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Data Engineer Jobs in Ocala, FL (NOW HIRING)

Evaluate customer data on pressure, flow, inlet temperature, ambient conditions, and contamination levels to recommend optimal solutions. * Review engineering drawings, P&IDs, and customer ...

Manufacturing Engineer

Ocala, FL · On-site

$63K - $82K/yr

Perform engineering data analysis to support quality improvement programs and process validation efforts aligned with ISO 9001 standards. * Lead factory or manufacturing facility projects involving ...

Manufacturing Engineer

Ocala, FL · On-site

$70 - $100/hr

Perform engineering data analysis to support quality improvement programs and process validation efforts aligned with ISO 9001 standards. * Lead factory or manufacturing facility projects involving ...

Engineering design tasks include grading, storm sewer and drainage area sizing. Primary Function ... Research, collect and review available data on existing and surrounding permits. * Perform ...

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Data Engineer information

See Ocala, FL salary details

$41.4K

$120.6K

$165K

How much do data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data engineer in Ocala, FL is $120,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

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

What are the most commonly searched types of Data Engineer jobs in Ocala, FL?

The most popular types of Data Engineer jobs in Ocala, FL are:

What cities near Ocala, FL are hiring for Data Engineer jobs?

Cities near Ocala, FL with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Ocala, FL as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 77% In-person, 7% Hybrid, and 16% Remote job distribution, with an average salary of $120,557 per year, or $58 per hour.

$98K - $182K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 395 frontline employees who took The Breakroom Quiz

41st of 72 rated aerospace companies


Job description

Standard Job Description You will be the Data Scientist Sr for the FORCE Operations Data/AI team. Our team is responsible for providing MFC-wide support. What You Will Be Doing As the Data Scientist Sr you will be responsible for turning stakeholder AI and data needs into actionable models, guiding projects from prototype through production, and maintaining existing data products.

Your responsibilities will include, but are not limited to: Apply AI and datascience techniques to support manufacturingoperations programs. Identify and execute opportunities to integrate AI capabilities into existing FORCE products. Develop and lead the team's AI strategy and partner with stakeholders to define business problems.

Develop prototypes and advance them to productionready products. Maintain and enhance the legacy FORCE product suite. Why Join Us We seek a collaborative, forwardthinking professional who thrives on turning complex data challenges into impactful solutions.

This role offers the chance to shape AI capabilities across Lockheed Martin, work with cuttingedge technologies, and make a tangible impact on missioncritical operations. We are committed to supporting your worklife balance and overall wellbeing, offering flexible scheduling options. Learn more about Lockheed Martin's comprehensive benefits package here Further Information About This Opportunity This position is located in multiple locations.

[Discover more about Lockheed Martin Missiles and Fire Control.](a href= https://www.lockheedmartin.com/en-us/who-we-are/business-areas/missiles-and-fire-control.html?utm_campaign=mfc&utm_term=rm&utm_source=MFC-JobDescriptions-MFC-Business-page-2025&utm_medium=website) MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. Basic Qualifications Completed Bachelors degree from an accredited college in Engineering, Computer Science, AI/Data Science/Analytics, or other Engineering discipline

Experience with structured and unstructured data for descriptive/diagnostic, predictive, and prescriptive analytical needs Working level experience in SQL Proficiency in Python and related libraries (e.g. NumPy, Pandas) Desired Skills Knowledge of MLOps pipeline and modern machine learning techniques Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD] Familiarity interfacing with databases (SQL, MongoDB, etc.) Experience with Computer Vision and other Deep Learning techniques Experience with C++, Java, GO, and other compiled languages Experience with TensorFlow, PyTorch, Keras, or Scikit-learn Experience with AWS or another cloud computing platform Expertise navigating, developing, and working with EDW SAP HANA database Extensive working knowledge developing in Tableau - data models, visualizations, maintenance Experience with/in one or more of the Operations related business functions such as Prod Ops, Quality, PP&C, GSC, Engineering Strong experience in MFC ERP systems (SAP, Apriso, etc) Experience with or knowledge of data engineering and associated best practices, and software/data security considerations Pay Information Full-Time Salary Range: $98100.00 - $182100.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally

The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics

For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.


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About Lockheed Martin

Sourced by ZipRecruiter

As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912