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Manager Data Engineering Jobs in Tennessee (NOW HIRING)

The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational ...

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Overview The Data Engineering Manager leads the delivery of data platform, integration, and reporting initiatives while overseeing the infrastructure that supports them. This role translates business ...

How you make a difference The Data Engineering Manager leads the delivery of data platform, integration, and reporting initiatives while overseeing the infrastructure that supports them. This role ...

Built is looking for a Senior Engineering Manager, Data to lead our growing data organization. In this role, you will guide a high-impact group of engineers building the industry's first holistic ...

Data Engineering Lead- Finance

Nashville, TN ยท On-site

$110K - $132K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust ... Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data engineering at PwC, you will focus on designing and building data infrastructure and ...

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Showing results 1-20

Manager Data Engineering information

See Tennessee salary details

$28.1K

$88.2K

$156.1K

How much do manager data engineering jobs pay per year?

As of Aug 24, 2026, the average yearly pay for manager data engineering in Tennessee is $88,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $113,900.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

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 Manager Data Engineering jobs in Tennessee?

For Manager Data Engineering jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Tennessee look for?

The top searched job categories for Manager Data Engineering jobs in Tennessee are:

What cities in Tennessee are hiring for Manager Data Engineering jobs?

Cities in Tennessee with the most Manager Data Engineering job openings:

Infographic showing various Manager Data Engineering job openings in Tennessee as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $88,170 per year, or $42.4 per hour.

Manager, Data Engineering

Unum UK

Chattanooga, TN โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Job Posting End Date: September 03

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:

Our Finance Data Modernization team is seeking a Manager, Data Engineering. The Manager, Data Engineering leads a team responsible for designing and delivering scalable data pipelines, warehouse solutions, and governed data assets that support Finance analytics, operational reporting, and strategic business decision-making. This role partners closely with business and technology stakeholders to translate requirements into practical data solutions, drive consistency across a large portfolio of initiatives, and ensure smooth coordination from intake through implementation and operational support. The position provides technical leadership, advances modern data engineering practices, and champions the adoption of AI and agentic development processes to accelerate delivery while maintaining high standards for quality, governance, and business value. As a newly created leadership role, this position is critical to building consistency, scalability, and operational excellence across the Data Engineering function.

We are looking for Candidates in Chattanooga, TN or Portland, ME.

Principal Duties and Responsibilities

  • Lead execution of the team's data strategy, providing direction on tools, methodologies, delivery practices, and engineering standards that support consistent and scalable outcomes.
  • Oversee the planning, estimation, prioritization, and on-time delivery of data engineering initiatives, including setting clear expectations with business and technical stakeholders.
  • Guide the design, development, and implementation of data pipelines, analytical databases, and analytics workflows that support operational reporting, Finance analytics, and business performance objectives.
  • Partner with business areas to translate needs into technical plans, identify required data sources, communicate findings, and develop practical implementation approaches aligned to corporate policies, procedures, controls, and compliance requirements.
  • Advance the team's use of AI and agentic development practices to accelerate developer throughput, improve delivery efficiency, and establish appropriate standards for prompt engineering, responsible usage, and team upskilling.
  • Evaluate current and emerging data engineering, analytics, and AI methods to recommend continuous improvement opportunities and strengthen the team's technical capabilities.
  • Recruit, train, coach, develop, and retain staff, including performance management and mentoring to build technical depth, delivery discipline, and effective use of modern data tools.
  • Perform other related duties as assigned.

Job Specifications

Required Qualifications

  • Minimum of 5 years of hands-on experience in data engineering, business intelligence, data science, or a closely related discipline, with demonstrated ability to deliver scalable data and analytics solutions.

Preferred Qualifications

  • Bachelor's degree in Information Technology, Mathematics, Statistics, Computer Science, Data Analytics, or a related field preferred.
  • Prior leadership, people management, or technical team leadership experience preferred.

Technical Skills

  • Experience with Data Build Tool (DBT Core or Platform) to support data transformation, modeling, testing, documentation, and governed pipeline development.
  • Experience with analytics programming languages, including SQL/Python, for data extraction, transformation, analysis, automation, and pipeline development.
  • Experience with modern BI toolsets, including Tableau, Alteryx, PowerBI, or equivalent platforms, to support analytics, visualization, workflow automation, and business reporting needs.
  • Strong understanding of data profiling, statistical analysis, data modeling, data architecture, and related infrastructure concepts across on-premises and cloud-based environments.
  • Demonstrated ability to extract, load, integrate, and leverage data across data warehouses, transactional databases, object stores, APIs, and other enterprise data environments.
  • Strong problem-solving, programming, prioritization, and project management skills, with the ability to manage ambiguity and make thoughtful recommendations.
  • Ability to interpret complex technical and analytical information, decompose problems, and translate findings into practical business solutions for stakeholders at multiple levels.
  • Excellent communication, collaboration, coaching, and mentoring skills, including the ability to develop technical talent and work effectively with business partners, technical teams, senior leaders, and external contacts.

#LI-AS3

~IN1

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$89,400.00-$183,500.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum