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Data Engineer Entry Level Jobs in Brandon, FL (NOW HIRING)

... data centers, multifamily housing, office buildings, warehouses, schools, and stadiums. And we do ... POSITION PURPOSE The Design Engineer is an entry-level position where associates are heavily ...

Entry Level Software Developer (Tampa)

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

At least one year of W2 experience in a technical role Plus a working understanding of programming fundamentals - data structures, algorithms, databases and SQL, and software development in an object ...

Product Quality Engineer I (Onsite)

Largo, FL · On-site

$64K - $83K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This entry-level engineering role supports the evaluation and disposition of nonconforming material ... Collect, analyze, and report quality data related to scrap, rework, defect trends, and quality ...

On-call Entry Level Survey Technician

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Take field notes of field data gathered. * Interface with landowners and refer any landowner ... Work collaboratively with other professionals, engineers, scientists, project control, and ...

On-call Entry Level Survey Technician

Tampa, FL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Take field notes of field data gathered. * Interface with landowners and refer any landowner ... Work collaboratively with other professionals, engineers, scientists, project control, and ...

Showing results 41-60

Data Engineer Entry Level information

See Brandon, FL salary details

$38.7K

$112.7K

$154.2K

How much do data engineer entry level jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data engineer entry level in Brandon, FL is $112,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

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

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What is the difference between Data Engineer Entry Level vs Data Analyst Entry Level?

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

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

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

What are popular job titles related to Data Engineer Entry Level jobs in Brandon, FL?

For Data Engineer Entry Level jobs in Brandon, FL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Brandon, FL look for?

The top searched job categories for Data Engineer Entry Level jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Data Engineer Entry Level jobs?

Cities near Brandon, FL with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Brandon, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 12% Part Time, and 7% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $112,714 per year, or $54.2 per hour.

Software Engineer [Multiple Positions Available]

JPMorgan Chase & Co.

Tampa, FL • On-site

$90 - $135/hr

Other

Posted 15 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Duties: Execute creative software solutions that are secure and high-quality to design, develop, and troubleshoot software. Architect and implement event-driven solutions. Build, deploy, and manage serverless functions in and containerized services. Model, query, and optimize data and relational stores. Define and expose APIs including authorization, throttling, and monitoring. Build dashboards and setup alerting mechanisms. Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems by writing automated test suites. Guide design proposals and implementation walkthroughs with external vendors and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture. Drive software modernization and public cloud migration across development teams and ring fenced teams. Remove blockers and impediments from development team to reduce friction, frequent pain points and time-to-market. Automate CI/CD pipelines, infrastructure provisioning, and operational runbooks. Perform code reviews, mentor junior engineers, and uphold coding standards and best practices on Cloud solutions.

QUALIFICATIONS

Minimum education and experience required: Master\'s degree in Information Systems, Computer Science, Computer Engineering, Electrical Engineering, Computer Information Systems or related field of study plus 1 year of experience in the job offered or as Software Engineer, Web Developer or related occupation. The employer will alternatively accept a Bachelor\'s degree in Information Systems, Computer Science, Computer Engineering, Electrical Engineering, Computer Information Systems or related field of study plus 3 years of experience in the job offered or as Software Engineer, Web Developer or related occupation.

Skills Required: This position requires one (1) year of experience with the following: Architecting and implementing event-driven solutions with Apache Kafka, AWS EventBridge, SNS, and SQS; Building, deploying, and maintaining serverless functions in AWS Lambda and containerized services on AWS ECS; Modeling, querying, and optimizing data in AWS DynamoDB and relational stores using SQL; Building dashboards and setting up alerting mechanisms using monitoring tools including Cloud Watch, Datadog, and Splunk; Applying Agile SDLC principles throughout the development lifecycle; Designing scalable, maintainable systems using application and infrastructure architecture disciplines; Building and operating microservices and J2EE-based applications; Wiring up application\'s components including services, repositories, and controllers declaratively via annotations, injecting dependencies via Dependency Injection, and applying Inversion of Control and Aspect-Oriented Programming using Spring framework; Rapid prototyping using Spring Boot using configurable components that can be included automatically based on classpath contents and application-properties; Defining interfaces to get basic create-read-update-delete methods and writing repository methods that enable Spring to generate SQL automatically; Structuring pages with header, main, article, footer for accessibility, and building robust forms with proper labels, required fields, and client-side validation using HTML; Defining CSS variables for colors and fonts, switching themes at runtime and applying media queries, and optimizing for mobile, tablet, desktop experiences; Calling RESTful APIs and handling JSON errors and retries using JavaScript; Stripping harmful input available in JavaScript using Promises and async/await to validate required formats; Building reusable UI units, binding data and events declaratively, and organizing feature modules; Configuring lazy-loaded routes using features in Angular; Building and dependency management using Maven and JSON-based REST API design; Deploying and managing applications on Pivotal Cloud Foundry; Defining interfaces extending Mongo Repository to get CRUD, paging, and sorting out of the box; Building data-processing pipelines including filter, group, and project with Aggregation; Executing SQL queries and updates, and calling stored procedures with JdbcTemplate for fine-grained control; Configuring the Hibernate Oracle dialect in application-properties and JpaRepository for entity CRUD; Writing human-readable scenarios in Gherkin including Given-When-Then to specify business behavior using Cucumber; Generating HTML, JSON and JUnit-style reports via Cucumber plugins that can be integrated into the CI dashboard; Writing test cases including white box testing using Junit to check for code coverage by using Annotate methods with JUnit 5 testing tools, and group related tests using Nested and Tag and checking responses leveraging built-in assertions; Configuring Jenkins, GitLab CI, and GitHub Actions to run unit, integration, and E2E tests on commits and PR; Planning and executing Black-Box, Functional, Manual, Performance, and Regression testing; Backend development with Java and Spring Boot and Python; Writing queries, optimizing joins, and indexing strategies using SQL; Writing Dockerfiles using optimized base images to minimize image size and attack surface; Building and tagging images via docker build and pushing to secure registries including Docker Hub, and Amazon ECR with least-privilege credentials; Creating ECS clusters by choosing the right compute option for workload and scalability requirements; Defining container specs and IAM task roles to grant scoped AWS permissions; Creating and managing feature branches, release branches, and hotfix branches using Git; Resolving merge conflicts, writing atomic commits, opening pull and merge requests, review diffs, comment inline, and enforce approvals via branch protection rules using Git; deploying pipelines in Jenkin files.

Job Location: 4900 Memorial Highway, Tampa, FL 33634.

Full-Time.

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