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Senior Data Engineer Jobs in Springfield, TN (NOW HIRING)

Deloitte

Lead Forward Deployed Engineer - AWS

Nashville, TN · On-site

$99K - $130K/yr

Work you'll do As an AWS AI&Data FDE, you will work side by side with senior functional and ... Solution Engineering * Build AI-enabled solutions, agentic platforms, and workflows across ...

Deloitte

Senior AI Engineer - SFL Scientific

Nashville, TN

$100K - $138K/yr

Support and enhance data architecture, and data pipelines, and define database schemas (Graph, SQL, NoSQL) to develop algorithm scalability and deployment based on agile business priorities and ...

Metropolis

Senior Analytics Engineer

Nashville, TN · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Springfield, TN

Senior Data Engineer information

See Springfield, TN salary details

$76.5K

$119.3K

$165.3K

How much do senior data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data engineer in Springfield, TN is $119,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are popular job titles related to Senior Data Engineer jobs in Springfield, TN? For Senior Data Engineer jobs in Springfield, TN, the most frequently searched job titles are:
What cities near Springfield, TN are hiring for Senior Data Engineer jobs? Cities near Springfield, TN with the most Senior Data Engineer job openings:
Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Springfield, TN as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $119,303 per year, or $57.4 per hour.

Sr Enterprise Data Engineer - Work from Home

Health Care Service Corporation

Nashville, TN • Remote

$92K - $167K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis position is responsible for designing, building, and maintaining scalable enterprise data platforms, pipelines, and integration solutions that enable analytics, reporting, and data-driven decision making across the organization.
This role partners with business, analytics, architecture, and technology stakeholders to develop robust data engineering solutions, establish data integration frameworks, and ensure the reliability, quality, security, and accessibility of enterprise data assets. The position is responsible for delivering scalable data pipelines, supporting cloud-based data platforms, and implementing best practices for data modeling, governance, orchestration, and operational excellence.

Required Job Qualifications:
* Bachelor degree and 5 years of data and analytics experience OR Technical Certification and/or college courses and 7 years of data and analytics experience OR 9 years of data and analytics experience
* Experience in requirements management and/or prototyping
* Knowledge of system architecture
* Knowledge of big data and analytical technologies
* Knowledge of data processing environments
* Knowledge of Agile project management
* Ability to simplify & standardize complex concepts and/or processes
* Business acumen
* SDLC (systems development life cycle) / Iterative / Agile / Scrum development
* Oral & written communication skills
Preferred Job Qualifications:
* Bachelor Degree in Computer Science, Business Administration, or Information Technology
* Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform
* Experience with data orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies
* Experience building and maintaining enterprise data warehouses, data lakes, and Lakehouse architectures
* Experience with big data technologies such as Spark, Databricks, Hadoop, or similar platforms
* Experience developing data pipelines using Python, SQL, Scala, or Java
* Experience implementing CI/CD practices and Infrastructure as Code for data platforms
* Knowledge of DevOps and DataOps principles
* Experience working with streaming and real-time data processing technologies
* Experience optimizing data performance, scalability, reliability, and monitoring solutions
* Experience working within cross-functional Agile delivery teams
* Experience supporting self-service analytics, business intelligence, and reporting platforms

This is a Work from Home role.
#LI-PD1
#LI-Remote

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$92,700.00 - $167,500.00

Exact compensation may vary based on skills, experience, and location.

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