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Data Engineer Jobs in Lithia, FL (NOW HIRING)

Lead Data Engineer

Saint Petersburg, FL ยท On-site

$96K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Data Engineer will lead technical design, development, implementation, troubleshooting, and continuous improvement initiatives while promoting engineering best practices, supporting Agile ...

New

Lead Data Engineer

Saint Petersburg, FL ยท Hybrid

$96K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Lead Data Engineer will lead technical design, development, implementation, troubleshooting, and continuous improvement initiatives while promoting engineering best practices, supporting Agile ...

Senior Data Engineer

Tampa, FL ยท On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0245463 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available ...

Senior Data Engineer

Tampa, FL ยท Hybrid

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support ...

Sr. Data Engineer

Saint Petersburg, FL ยท Remote

$100K - $136K/yr

Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio ...

Data Engineer - PySpark

Tampa, FL ยท On-site

$60K - $135K/yr

  • Medical

  • Dental

  • PTO

Data Engineer - PySpark City: Tampa State/Province: Florida Posting Start Date: 7/31/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company ...

Senior Data Engineer

Tampa, FL

$137K - $166K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products , including CoreReg, Substance Mart, DARE, and Asset Mart . You ...

Data Engineer, Senior

Tampa, FL

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Data Engineer, Senior

Tampa, FL ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Senior Data Engineer

Tampa, FL ยท On-site

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

R0245470 Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available ...

Data Engineer - MDM

Tampa, FL ยท On-site

$88K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

MDM Data Engineer- Tampa, Florida Be a part of a revolutionary change! At Philip Morris International (PMI), we've chosen to do something incredible. We're totally transforming our business and ...

Data Engineer, Senior

Tampa, FL ยท On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today ...

Data Engineer (PySpark)

Tampa, FL ยท On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer (PySpark)

Tampa, FL ยท On-site

$108K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer | TS/SCI Required

Tampa, FL ยท On-site

$108K - $129K/yr

Work you'll do As a Project - Data Management Engineer III on the AI & Engineering team, you will be responsible for: Supporting the build-out of an in-production unclassified system operating on a ...

Senior Data Engineer

Tampa, FL ยท Hybrid

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 - 2days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Google Senior Data Engineer

Tampa, FL ยท On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Data Engineer with Security Clearance

Tampa, FL ยท On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data ...

Showing results 41-60

Data Engineer information

See Lithia, FL salary details

$38.9K

$113.4K

$155.2K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Lithia, FL is $113,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $120,200.00 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 pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

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

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

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

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

Infographic showing various Data Engineer job openings in Lithia, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, 4% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,412 per year, or $54.5 per hour.

Lead Data Engineer

Raymond James Financial Inc

Saint Petersburg, FL โ€ข On-site

$96K - $127K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Job Description Summary
This position follows our hybrid workstyle policy: expected to be in a Raymond James office location three days per week, with at least one of those days being a Monday or a Friday.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.
Job Description
Job Description Summary
As part of the Wealth Management Technology organization, the Lead Data Engineer, Apps Dev serves as a technical leader within the Annuity and Life Insurance Solutions team, supporting critical enterprise applications, data solutions, and business initiatives. This role is responsible for delivering scalable, secure, and efficient technology solutions that support business operations, application modernization, production stability, and strategic technology objectives across the Wealth Management department.
The ideal candidate combines deep expertise in Oracle database development, data engineering, application integration, and production support with strong technical leadership and problem-solving capabilities. This position plays a key role in supporting Annuity and Life Insurance initiatives, including application modernization, CSS decommissioning initiatives, platform enhancements, system decommission efforts, and ongoing operational excellence, while partnering closely with business and technology stakeholders to deliver reliable, high-quality solutions.
This role requires hands-on experience with Oracle SQL, PL/SQL, enterprise job scheduling platforms, automation, and modern software delivery practices. The Lead Data Engineer will lead technical design, development, implementation, troubleshooting, and continuous improvement initiatives while promoting engineering best practices, supporting Agile delivery teams, and ensuring operational excellence across critical business applications. The successful candidate will demonstrate a strong balance of technical expertise, business acumen, and leadership skills to influence outcomes, mentor team members, reduce operational risk, and drive the successful delivery of innovative technology solutions that support advisor, client, and business needs. The role also requires proficiency in leveraging AI-enabled engineering tools and practices to improve productivity, code quality, documentation, testing, and delivery efficiency while maintaining accountability for solution quality, security, and performance.
Responsibilities
Technical Leadership & Solution Delivery
  • Lead the design, development, testing, deployment, and support of scalable, high-performance data solutions supporting Annuity and Life Insurance applications.
  • Provide technical leadership across KTLO, RTB, and CTB initiatives, ensuring successful delivery of business and technology objectives.
  • Drive application modernization, CSS decommissioning initiatives, system enhancements, and technology improvement efforts while maintaining operational stability.
  • Mentor engineering team members and promote engineering excellence through technical guidance, knowledge sharing, and best practices.

