ZipRecruiter

Log In

2

Remote Microsoft Data Engineer Jobs in Hudson, FL

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, Senior

Tampa, FL · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247170 Location: Tampa,FL,US Share job via: Share Data Engineer, Senior The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ...

Workforce Connections

SQL Data Analyst

Tampa, FL · Remote

Microsoft SQL Server and SQL Developer * ETL Development, Data Validation, and Data Quality What We ... Remote position (Eastern Time Zone only) * Standard Monday-Friday schedule * Contract with ...

Booz Allen Hamilton, Inc.

Data Architect, Senior

Tampa, FL · On-site +1

$63.50 - $85/hr

Remote Work: No Job Number: R0247168 Location: Tampa,FL,US Share job via: Share Data Architect ... You Have: * 5+ years of experience in data architecture, data engineering, or analytics engineering ...

next page

Showing results 1-20

All JobsMicrosoft Data Engineer JobsRemote Microsoft Data Engineer JobsRemote Microsoft Data Engineer Jobs in Hudson, FL

Remote Microsoft Data Engineer information

See Hudson, FL salary details

$34.8K

$101.3K

$138.6K

How much do remote microsoft data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote microsoft data engineer in Hudson, FL is $101,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $107,400.00 per year, depending on experience, location, and employer.

What is a remote Microsoft data engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.

How does a remote Microsoft data engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

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

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What job categories do people searching Remote Microsoft Data Engineer jobs in Hudson, FL look for?

The top searched job categories for Remote Microsoft Data Engineer jobs in Hudson, FL are:

What cities near Hudson, FL are hiring for Remote Microsoft Data Engineer jobs?

Cities near Hudson, FL with the most Remote Microsoft Data Engineer job openings:

Remote Microsoft Data Engineer jobs near you

Data Engineer (BI)

Bridgeway Benefit Technologies

Tampa, FL • Remote

$108K - $129K/yr

Full-time

Re-posted 4 days ago

Key responsibilities

  • Design, develop, and maintain semantic data models, metrics layers, and certified datasets for reporting and self-service analytics.

  • Develop, maintain, and optimize dashboards and reports in Sigma, Power BI, and Databricks dashboards, enabling data exploration for business users.

  • Collaborate with stakeholders to gather requirements, define success measures, and translate them into technical data products.

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.