and database design
  • Python programming skills for data manipulation, automation, and analytics
  • Power BI expertise including dashboard development, DAX, and data visualization best practices
  • Azure cloud platform experience including Azure Data Factory, Azure SQL, and related services
  • Data modeling experience with dimensional modeling, star/snowflake schemas, and ETL/ELT processes
  • Production environment experience including deployment, monitoring, and maintenance of data systems
  • Strong communication skills with ability to explain technical concepts to non-technical stakeholders
  • Proven ability to work independently and manage multiple priorities effectively
  • Experience working under pressure with quick turnaround requirements

Preferred Qualifications

  • Snowflake and/or Databricks experience with modern cloud data platforms
  • Private equity or financial services background - understanding of investment data, portfolio management, or financial reporting
  • Machine Learning experience including model development, deployment, or MLOps practices
  • Experience with additional Azure services (Synapse, Logic Apps, Power Platform)
  • Knowledge of data governance and compliance frameworks
  • Experience with version control (Git) and CI/CD practices
  • Advanced Python libraries experience (pandas, scikit-learn, etc.)

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