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Cloud Data Engineer Jobs in Tennessee (NOW HIRING)

Pwc

Data Strategy & Governance -Director

Nashville, TN

$155K - $410K/yr

... cloud data integration patterns - Applying knowledge in big data engineering - Designing advanced analytics solutions and AI/ML models - Supporting business development efforts Travel Requirements Up ...

Pwc

Data Engineer - Senior Manager

Nashville, TN · On-site

$124K - $280K/yr

... in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate ...

Nissan Motor Co., Ltd.

Data Engineer

Franklin, TN · On-site

$113K - $135K/yr

Experience with AWS, and other cloud platforms preferred. Skills & Experience * Programming: Python & SQL * Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow ...

Nissan Motor Manufacturing UK

Data Engineer

Franklin, TN · Hybrid

$113K - $135K/yr

Experience with AWS, and other cloud platforms preferred. Skills & Experience * Programming: Python & SQL * Data platforms (Snowflake, Databricks, BigQuery, Redshift) * ETL/ELT tools (ADF, Airflow ...

Conflux Systems

Data Engineer with GCP

Nashville, TN · On-site

$60/hr

Data Engineers with GCP with experience on data processing using Dataflow and Dataproc. Remote work ... Cloud Run, Cloud Functions, Pub/Sub, Bigtable, Firestore, Cloud SQL, Cloud Spanner, JSON, Avro ...

Ramsey Solutions

Data Engineer

Nashville, TN · On-site

$88K - $120K/yr

You've worked with tools like dbt and cloud data warehouses such as AWS Redshift, and you pick up ... Recommending and implementing best practices for data modeling, analytics engineering, and data ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure ...

Deloitte

Data Engineer II

Hermitage, TN · On-site

$100K - $120K/yr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Deloitte

Data Engineer II

Memphis, TN · On-site

$111K - $133K/yr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

... in the AWS cloud environment. * Work closely with stakeholders to understand their data ... Proficient in programming languages such as Python and SQL for database querying and manipulation.

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

... in the AWS cloud environment. * Work closely with stakeholders to understand their data ... Proficient in programming languages such as Python and SQL for database querying and manipulation.

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and ... in the AWS cloud environment. * Work closely with stakeholders to understand their data ...

Pwc

Data Strategy-Manager

Nashville, TN

$99K - $232K/yr

... cloud data architectures - Knowledge of data warehousing concepts - Familiarity with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced ...

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Cloud Data Engineer information

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How much do cloud data engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for cloud data engineer in Tennessee is $57.08, according to ZipRecruiter salary data. Most workers in this role earn between $48.65 and $65.00 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

What is the difference between Cloud Data Engineer vs Data Analyst?

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are popular job titles related to Cloud Data Engineer jobs in Tennessee?

For Cloud Data Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Tennessee look for?

The top searched job categories for Cloud Data Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Cloud Data Engineer jobs?

Cities in Tennessee with the most Cloud Data Engineer job openings:

Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,718 per year, or $57.1 per hour.

Senior Data Engineer - Healthcare Data & Audience Applications

Zeta Global

Nashville, TN • On-site

$102K - $139K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago

Job description

WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
ROLE OVERVIEW
Zeta Global is seeking a Senior Data Engineer to build reliable, scalable data pipelines and data products for a healthcare vertical. You will be a hands-on engineer who turns complex healthcare and marketing datasets into trusted foundations for audience discovery, segmentation, activation, reporting, and measurement.
Working closely with the engineering and product team, you will help implement the team's data architecture and engineering standards while owning significant parts of the delivery lifecycle. You will contribute to well-designed, production-ready systems-not define the overall architecture or technical roadmap alone.
Key Responsibilities
  • Design, develop, test, deploy, and operate production-grade pipelines for healthcare, identity, audience, media-exposure, and campaign-performance data using Python, SQL, Airflow, S3, Snowflake, and EMR.
  • Implement maintainable data models, transformations, governed views, and reusable datasets for provider identity, claims/Rx, NPI/HCP, media, brand, and connector data.
  • Deliver data products that support HCP and patient/DTC audience discovery, segmentation, activation, measurement, and reporting.
  • Build Airflow workflows with clear dependencies, retries, alerting, data-quality checks, and operational runbooks; use EMR for large-scale enrichment, normalization, and other compute-intensive workloads.
  • Write efficient SQL across Snowflake, Hive, and Athena, adapting to platform-specific syntax and query behavior.
  • Partner with product, analytics, data science, and platform teams to translate business and healthcare requirements into resilient technical solutions.
  • Implement data-quality controls, reconciliation checks, monitoring, alerting, and incident-response practices for critical data products.
  • Support data onboarding and integration for healthcare partners and internal sources, including validation, normalization, and source-to-target mapping.
  • Apply privacy-by-design practices for PHI/PII, including access controls, masking, approved joins, retention, and auditability.
  • Collaborate with the Lead Data Engineer on technical designs, code reviews, documentation, and delivery plans; mentor less-experienced engineers as needed.
  • Troubleshoot production issues and improve pipeline performance, reliability, and observability over time.

Core Technical Environment
  • Data storage & warehouse: Snowflake Native and Amazon S3.
  • Orchestration: Apache Airflow for general pipeline setup and scheduling.
  • Heavy processing: Amazon EMR for targeted, compute-intensive jobs.
  • Programming: Python for Airflow pipelines and supporting data engineering services.
  • Querying: SQL in Snowflake, Hive, and Athena.

Qualifications
  • 5-8 years of hands-on data engineering experience, including ownership of production pipelines and data models, with experience working with healthcare data such as provider/HCP, claims, prescription, patient/DTC, or healthcare audience datasets.
  • Strong Python and expert SQL skills, with demonstrated experience building transformations, optimizing queries, and diagnosing data issues.
  • Hands-on experience with AWS data services, especially S3, and a modern cloud data warehouse; experience with Snowflake, Airflow, and EMR is strongly preferred.
  • Experience with data modeling, schema evolution, batch processing, orchestration, testing, CI/CD, and production support practices.
  • Proven ability to work with large, complex datasets and deliver reliable, well-documented data products.
  • Deep, practical knowledge of HIPAA, PHI/PII handling, privacy-by-design controls, and the operational requirements of regulated healthcare data environments.
  • Experience with AdTech/MarTech, identity resolution, audience onboarding, segmentation, data linkage, media measurement, attribution, or campaign reporting.
  • Ability to balance healthcare privacy constraints with the need for timely, accurate audience and performance insights.
  • Strong collaboration and communication skills across engineering, product, analytics, and business stakeholders.

Preferred
  • Experience with healthcare data providers, identity ecosystems, tokenization, clean rooms, or privacy-enhancing technologies.
  • Experience with data cataloging, lineage, observability, and data-quality frameworks.
  • Experience with Docker, Kubernetes/EKS, infrastructure as code, and cloud deployment workflows.
  • Experience supporting reporting, attribution, or measurement products tied to campaign or business outcomes.
  • Exposure to ML/AI-enabled data products or analytics workflows.

BENEFITS & PERKS
  • Unlimited PTO
  • Excellent medical, dental, and vision coverage
  • Employee Equity
  • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE
The salary range for this role is $140,000 - $160,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
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