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Data Engineer Jobs in Lithia, FL (NOW HIRING)

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid 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, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

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

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

R0245461 Data Engineer, Mid 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, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Sr Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Job Title: Sr Data Engineer Work Location: Tampa, FL Duration: 8+ Months • Data Management -BigQuery big data hive GCP components • In this role, you will be part of Trane Technologies' Data ...

PCA Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

AWS Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Location:Tampa ,FL Our team's line of questioning would be testing candidate's ability to deploy using automation, operate, incident handle, tune for performance, cloud data migration ...

Data engineer

Tampa, FL

$108K - $129K/yr

Build robust data integration pipelines to connect AI models with enterprise data sources, including large-scale Oracle databases. Apply deep knowledge of software design patterns and Python best ...

Python Data Engineer

Tampa, FL

$108K - $129K/yr

Strong hands-on experience in Python for data engineering and application development. Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch ...

Showing results 21-40

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.

$61K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Data Engineer, Mid
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. Your ability to conduct mathematical, statistical, and business process analyses using ML techniques makes you an integral part of delivering a customer-focused solution. As a machine learning engineer on our data team, you'll train, test, deploy, and maintain models that organize, clean, and learn from data.
In this role, you'll own and define the direction of mission-critical solutions by applying best-fit digital and ML algorithms and technologies. You'll be part of a talented team of AI, ML, and data engineers across the company and collaborate with other developers to deliver world class solutions to senior military officials. Your skills and extensive technical expertise will guide customers as they navigate complex geopolitical landscapes, operations, and missions.
Join us. The world can't wait.
You Have:
  • 2+ years of experience in a professional work environment working with interdisciplinary teams
  • 2 + years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
  • 2 + years of experience with designing, developing, operationalizing, and maintaining complex relational databases at enterprise scale
  • Experience creating software for retrieving, parsing, and processing structured and unstructured data
  • Experience coding in either Python, R, or R Studio, and SQL
  • Experience building scalable ETL and ELT workflows including scripting and translating between multiple file formats
  • Experience with public clouds such as AWS, Microsoft Azure, or Google Cloud
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms
  • TS/SCI clearance
  • Bachelor's degree

Nice If You Have:
  • Experience at a Combatant Command
  • Experience with distributed data scripting, and computing tools including Databricks, Spark, AWS EMR, Kafka, Bash and Scala
  • Experience with NoSQL implementation, including MongoDB
  • Experience with data warehousing using AWS Redshift, MySQL, PostgreSQL, or Snowflake
  • Experience with Java and .NET
  • Experience with working on real-time data and streaming applications
  • Experience with Agile engineering practices
  • Possession of excellent oral and written communication, organization, and time management skills, to handle multiple tasks simultaneously
  • Master's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914