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Manager Data Engineering Jobs in Tennessee (NOW HIRING)

Data Engineer III

Memphis, TN

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon ... Knowledge of database design principles and experience with database management systems.

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Project Manager - Data Center

Kingsport, TN · On-site

$114K/yr

... engineering, procurement, and field teams • Serve as primary client contact • Lead project ... management experience • Proven data center or mission-critical project experience • Strong ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

This approach helps self-insured employers provide care management that enables health plan ... Familiarity with CI/CD practices for data engineering and ETL workloads * Experience supporting ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... in data architecture development and data modeling - Implementing data pipeline and data ...

Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, Operational systems, web analytics, and third-party datasets for analysis * Research and implement ...

Senior Data Engineer

Harriman, TN · On-site

$95K - $129K/yr

Experience with cloud data platforms and modern data engineering tools. * Strong understanding of data governance, security, and quality management. Please note that marijuana remains a Schedule III ...

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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 Jul 17, 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 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:
Data Engineer III

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Why Stifel

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let's talk about how you can find your place here at Stifel, where success meets success.

What You'll Be Doing

The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.

What We're Looking For
  • Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
  • Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
  • Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
  • Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.
What You'll Bring
  • Proficient in programming languages such as Python and SQL for database querying and manipulation.
  • Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.
  • Knowledge of database design principles and experience with database management systems.
  • Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
  • Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
  • Skilled at integrating disparate data sources and ensuring data quality and consistency.
  • Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
  • Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
  • Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
  • Ability to analyze complex data sets, identify patterns, and derive actionable insights.
  • Awareness of data governance practices, data privacy regulations, and security protocols is crucial.
  • Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
Education & Experience
  • Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
  • Minimum Required: 7+ years of post-bachelor progressive experience in data engineering.
Licenses & Credentials
  • Minimum Required: None.
Systems & Technology
  • Proficient in the following computer languages:
    • Python
    • SQL
  • AWS technologies to include:
    • Glue
    • S3
    • Redshift
    • Lambda
    • Lake Formation
    • DataZone

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About Stifel

Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients' money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let's talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.

Employment Type: FULL_TIME

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