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Data Innovations Jobs in Tennessee (NOW HIRING)

Software Engineer AI/ML

Nashville, TN

$110K - $132K/yr

We're looking for an AI Engineer to help transform GE Aerospace operational data into production ... innovations that improve decision speed and operational outcomes * Engage domain experts to ensure ...

The SCRA is an essential member of a Development Innovations project team responsible for the ... with data management and site to resolve discrepancies Ensure investigational product ...

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Data Innovations information

See Tennessee salary details

$10

$36

$79

How much do data innovations jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data innovations in Tennessee is $36.65, according to ZipRecruiter salary data. Most workers in this role earn between $18.44 and $49.25 per hour, depending on experience, location, and employer.

What is a data innovation job description?

A data innovation job involves developing and implementing new data-driven solutions to improve business processes, often requiring skills in data analysis, programming, and familiarity with emerging technologies like artificial intelligence and machine learning. The role may include designing innovative data systems, optimizing data workflows, and collaborating with cross-functional teams to leverage data for strategic decision-making.

What is a Data Innovations job?

A Data Innovations job typically involves developing, managing, and optimizing data processes, tools, or systems to improve data quality, accessibility, and insights. Professionals in this role work with data platforms, automation, and analytics to drive innovation and efficiency in business operations. Responsibilities may include data integration, workflow automation, and collaborating with stakeholders to enhance data-driven decision-making.

What are the typical daily responsibilities of someone working in Data Innovations?

Professionals in Data Innovations roles spend their days developing and testing new data models, exploring emerging technologies, and collaborating with cross-functional teams to solve unique business challenges. They may gather and cleanse data, run experiments to validate hypotheses, and communicate insights to both technical and non-technical stakeholders. Regular tasks can also include researching industry trends and identifying ways to improve processes with data-driven solutions. This dynamic environment requires continuous learning and creative thinking, making every day both challenging and rewarding.

What do data innovations do?

Data innovations professionals develop and implement new methods, tools, and technologies to analyze and utilize data more effectively. They often work with data management systems, programming languages, and analytics software to improve data-driven decision-making within organizations.

Who is the CEO of Data Innovations?

As of October 2023, the CEO of Data Innovations is David J. Zivney. He has been leading the company, which specializes in laboratory automation and informatics solutions, focusing on innovation and customer support.

What is the highest paying job in data?

In data-related fields, chief data officers and data executives typically earn the highest salaries, often exceeding six figures annually. These roles require extensive experience, leadership skills, and expertise in data management, analytics, and strategy tools.

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

To thrive in a Data Innovations role, you need a strong background in data analytics, statistical modeling, and creative problem-solving, often supported by a degree in computer science, data science, or a related field. Familiarity with tools such as Python, R, SQL, and machine learning platforms, as well as certifications like AWS Certified Data Analytics, is highly valuable. Outstanding communication, adaptability, and collaboration are crucial for translating complex findings into actionable business solutions. These skills enable you to identify, design, and implement innovative data-driven strategies that create a competitive advantage for organizations.

What are popular job titles related to Data Innovations jobs in Tennessee? For Data Innovations jobs in Tennessee, the most frequently searched job titles are:
Infographic showing various Data Innovations job openings in Tennessee as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $76,225 per year, or $36.6 per hour.

Data Engineer- (Google Cloud Platform, FHIR API) - Nashville , TN(Onsite)

Nobl Q, LLC.

Nashville, TN

$110K - $132K/yr

Other

Posted 13 days ago


Job description

FHIR API Architect and Engineer - Google Cloud Platform
Nashville, TN
Contract
We are seeking a Google Cloud Platform FHIR API Architect and Engineer to design, develop, maintain, and support custom-built HL7 FHIR APIs on Google Cloud Platform. This role will focus on reading large-scale clinical data from Google Cloud Bigtable, transforming it into FHIR-compliant resources, and exposing it through high-performance, secure REST APIs for downstream consumers. This role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team.
This is a hands-on engineering role requiring deep experience in custom API development, healthcare data standards, and Google Cloud Platform-native services, with responsibility across the full API lifecycle from design through production support. This role requires self-starters who are proficient in API problem solving and capable of bringing clarity to complex situations.
Due to the emerging and fast-evolving nature of Google Cloud Platform technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice. As an API Architect and Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success.
Responsibilities
This role will provide API development for specific business environments.
  • Adheres to and supports data engineering API best practices, processes, and standards.
  • Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.
  • Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.
  • Works in an environment with rapidly changing business requirements and priorities
  • Shares knowledge and experience to contribute to growth of overall team capabilities.
  • Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.
  • Self-directed, hands-on engineer
  • Comfortable working in regulated healthcare environments
  • Strong communicator with both technical and business stakeholders
Required Skills & Experience
  • 10+ years of IT experience
  • 5+ years of hands-on experience in API development or data engineering
  • Strong experience building custom HL7 FHIR APIs
  • Proven experience working with Google Cloud Bigtable, Cloud Run, GKE, Cloud Functions
  • Strong understanding of FHIR resources and search semantics
  • Proficiency in Java, Python, or Scala
  • Experience with RESTful API design, pagination, filtering, and versioning
  • Experience with OAuth 2.0, API gateways, and IAM
  • Strong debugging and production support experience
Qualifications
  • Bachelor s degree in computer science or related discipline.
Preferred / Nice-to-have
  • Experience in healthcare, payer, or provider environments
  • Experience with Docker and Kubernetes (GKE)
  • Experience defining custom FHIR profiles and extensions.
  • Prior experience supporting high-volume, consumer-facing APIs.
  • Hands-on experience with Google Cloud Platform platform and experience with many of the following components:
    • Spark Streaming, Kafka, Pub/Sub, BigQuery, Dataflow
    • Cloud Composer, DataProc, GitHub, CI/CD, Cloud Logging
    • RDBMS MS SQL Server/Oracle/Teradata/Oracle
    • NoSQL, HBase, Cassandra, MongoDB, In-memory, Columnar, other emerging technologies
  • Google Cloud Platform Cloud Professional Data Engineer