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Manager Data Engineering Jobs in Tennessee (NOW HIRING)

Owens & Minor

Senior Manager, Data Engineering

Nashville, TN · On-site +1

$140K - $155K/yr

Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI developers -Establishdelivery standards, performance expectations, and career development ...

Cracker Barrel

Sr Manager Data Engineering

Lebanon, TN · On-site

What You'll Do - You'll Make the Moment Responsible for leading and managing the team designing data centralization/warehouse and architect that supplies information for the entire organization ...

Cracker Barrel

Sr Manager Data Engineering

Lebanon, TN · On-site

What You'll Do - You'll Make the Moment Responsible for leading and managing the team designing data centralization/warehouse and architect that supplies information for the entire organization ...

Pwc

Data Engineer - Manager

Nashville, TN

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 ...

Pwc

Data Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... Developing data architecture and optimization strategies using Snowflake and Databricks ...

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All JobsManager Data Engineering JobsManager Data Engineering Jobs in Tennessee

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 Jun 22, 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 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 key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

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.

What are Manager Data Engineering roles and responsibilities?

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.

How does a Manager of 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 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:
Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 40% In-person, and 60% Remote job distribution, with an average salary of $88,170 per year, or $42.4 per hour.
Manager, Data Engineering Operations

Manager, Data Engineering Operations

OneOncology

Nashville, TN • On-site

Full-time

Posted 5 days ago

OneOncology rating

7.7

Company rating: 7.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.
Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.
Job Description:
The Manager, Data Operations will lead a team that is responsible for the reliability, performance, and scalability of our Databricks-based data platform. In this role, you will own the platform's operational health, lead and direct the team, set technical direction, and partner closely with cross-functional stakeholders and Engineering teams to ensure our data pipelines and infrastructure consistently deliver for the business.
This is a people-leadership role that requires strong technical fluency - you should be comfortable going deep with your engineers when needed while keeping the broader operational picture in focus. Excellent communication, organizational, and prioritization skills are essential.
Responsibilities:
  • Lead, mentor, and develop engineers on the Data Operations team, including hiring, performance management, and career development as needed

  • Set clear goals, deliver regular feedback, and create growth opportunities for each team member

  • Foster a collaborative, high-accountability team culture focused on quality, continuous improvement, and operational efficiency

  • Manage team capacity, workload, and prioritization across competing demands

  • Own incident management and resolution for pipeline failures, cluster issues, and data quality problems, driving thorough root cause analysis and lasting preventative improvements

  • Define and enforce operational standards, runbooks, and on-call practices for the team

  • Manage and maintain Databricks Workflows and job orchestration, ensuring SLAs are consistently met

  • Establish and report on operational KPIs (uptime, pipeline reliability, incident response, cost) to leadership and stakeholders

  • Set technical direction for the data platform in partnership with senior engineering leadership

  • Drive platform reliability, performance, and cost-efficiency initiatives

  • Partner with IT, Security, and Engineering teams on platform architecture, governance, and integration decisions

  • Champion engineering best practices including code review, testing, observability, and documentation

  • Serve as the primary point of contact for data platform operations across the business

  • Communicate operational status, risks, and roadmap clearly to both technical and non-technical audiences

  • Build strong working relationships with downstream consumers, ensuring the platform meets their needs

  • Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.

Required or Preferred Qualifications (specify within):
  • 8+ years of hands-on data engineering experience, with at least 2 years in a leadership or management role

  • Strong hands-on background with SQL development and relational/non-relational databases, including data modeling, schema design, and query optimization

  • Professional experience developing scalable solutions in Python or a similar object-oriented language

  • Proficiency in Databricks, Spark, and Delta tables; experience operating large-scale distributed data processing in production

  • Demonstrated experience operating and monitoring data pipelines at scale, including incident response and on-call leadership

  • Solid understanding of Lakehouse and Medallion architectures

  • Experience with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, or equivalent)

  • Familiarity with Unity Catalog for data governance, access control, and data lineage

  • Proven experience designing and maintaining data integration/ETL pipelines using Azure Data Factory or equivalent

Essential Competencies:
  • Excellent communication and organizational skills, with a track record of conveying technical concepts and operational status to diverse audiences

  • Ability to drive alignment and influence decisions across cross-functional stakeholders

  • Experience hiring, developing, and retaining engineering talent

  • Strong operational ownership mindset with a focus on reliability, scalability, and continuous improvement

  • Leadership ability to set technical direction while balancing business priorities and team execution

  • Effective decision-making and prioritization in fast-paced, production-focused environments

  • Attendance is an essential job function.

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