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Remote Data Engineering Jobs in Spring Hill, FL (NOW HIRING)

Bridgeway Benefit Technologies

Data Engineer (BI)

Tampa, FL · Remote

$108K - $129K/yr

... 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 ...

New

Inizio Partners

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of positions - 2 Overview We are seeking a Data Engineer with strong experience in Python and React to ...

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 ...

NewGen

Platform Architect/Consultant

Tampa, FL · On-site +1

This role is an early opportunity, expecting to allow remote work up to 100%. Serve as a resident ... The consultant will collaborate closely with customer data engineering teams, integrate Generative ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... 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

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

Booz Allen Hamilton, Inc.

Data Scientist

Tampa, FL · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0245472 Location: Tampa,FL,US Share job via: Share Data Scientist The ... You Have: * 5+ years of experience with programming languages including R, Python, or C

Humana

Senior Applied AI Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

You will work closely with data engineering and business teams to deliver scalable, intelligent ... This position's work style is remote from any of the locations listed below. You must reside in ...

Tetra Tech

Civil Engineer III

Tampa, FL · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Worth AI

Engineering Manager

Tampa, FL · On-site +1

Frameworks: Nest.js, React.js * Data & Messaging: PostgreSQL, Kafka, Redis, Redshift ... Experience managing distributed or remote-first teams. * Strong background in distributed systems ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Spring Hill, FL

Remote Data Engineering information

See Spring Hill, FL salary details

$37.8K

$110.1K

$150.6K

How much do remote data engineering jobs pay per year?

As of Aug 2, 2026, the average yearly pay for remote data engineering in Spring Hill, FL is $110,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $116,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What job categories do people searching Remote Data Engineering jobs in Spring Hill, FL look for? The top searched job categories for Remote Data Engineering jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Data Engineering jobs? Cities near Spring Hill, FL with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Spring Hill, FL as of July 2026, with employment types broken down into 70% Full Time, 9% Part Time, 5% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,051 per year, or $52.9 per hour.

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Posted yesterday

New

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.