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Data Engineer Manager Jobs in Tennessee (NOW HIRING)

U.S. Xpress, Inc.

Engineer, Data II

Chattanooga, TN · On-site

$82K - $103K/yr

Engineer, Data II USX HEADQUARTERS 08:00-17:00 Position open to remote: Yes Grade: ES15 ... managing change • Works quickly and efficiently. Able to test solutions, learn, and iterate ...

Mars

Site IE Data Engineer

Lebanon, TN · On-site

Site IE Data Engineer Industrial Engineer T1 Lebanon, TN The Site IE data engineer will partner ... management. He/she will be responsible for all data reporting and 1st level analysis related to ...

Mars, Incorporated

Site IE Data Engineer

Lebanon, TN · On-site

Site IE Data Engineer Industrial Engineer T1 Lebanon, TN The Site IE data engineer will partner ... management. He/she will be responsible for all data reporting and 1st level analysis related to ...

Pwc

Data Governance- Manager

Nashville, TN

$99K - $232K/yr

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

Pwc

Data Engineer - Senior Associate

Nashville, TN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

NGA AI Engineer Manager

Nashville, TN

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

DPR Construction

Data Engineering Lead- Finance

Nashville, TN · On-site

$110K - $132K/yr

Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with ...

Revecore

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

For over 25 years,Revecorehas been at the forefront of specialized claims management, helping ... The Senior Data Engineer will join the Technology function, solving complex data problems for the ...

SL Tennessee

Manufacturing Engineer Manager

Clinton, TN · On-site

$90K - $111K/yr

... data. II-2-3. Process Optimization & Continuous Improvement - Drive continuous improvement ... managing engineering teams and manufacturing projects. * Education * Bachelor's Degree in ...

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All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Tennessee

Data Engineer Manager information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do data engineer manager jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data engineer manager 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.

What are some typical challenges a Data Engineer Manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What engineers make 200,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $200,000 or more annually, especially in high-demand industries or large organizations. These roles typically require advanced skills in data architecture, cloud platforms, and leadership, along with several years of experience.

What engineers make 300,000 a year?

Senior data engineer managers and experienced data engineering leaders often earn $300,000 or more annually, especially in high-cost-of-living areas or within large tech companies. These roles typically require advanced skills in cloud platforms, data architecture, and leadership, along with extensive industry experience and relevant certifications.

What does a data engineer manager do?

A data engineer manager oversees teams responsible for designing, building, and maintaining data pipelines and infrastructure. They coordinate data collection, storage, and processing efforts, often using tools like SQL, Hadoop, or Spark, and ensure data quality and security while aligning projects with organizational goals.

What are the key skills and qualifications needed to thrive in the Data Engineer Manager position, and why are they important?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a Data Engineer Manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, performance bonuses, and stock options in large organizations or tech companies.
What are the most commonly searched types of Data Engineer jobs in Tennessee? The most popular types of Data Engineer jobs in Tennessee are:
What are popular job titles related to Data Engineer Manager jobs in Tennessee? For Data Engineer Manager jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Engineer Manager jobs in Tennessee look for? The top searched job categories for Data Engineer Manager jobs in Tennessee are:
What cities in Tennessee are hiring for Data Engineer Manager jobs? Cities in Tennessee with the most Data Engineer Manager job openings:
Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $117,733 per year, or $56.6 per hour.

GCP Data Engineer

Futran Tech Solutions Pvt. Ltd.

Nashville, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

GCP Data Engineers.
Location - Nashville TN ( Onsite)
Overview
We are seeking an experienced Google Cloud Platform (GCP) Data Architect to design, build, and manage scalable, secure, and cost-optimized data solutions, aligned with reporting needs. This role involves translating business requirements into robust technical architectures, ensuring data integrity, and enabling advanced analytics through GCP services like BigQuery and Cloud Storage. The ideal candidate will lead strategy, design, and implementation efforts while collaborating with stakeholders to drive data-driven decision-making.
Key Responsibilities:
  • Architect Scalable Data Solutions: Design and implement data warehouses, marts, lakes, and batch and/or real-time streaming pipelines using GCP-native tools.
  • Data Modeling & Integration: Design and Develop conformed data models (star/snowflake schemas) and ETL/ELT processes for analytics and BI tools (MicroStrategy, Looker, Power BI).
  • Pipeline Development: Build scalable pipelines and automate data ingestion and transformation workflows using BigQuery, Dataflow , Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, and Cloud Composer for orchestration.
  • Security & Compliance: Implement IAM, encryption, and compliance standards (GDPR, HIPAA) with GCP security tools.
  • Performance Optimization: Apply best practices for partitioning, clustering, and BI Engine to ensure high performance and cost efficiency.
  • DevOps & Automation: Integrate CI/CD pipelines, IaC (Terraform), and containerization (Docker, Kubernetes) for deployment and scalability.
  • Collaboration & Leadership: Engage with stakeholders including leadership, Project Managers, BAs, Engineers, QA, platform teams, mentor teams, and provide technical guidance on best practices.
  • Troubleshooting: Resolve complex technical issues and support incident response.
  • Healthcare Domain Expertise: Ensure compliance with healthcare regulations and stay updated on industry trends.

Required Skills & Working experience:
  • GCP Expertise: BigQuery, Cloud Storage, Dataflow (Apache Beam with python), Dataproc/PySpark, Cloud Functions, Pub/Sub, Kafka, Cloud Composer.
  • Programming: Advanced SQL and Python for analytics and pipeline development.
  • Performance Optimization: Experience with optimization of query performance, partitioning, clustering, and BI Engine, in BigQuery.
  • Automation: Experience with CI/CD for data pipelines, IaC for data services, automation of ETL/ELT processes.
  • Security: Strong knowledge of IAM, encryption, and compliance frameworks.
  • Architecture Design: Ability to create fault-tolerant, highly available, and cost-optimized solutions.
  • Communication: Excellent ability to convey technical concepts to both technical and non-technical stakeholders.
  • Domain Knowledge: Familiarity with healthcare data management and regulatory compliance.

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