Oracle Database & Data Engineering
  • Design, develop, and optimize Oracle SQL, PL/SQL stored procedures, database packages, functions, and performance-tuned queries.
  • Perform database design, data modeling, performance tuning, query optimization, and capacity planning for enterprise applications.
  • Analyze and resolve complex data, database, and application performance issues to ensure reliability, scalability, and operational efficiency.
  • Develop and maintain data integration solutions supporting business-critical processes and enterprise applications.

Application Development & Integration
  • Analyze business and system requirements to identify application interactions, data flows, dependencies, and integration points.
  • Translate functional and technical requirements into scalable, secure, and maintainable application solutions.
  • Collaborate with Product Owners, Business Analysts, QA, DevOps, and Project Managers to deliver high-quality technology solutions.
  • Participate in architecture reviews, technical design reviews, and code reviews to ensure compliance with enterprise standards and engineering best practices.

Production Support & Operational Excellence
  • Provide technical leadership for production support activities across critical Annuity and Life Insurance applications.
  • Lead troubleshooting efforts for production incidents, perform root cause analysis, and implement long-term corrective actions.
  • Monitor application performance, data processing activities, and operational metrics to ensure platform stability, availability, and service continuity.
  • Support release management, deployment validation, operational readiness, disaster recovery planning, and ongoing system maintenance activities.

Batch Processing & Automation
  • Design, develop, and support enterprise batch-processing solutions utilizing BMC Control-M and related job scheduling platforms.
  • Manage job scheduling, workflow orchestration, monitoring, recovery processes, and operational support procedures to support critical business operations.
  • Identify automation opportunities to improve operational efficiency, reliability, and scalability.
  • Develop and maintain automation solutions to streamline development, deployment, monitoring, and support processes.

AI-Enabled Engineering
  • Leverage AI-powered development tools such as GitHub Copilot, Claude Code, and Microsoft Copilot to improve productivity, code quality, documentation, testing, and troubleshooting.
  • Apply AI-assisted engineering practices while maintaining accountability for solution accuracy, security, compliance, and maintainability.
  • Identify opportunities to utilize AI and automation technologies to enhance engineering effectiveness and business outcomes.
  • Promote responsible adoption of AI technologies within engineering teams through best practices and governance standards.

Collaboration & Strategic Partnership
  • Build strong partnerships across business and technology organizations to drive alignment, execution, and successful delivery of initiatives.
  • Support application modernization, system decommissioning, and strategic transformation programs, including impact assessments, dependency analysis, and implementation planning.
  • Communicate technical risks, recommendations, and solution approaches effectively to technical and non-technical stakeholders.
  • Evaluate emerging technologies and develop proof-of-concepts that support innovation, continuous improvement, and long-term business objectives.

Education
Bachelor's (Required)
Work Experience
General Experience - 6 to 10 years
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
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