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Remote Data Engineering Jobs in Tennessee (NOW HIRING)

Cigna

Software Engineering Advisor - eviCore

Franklin, TN · Remote

$113K - $135K/yr

Drive data innovation that powers smarter healthcare decisions. As a Software Engineering Advisor, you will play a critical role in building and optimizing scalable data solutions that enable ...

Humana

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

Humana

Senior Applied AI Engineer

Nashville, TN · On-site +1

$100K - $138K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

New

JLL

Engineering Manager

Nashville, TN · On-site +1

Manage the on account service center, security, data management and EHS managers and teams Actively ... Remote + up to 25% travel This position does not provide visa sponsorship. Candidates must be ...

Tithely

Senior Product Analyst

Nashville, TN · On-site +1

$120K - $140K/yr

Remote - USA Reporting To: Principal Data Scientist Compensation: $120,000 - $140,000 / year ... Collaborate with Engineering, Product, and Design during feature discovery to define tracking ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Tennessee

Remote Data Engineering information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do remote data engineering jobs pay per year?

As of Jul 12, 2026, the average yearly pay for remote data engineering in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools 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.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Tennessee? The most popular types of Data Engineering jobs in Tennessee are:
What are popular job titles related to Remote Data Engineering jobs in Tennessee? For Remote Data Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Tennessee look for? The top searched job categories for Remote Data Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Data Engineering jobs? Cities in Tennessee with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Software Engineer IV - Data Platforms (Memphis, TN or Remote in USA)

Software Engineer IV - Data Platforms (Memphis, TN or Remote in USA)

American Lebanese Syrian Associated Charities

Memphis, TN • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

AtALSACyou do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.
Job Description

As a Software Engineer IV on the BIDE platform, you'll serve as a technical leader for the systems that power ALSAC's enterprise analytics ecosystem. This role offers true endtoend ownership-from architectural design through production stability-on a missioncritical BI platform that supports decisionmaking at scale.

You will lead the design, build, and evolution of complex, highscale data and software systems while partnering closely with Enterprise Architecture, Product, and Engineering teams. This role is ideal for someone who thrives on technical authority, architectural influence, and operational excellence, and who enjoys balancing delivery, reliability, and longterm platform health.

What You'll DoTechnical Leadership & Architecture
  • Serve as the technical authority for platformlevel systems, owning architecture, data flows, and technical standards across products.
  • Design, build, and maintain robust technical processes spanning multiple technologies, programming languages, and database structures.
  • Partner closely with Enterprise Architects to ensure alignment between architecture standards, technical solutions, and business outcomes.
  • Lead technical design reviews and make informed tradeoff decisions balancing speed, performance, reliability, data integrity, and maintainability.
Portfolio Ownership & Prioritization
  • Own technical oversight for a portfolio of products and services, helping prioritize work across competing demands including delivery commitments, production support, technical debt, and platform modernization.
  • Influence where engineering effort is invested to maximize organizational value.
EndtoEnd Ownership & Operational Excellence
  • Be accountable for production readiness, system reliability, and incident prevention across portfolio systems.
  • Establish and enforce standards for monitoring, alerting, resiliency patterns, runbooks, and postincident reviews.
  • Drive continuous improvement in platform stability, observability, and operational maturity.
Delivery & Execution
  • Plan, architect, and lead largescale technical initiatives, upgrades, and implementations.
  • Collaborate with business leaders, product teams, and engineering managers to align technical execution with business priorities.
  • Introduce and evaluate modern tools and emerging technologies that improve platform capability and sustainability.
Mentorship & Collaboration
  • Act as a technical lead and mentor to Software Engineers I-III through coaching, design guidance, code reviews, and pair programming.
  • Support team growth by promoting best practices across the full Software Development Life Cycle (SDLC).
Required Qualifications
  • 8+ years of experience in software engineering, systems development, and largescale technical design.
  • Proven experience designing and supporting enterprisescale data platforms in both onprem and cloud environments.
  • Deep expertise in SQL Server / database engineering, including performance tuning, reliability, and troubleshooting longrunning or blocking workloads.
  • Strong understanding of enterprise data ingestion patterns using SQL, APIs, and cloudbased platforms (AWS), with awareness of downstream analytics and warehouse impacts.
  • Experience with modern data ingestion and transformation tools (e.g., CData, dbt, or equivalent), with a focus on production ownership and maintainability.
  • Working knowledge of SQL Server replication technologies, including Microsoft Replication and Change Data Capture (CDC).
  • Strong skills in process modeling, data modeling, database design, and technical specification creation.
  • Excellent communication, organization, and planning skills; able to manage multiple priorities with minimal supervision.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field (or equivalent experience).
  • Handson experience with containerization supporting data engineering or AI/ML workloads.
  • Exposure to cloudnative architectures supporting scalable, reliable data pipelines.
  • Experience with project planning, technical roadmapping, and deployment strategies.
Benefits & PerksThe following Benefits & Perks apply to Full-Time Roles Only.We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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