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Data Engineering Jobs in Oldsmar, FL (NOW HIRING)

Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment. Education and Background Typically has a ...

Data Engineer - Senior Manager

Tampa, FL · On-site

$124K - $280K/yr

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 ...

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Experience with AWS cloud services for data engineering. * Strong version control and CI/CD experience. * Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.) * Familiarity with ...

Data Scientist

Tampa, FL · On-site

$125 - $150/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 Engineer, Senior

Tampa, FL · On-site

$77K - $176K/yr

You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you'll mentor a multi ...

Data Engineer, Senior

Tampa, FL · On-site

$77K - $176K/yr

You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you'll mentor a multi ...

Data Engineer, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you'll mentor a multi ...

Showing results 21-40

Data Engineering information

See Oldsmar, FL salary details

$42.1K

$151.1K

$222.9K

How much do data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineering in Oldsmar, FL is $151,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $155,600.00 per year, depending on experience, location, and employer.

What is data engineering?

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.

What does a data engineer do?

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 skills and qualifications are needed to thrive as a data engineer?

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.

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 need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What cities near Oldsmar, FL are hiring for Data Engineering jobs?

Cities near Oldsmar, FL with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Oldsmar, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $151,062 per year, or $72.6 per hour.

Data Operations Technical Lead

Agile Defense

Tampa, FL • On-site

$100 - $125/hr

Other

Re-posted 9 days ago


Job description

Job Details

Requisition #: 1700

Job Title: Data Operations Technical Lead

Location: MacDill AFB, FL

Clearance Level: Top Secret / SCI, Must Have Clearance to Start

Job Description
  • Design, build, and maintain highly scalable, reliable, and efficient data pipelines for extracting, transforming, and loading (ETL/ELT) data from various sources into data warehouses, data lakes, and other storage systems.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure the efficient flow of data across various platforms and systems.
  • Develop, deploy, and maintain real-time data streaming solutions to process and deliver data with low latency (using tools like Apache Kafka, Flink, or Spark Streaming). Optimize and automate data workflows, ensuring that data pipelines are efficient, reliable, and capable of handling increasing data volumes. Oversee the development of data models and schema designs to ensure accurate, accessible, and high-performance data storage for analytics and reporting.
  • Ensure data quality, integrity, and consistency by implementing data validation, monitoring, and error-handling mechanisms.
  • Monitor and troubleshoot performance bottlenecks in data systems, resolving issues with data processing and data access.
  • Stay current with emerging trends and best practices in data engineering, recommending new tools, technologies, and methods to enhance existing infrastructure.
  • Mentor and guide junior data engineers, promoting best practices in data engineering and fostering a collaborative, high-performance team environment.
Education and Background

Typically has a Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field (master's degree preferred) and 5+ years of experience in data engineering or software engineering, with demonstrated experience in designing and managing complex data pipelines, or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.

Years of Experience

5+ years

Required Skills
  • The contractor shall identify a Data Operations Technical Lead by name who shall deliver the foundational data infrastructure necessary to transform SOF Enterprise data into a critical strategic asset. This individual will ensure comprehensive data and engineering management, data quality and resource management providing scalable systems and reliable infrastructure essential for integrating advanced analytics and effective Artificial Intelligence solutions, significantly enhancing data-driving decision-making across all warfighting functions.
  • Have active TS/SCI clearance
  • Minimum of 5 years’ experience managing digital projects in support of SOF Enterprise customers
Preferred Skills
  • Three years experience managing SOF agile development processes
  • Three years experience managing SOF Data Operations processes and procedures
  • Three years experience managing SOF digital support request requirements, translating them from customer requests to assigning customer and digital support teams
Working Conditions

General Office Environment

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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