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

Senior Software Engineer

Brentwood, TN · Remote

$91K - $163K/yr

Design, build, and operate scalable data engineering platforms using modern ETL/ELT frameworks, including Azure Data Factory, Delta Lake, and cloud-native pipelines * Architect modular, reusable data ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Remote (U.S.) About Our Client Our client builds software that powers mission-critical construction ... data accuracy. This team values pragmatic builders who can ship, iterate, and improve legacy ...

Remote (U.S.) About Our Client Our client builds software that powers mission-critical construction ... data accuracy. This team values pragmatic builders who can ship, iterate, and improve legacy ...

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Government Contract Mandates and access to sensitive public safety data. * Experience with ...

Data Analysis and Reporting: Collect, analyze, and interpret test data, using statistical tools to ... This role is remote and involves working onsite during testing. Hands-on testing may require ...

Staff Engineer

Nashville, TN · On-site +1

$65K - $110K/yr

... of data analysis and statistical tools to support engineering decision-making. Benefits ... remote work options. - Generous paid time off and holiday schedule.

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Remote Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do remote data engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote 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.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools 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 certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 Remote Data Engineer jobs in Spring Hill, TN? For Remote Data Engineer jobs in Spring Hill, TN, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Spring Hill, TN look for? The top searched job categories for Remote Data Engineer jobs in Spring Hill, TN are:
What cities near Spring Hill, TN are hiring for Remote Data Engineer jobs? Cities near Spring Hill, TN with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Spring Hill, TN as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,972 per year, or $58.6 per hour.
Senior Manager, Data Engineering

Senior Manager, Data Engineering

Owens & Minor

Nashville, TN • On-site, Remote

$140K - $155K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 23 days ago


Owens & Minor rating

6.5

Company rating: 6.5 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

271st of 345 rated logistics


Job description

Owens & Minoris a global healthcare solutions company providing essential products, services and technology solutions that support care delivery in leading hospitals, healthsystemsand research centers around the world. For over140years, Owens & Minor has delivered comfort and confidence behind thescenes,so healthcare stays at the forefront, helping to make each day better for thehospitals,healthcare partners, and communities we serve. Powered by more than 14,000 teammates worldwide, Owens & Minor exists because every day, everywhere,Life Takes Care.

Global Reach with a Local Touch

  • 140+ years serving healthcare

  • Over 14,000 teammates worldwide

  • Serving healthcare partners in 80 countries

  • Manufacturing facilities in the U.S., Honduras, Mexico, Thailand and Ireland

  • 40+ distribution centers

  • Portfolio of 300 propriety and branded product offerings

  • 1,000 branded medical product suppliers

  • 4,000 healthcare partners served

Benefits

  • Comprehensive Healthcare Plan-Medical, dental, and vision plans start on day one of employment for full-time teammates.

  • Educational Assistance-We offer educationalassistanceto all eligible teammates enrolled in an approved, accredited collegiate program.

  • Employer-Paid Life Insurance and Disability-We offer employer-paid life insurance and disabilitycoverage.

  • Voluntary Supplemental Programs- We offer additional options to secure your financial future including supplemental life, hospitalization, critical illness, and other insurance programs.

  • Support for your Growing Family- Adoption assistance, fertility benefits (in medical plan) and parental leave are available for teammates planning for a family.

  • Health Savings Account (HSA)and401(k)-We offer these voluntary financial programs to help teammates prepare for their future, as well as other voluntary benefits.

  • Paid Leave-In addition to sick days and short-term leave, we offer holidays, vacation days, personal days, andadditionaltypes of leave - including parental leave.

  • Well-Being- Also included in our offering is a Teammate Assistance Program (TAP), Calm Health, Cancer Resources Services, and discount programs - all at no cost to you.

  • The anticipated salary range for this position is $140,000-$155,000 USD Annual. The actual compensation offered may vary based on job related factors such as experience, skills, education and location.

The position is accountable for ownership of key data technologies including Snowflake, Power BI, Informatica, and related integration platforms, ensuring scalable, reliable, and cost-effective data solutions across the enterprise. The role is fully remote. Applicants in different states are encouraged to apply.

Key Responsibilities

Leadership & Team Management

- Lead, mentor, and develop a team of data engineers and BI developers

-Establishdelivery standards, performance expectations, and career development plans

-Promote a culture of accountability, innovation, and continuous improvement

-Foster a high-performing engineering culture focused on accountability, delivery excellence, innovation, operational maturity, and continuous improvement

Data Platform Ownership

- Own and manage enterprise data platforms including Snowflake, Informatica, and Power BI

- Ensure platform performance, scalability, reliability, and security

- Drive standardization of data engineering practices, architecture, and delivery frameworks

-Drive modernization of enterprise data architecture, integration patterns, and cloud data capabilities

- Establish scalable DataOps and platform governance practices to improve reliability, observability, and delivery efficiency

Portfolio & Delivery Management

- Manage a large portfolio of data and analytics demand across business functions

- Prioritize initiatives and ensure alignment with strategic objectives

- Design and implement repeatable, scalable solutions to improve speed and consistency of delivery

Roadmap & Financial Management

- Develop andmaintainmulti-year technology roadmaps for data and analytics platforms

- Lead annual budget planning, forecasting, and ongoingfinancial management

-Optimizeplatform costs whilemaintainingservice quality and delivery timelines

Solution Design & Optimization

- Evaluate solution viability including technical feasibility, cost, and long-term sustainability

- Continuously improve platforms to increase delivery velocity and operational efficiency

- Drive modernization initiatives to enhance data architecture and integration capabilities

AI & Self-Service Enablement

- Expand AI-enabled services and capabilities within the data platform ecosystem

- Enhance business self-service analytics through governed datasets and reporting frameworks

- Increase adoption of scalable, reusable data products across the organization

Stakeholder Collaboration

- Build strong partnerships across IT (Infrastructure, Applications, Security) and business units

- Translate business requirements into technical solutions aligned with enterprise standards

- Ensure transparent communication of priorities, progress, risks, and outcomes

Qualifications

Required

-Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)

- 8+ years of experience in data engineering, analytics, or business intelligence

- 3+ years of experience leading technical teams

- Strongexpertisewith modern data platforms (e.g., Snowflake, ETL/ELT tools, Power BI)

- Experience managing multiple concurrent projects and prioritizing competing demands

-Demonstratedexperience developing roadmaps and managing budgets

-Strong communicationand stakeholder management skills

Preferred

- Experience with enterprise data platform modernization and cloud data architectures

- Familiarity with data governance, data quality, and metadata management practices

- Experience implementing self-service analytics frameworks at scale

- Exposure to AI/ML or intelligent automation within data platforms

If you feel this opportunity could be the next step in your career, we encourage you to apply. This position will accept applications on an ongoing basis.

Owens & Minor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, sexual orientation, genetic information, religion, disability, age, status as a veteran, or any other status prohibited by applicable national, federal, state or local law.


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