ZipRecruiter

Log In

1

Azure Data Engineer Jobs in Spring Hill, TN (NOW HIRING)

Ramsey Solutions

Data Engineer

Nashville, TN

$88K - $120K/yr

Designing, developing, and supporting scalable data pipelines and ETL/ELT processes using modern data engineering tools and technologies. * Developing and maintaining trusted dashboards, reports, and ...

NLB Services

Senior Software Engineer

Franklin, TN · On-site

$121K - $159K/yr

... azure data factory (Mandatory) Preferred : • Analytics • Client Communications • Data Warehouse • Power BI • SnowflakeDB • Good to have experience in Azure Synapse Analytics Company : NLB ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Capgemini

Lead Data Engineer - GCP

Nashville, TN · On-site

$130 - $170/hr

About the job you're considering We are seeking a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, develop, and optimize enterprise-scale data ...

Posted today

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... Azure or AWS (advanced scope may align to 2+ years) * 1+ years experience with CI/CD tools and ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Now Brewing - Data Engineers sr #tobeapartner From the beginning, Starbucks set out to be a ... Azure or AWS (advanced scope may align to 2+ years) * 1+ years experience with CI/CD tools and ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Pipeline and Solutions Engineering - Pipeline Design: * Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data Pipeline and Solutions Engineering - Pipeline Design: * Leverages advanced knowledge of ETL processes to design, develop, and optimize automated, scalable, and efficient data pipeline ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

The Role The AI Engineer is a member of a highly motivated CAA Tech team responsible for accelerating the creation of opportunity through the strategic use of data. In this role, you will design and ...

Oracle Corporation

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Oracle

Principal Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

Oracle

Principal Data Engineer

Nashville, TN

$110K - $132K/yr

As a Data Engineer at Oracle OCI, you will play a crucial role in providing data-driven decision support and analysis for OCI's largest products and programs. This is a position that offers an ...

previous page

Showing results 41-60

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Spring Hill, TN

Azure Data Engineer information

See Spring Hill, TN salary details

$41.8K

$122K

$166.9K

How much do azure data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for azure data engineer in Spring Hill, TN is $121,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $129,300.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What cities near Spring Hill, TN are hiring for Azure Data Engineer jobs?

Cities near Spring Hill, TN with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Spring Hill, TN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,972 per year, or $58.6 per hour.

Lead Data Engineer - Healthcare Data & Audience Applications

Zeta Global

Nashville, TN • On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 24 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 Lead Data Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows.
This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability.
The ideal candidate brings strong system design depth, experience building data-intensive platforms, and the ability to lead through architecture and execution in regulated environments.
What You'll Build
  • Applications supporting HCP and patient / direct-to-consumer (DTC) audience discovery, segmentation, and activation
  • Scalable data pipelines for ingestion, normalization, and enrichment of healthcare datasets
  • Identity resolution and data linkage services across fragmented data sources
  • Reporting, attribution, and measurement systems connecting campaigns to outcomes
  • APIs and services enabling downstream activation, analytics, and partner integrations
  • Healthcare Cloud and data-mapping architecture across claims/Rx, NPI/HCP, patient, media-exposure, brand, and connector datasets.
  • Healthcare-specific semantic cubes, governed views, data contracts, and domain APIs consumed by Vertical Apps; front-end applications should consume stable domain APIs rather than query raw stores or Cube directly.
  • Identity resolution, match-rate measurement, medical-code mapping, and approved joins under CERT/HIPAA rules.
  • Foundational data products for NPI onboarding, PLD reporting, script reporting, HCP/Patient intelligence, journeys, and Next Best Action.

Key Responsibilities
  • Define and maintain the healthcare data architecture, interface contracts, ADRs, schemas, and staged delivery plan.
  • Lead ingestion and transformation patterns across Snowflake, Athena/S3, MySQL, and approved healthcare stores without duplicating shared platform capabilities.
  • Partner with Data Cloud on source certification, partner-feed contracts, identity validation, raw-zone ownership, and data availability SLAs.
  • Design healthcare base/vertical models and published/governed views, with row/member-level controls, account scoping, masking, and backward-compatible versioning.
  • Set SLOs and operational readiness criteria; ensure dashboards, alerts, runbooks, rollback paths, and incident ownership are in place before release.
  • Lead design and code reviews, mentor the Senior Data Engineer, and coordinate dependencies across the pod.
  • Support compliance evidence, annual audits, US data-residency controls, and stoplight decisions: Start, Stop, or Requires CERT.
  • Apply privacy-by-design principles across all systems handling PHI/PII
  • Partner with Product and Data teams to translate healthcare requirements into scalable architectures
  • Drive engineering best practices across testing, CI/CD, code quality, and operational excellence

Engineering Expectations
  • Strong experience designing distributed systems, including microservices and event-driven architectures
  • Deep understanding of data modeling, storage systems (OLTP and OLAP), and data-processing frameworks
  • Experience with streaming and batch processing technologies, such as Kafka, Spark, Flink, or similar tools
  • Proficiency in backend development using Python, Java, or Ruby, as well as API design using REST or gRPC
  • Experience with workflow orchestration tools, such as Apache Airflow
  • Experience working with data warehouses and lakehouse platforms, such as Snowflake, Databricks, or similar technologies
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code
  • Familiarity with containerization and orchestration technologies, including Docker and Kubernetes
  • Experience implementing observability practices, including logging, metrics, and tracing, as well as reliability patterns
  • Strong understanding of performance optimization and scalability trade-offs

Healthcare & Domain Expectations
  • Experience working with HCP data (provider identity, targeting, segmentation)
  • Experience with patient / DTC data workflows and privacy-aware systems
  • Understanding of healthcare data ecosystems (claims, provider, or audience datasets)
  • Familiarity with identity graphs and data onboarding patterns
  • Experience building reporting or attribution systems tied to business outcomes
  • Strong grasp of HIPAA, PHI/PII, and regulated data handling requirements
  • Technical standards for lineage, data quality, access control, masking, retention, auditability, observability, and cost.

Qualifications
  • 8+ years of data engineering experience with increasing technical ownership
  • Expert SQL and strong Python, Java; experience with batch and streaming patterns, orchestration, testing, and schema evolution.
  • Proven track record of building and scaling data-intensive or distributed systems
  • Experience working in regulated environments (healthcare strongly preferred)
  • Strong system design and architecture skills
  • Ability to lead technically while remaining hands-on in implementation
  • Strong collaboration skills across engineering, product, and data teams

Preferred
  • Experience with healthcare data providers or identity ecosystems
  • Background in AdTech, MarTech, or audience/data platforms
  • Experience with privacy-enhancing technologies (tokenization, clean rooms)
  • Exposure to ML/AI-driven data products or analytics systems

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 $180,000 - $200,000, 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
#LI-TS1

Apply