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Remote Data Engineer Jobs in Brandon, FL (NOW HIRING)

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse ... This is a remote position with occasional travel. Preference given to East Coast candidates. Key ...

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0245461 Location: Tampa,FL,US Share job via: Share Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245470 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Kobie Marketing

Sr. Data Engineer

Saint Petersburg, FL · Remote

$100K - $136K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Kobie Marketing

Sr. Data Engineer

Saint Petersburg, FL · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Our Data Engineering team builds and maintains the operational data foundation that powers real ...

Bond-Pro

SQL Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

This is a 100% remote position. Role Summary We are seeking a Database Developer/Administrator with ... Plan and execute data patching, hotfixes, and schema changes across development, test, and ...

Bond-Pro Inc

SQL Data Engineer (Remote)

Tampa, FL · Remote

This is a 100% remote position. Role Summary We are seeking a Database Developer/Administrator with ... Plan and execute data patching, hotfixes, and schema changes across development, test, and ...

AgileEngine

Senior Data Engineer ID75059

Tampa, FL · On-site +1

$100K - $136K/yr

ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes ... Flexible schedule with remote and office options.

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Worth AI

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Quest Diagnostics

Senior Cloud Engineer (Remote)

Tampa, FL · On-site +1

$52.75 - $70.50/hr

The Cloud Operations and Data Quality Engineer is responsible for the deployment, monitoring, maintenance, and optimization of cloud infrastructure supporting Quest Diagnostics' Health Analytics ...

Workforce Connections

SQL Data Analyst

Tampa, FL · Remote

Remote - Candidates must reside and work within the Eastern Time Zone Job Summary We are seeking an ... Programming experience in one or more of the following: * C# * Java * Python * SQL * Excellent ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Brandon, FL

Remote Data Engineer information

See Brandon, FL salary details

$38.7K

$112.7K

$154.2K

How much do remote data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data engineer 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 does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
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 Remote Data Engineer jobs in Brandon, FL? For Remote Data Engineer jobs in Brandon, FL, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Brandon, FL look for? The top searched job categories for Remote Data Engineer jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Remote Data Engineer jobs? Cities near Brandon, FL with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Brandon, FL as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $112,714 per year, or $54.2 per hour.

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted 5 days ago

Job description

Bridgeway is seeking a Data Engineer (BI) to design, develop, and maintain our data warehouse infrastructure and the semantic models, dashboards, and reporting that sit on top of it. This role involves working closely with analysts, engineers, and business stakeholders to shape our data architecture, build secure and efficient data pipelines and curated data models, and turn data into self-service analytics and insight across the organization. The ideal candidate will have a strong background in data engineering, dimensional and semantic data modeling, business intelligence tooling, and ELT processes, along with a passion for making data accessible and actionable.

This is a remote position with occasional travel. Preference given to East Coast candidates.

Key Responsibilities:

  • Design and maintain semantic data models, metrics layers, and certified datasets that provide a consistent, business-friendly source of truth for reporting and self-service analytics.
  • Define, standardize, and govern KPIs, calculation logic, and a shared metric glossary so that metrics are consistent and trusted across dashboards and self-service analytics.
  • Develop, maintain, and optimize dashboards and reports in Sigma (primary), with some Power BI and native Databricks dashboards/AI-BI Genie , and enable business users to explore data through governed self-service analytics.
  • Define and maintain Sigma workspace standards (workbook templates, certified datasets, RLS configuration, naming/governance conventions) in the development instance for promotion across tenant environments, in partnership with Platform Engineering, for tenant-level administration.
  • Collaborate with the Architecture team on data quality, testing, and observability; own triage and resolution of BI-layer/dashboard issues.
  • Drive BI adoption by training and supporting business users, monitoring dashboard usage, and identifying underused or redundant assets for redesign, training, or deprecation.
  • Ensure data security and compliance, including role-based access controls for security, encryption, masking, and governance best practices to ensure compliant handling of sensitive information.
  • Gather reporting and analytics requirements from business stakeholders, define success measures, and translate them into technical specifications and well-structured data products.
  • Enable analytics, reporting, and AI/ML use cases through well-structured, business-friendly data models, feature availability, and platform integrations using tools such as Databricks Vector Search and Model Serving.
  • Collaborate within an Agile-Scrum framework and develop comprehensive technical design documentation to ensure efficient and successful delivery.
  • Build and maintain production dashboards and workbooks in Sigma, ensuring reliability and performance for business users.
  • Implement row-level security and Entra ID-based access controls to govern and secure data access within the BI/data platform.
  • Collaborate and communicate proactively with engineering, analytics, and business stakeholders, influencing priorities and driving alignment across teams.

Requirements:

  • 3+ years of hands-on data engineering and/or business intelligence experience required.
  • Experience in Databricks, including DAB and Materialized Views.
  • 3+ years designing semantic/dimensional data models and building dashboards and reports in a modern BI platform including hands-on experience with a metrics or semantic layer required.
  • 3+ years of experience with analytical SQL (ANSI SQL/T-SQL/Spark SQL) and Python for data engineering, including pipeline construction, transformation logic, and automation required.
  • Azure DevOps; GitHub CoPilot knowledge is a plus.
  • Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
  • Experience dealing with HIPAA compliant data sets is a plus.