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Data Engineering Jobs in Navarre, FL (NOW HIRING)

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Engineer

Pensacola, FL · On-site

$102K - $123K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Mid Data Engineer

Fort Walton Beach, FL · On-site

$61K - $141K/yr

... engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. * Verifiable work experience working with data structures, database management, distributed ...

Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. * Verifiable work experience working with data structures, database management, distributed ...

Data Engineer

Hurlburt Field, FL

$104K - $125K/yr

Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering. * Verifiable work experience working with data structures, database management, distributed ...

Data Architect

Hurlburt Field, FL · On-site

$58.25 - $74.75/hr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Analyst

Hurlburt Field, FL · On-site

$58K - $138K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

Data Eng Sr

Fort Walton Beach, FL · On-site

$79K - $134K/yr

We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

... Engineering. • Verifiable work experience working with data structures, database management ... distributed computing, and API driven architectures using SQL and No-SQL engines. • Proficient in ...

Senior Data Analyst

Hurlburt Field, FL · On-site

$58K - $141K/yr

Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare ...

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Data Engineering information

See Navarre, FL salary details

$42.4K

$152K

$224.2K

How much do data engineering jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data engineering in Navarre, FL is $151,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $156,600.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What job categories do people searching Data Engineering jobs in Navarre, FL look for? The top searched job categories for Data Engineering jobs in Navarre, FL are:
What cities near Navarre, FL are hiring for Data Engineering jobs? Cities near Navarre, FL with the most Data Engineering job openings:
Infographic showing various Data Engineering job openings in Navarre, FL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $151,971 per year, or $73.1 per hour.
Data Engineer

Data Engineer

Clarity Innovations

Hurlburt Field, FL • On-site

$104K - $125K/yr

Full-time

Posted 21 days ago


Job description

Clarity Innovations is a trusted national security partner, dedicated to safeguarding our nation's interests and delivering innovative solutions that empower the Intelligence Community (IC) and Department of Defense (DoD) to transform data into actionable intelligence, ensuring mission success in an evolving world.
Our mission-first software and data engineering platform modernizes data operations, utilizing advanced workflows, CI/CD, and secure DevSecOps practices. We focus on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring, enabling end-to-end solutions that drive operational impact.
We are committed to delivering cutting-edge tools and capabilities that address the most complex national security challenges, empowering our partners to stay ahead of emerging threats and ensuring the success of their critical missions. At Clarity, we are people-focused and set on being a destination employer for top talent, offering an environment where innovation thrives, careers grow, and individuals are valued. Join us as we continue to lead innovation and tackle the most pressing challenges in national security.
Role
This Data Engineer supports Air Force Special Operations Command (AFSOC) at Hurlburt Field, Florida. Data Engineers in this program support the command through a combination of data integration and data modernization efforts. Data Engineers will be embedded within AFSOC to provide subject matter expertise and technical capability for integrating complex data used by the command. Data Engineers in this program support AFSOC's initiative to be more capable and effective when leveraging their data resources.
Responsibilities
A Data Engineer has a deep understanding of performance optimization and data pipelining. In addition to the baseline skills of a data analyst, data engineers can make raw data more useful for the enterprise. Data engineers can create and integrate application programming interfaces (APIs). Their technical skills generally include multiple programming languages and a deep knowledge of SQL database design.
The Data Engineer role requires a more in-depth knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. Data engineers collect and arrange data in a form that is useful for analytics. A basic knowledge in machine learning is also required to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.
The Data Engineer shall perform the following tasks:
  • Develop, maintain, and test infrastructures for data generation to transform data from various structured and unstructured data sources.
  • Develop complex queries to ensure accessibility while optimizing the performance of NoSQL and or big data infrastructure. Create and maintain optimal data pipeline architecture.
  • Build and maintain the infrastructure to support extraction, transformation, and loading (ETL) of data from a wide variety of data sources. Extract data from multiple data sources, relational SQL and NoSQL databases, and other platform APIs, for data ingestion and integration.
  • Configure and manage data analytic frameworks and pipelines using databases and tools such as NoSQL, SQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, and Pig.
  • Apply distributed systems concepts and principles such as consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms.
  • Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service (AWS).
  • Coordinate with stakeholders, including product, data and design teams to assist with data-related technical issues and support their data infrastructure needs

Requirements
  • Minimum of 1-year experience is required.
  • Bachelor's degree in a STEM field with preference towards Computer Science and Software Engineering.
  • Verifiable work experience working with data structures, database management, distributed computing, and API driven architectures using SQL and No-SQL engines.
  • Proficient in modeling frameworks like Universal Modeling Language (UML), Agile Development, and Git Operations.
  • A Secret clearance is required while a Top Secret clearance with SCI eligibility is preferred.

Preferred Qualifications
  • Familiarity with DoD
  • Familiarity with Envision

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.