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Remote Microsoft Data Engineer Jobs in Melbourne, FL

Lead, Data Engineer

Melbourne, FL ยท Remote

$127K - $236K/yr

Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ... Data Engineer with experience in managing enterprise-level data life cycle processes. This role ...

Principal, Data Engineer

Melbourne, FL ยท On-site +1

$153K - $284K/yr

Principal, Data Engineer Job Code: 41066 Job Location ... Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Endpoint Systems Engineer

Palm Shores, FL ยท Remote

$110K - $120K/yr

Hybrid - onsite and remote Overview As an Endpoint Systems Engineer, you will be responsible for ... Own the lifecycle management of Group Policy Objects and Microsoft Intune policies, including ...

Civil Engineer

Melbourne, FL ยท On-site +1

Remote Work: Hybrid Job Number: R0247954 Location: Melbourne,FL,US Share job via: Share Civil ... Experience with data analysis platforms, such as Tableau or Power BI * Experience with design ...

New

Mechanical Systems Engineer Onsite Kennedy Space Center /Florida - No Hybrid or remote is available ... data for technical adequacy and compliance. * Perform independent mechanical analysis to support ...

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Showing results 1-20

Remote Microsoft Data Engineer information

See Melbourne, FL salary details

$41.2K

$120.2K

$164.5K

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

As of Aug 28, 2026, the average yearly pay for remote microsoft data engineer in Melbourne, FL is $120,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,500.00 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 are popular job titles related to Remote Microsoft Data Engineer jobs in Melbourne, FL?

For Remote Microsoft Data Engineer jobs in Melbourne, FL, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Remote Microsoft Data Engineer job openings in Melbourne, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $120,237 per year, or $57.8 per hour.

Lead, Data Engineer

L3HHCM20

Melbourne, FL โ€ข Remote

$127K - $236K/yr

Full-time

Medical, Retirement, PTO

Re-posted 12 days ago


Job description

Job Title:ย Lead, Data Engineerย 

Job Code:ย 41065

Job Location:ย Melbourne, FL or Remote Opportunity

Job Schedule:ย 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Provide architectural oversight for the company's data platform and related initiatives, ensuring alignment with company standards and best practices
  • Assist development initiatives with design reviews, offering guidance on architecture and data modeling
  • Lead design reviews for proposed solutions, including data sourcing, data pipelines, data models, and ontology resources, providing actionable feedback to enhance design scalability
  • Assist and develop architectural artifacts, perform requirements decomposition, and develop other documentation to support the software development lifecycle (SDLC)
  • Support the SDLC process by participating in data architecture review sessions, reviewing proposed solutions for compliance with architectural standards
  • Oversee and provide guidance for data pipelines, ensuring scalability, reusability, and performance
  • Utilize Palantir Foundry to perform data integration and ontology management to support big data analytics at scale
  • Collaborate with cross-functional teams to define data governance, metadata, and ontology standards, ensuring consistency and clarity across the data platform and enterprise
  • Remain current with emerging data technologies and frameworks to recommend improvements to the data platform architecture

Qualifications:

  • Bachelor's Degree and minimum 9ย years prior Palantir experience orย Graduate Degree and a minimum of 7ย years of prior Palantir experienceย In lieu of degree, minimum 13ย years of prior Palantir experience.
  • Minimum of 4ย years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
  • Minimum of 4ย years of experience in Data Integration.

Preferred Additional Skills:

  • Experience supporting or implementing solutions that leverage Generative AI capabilities, including Retrieval-Augmented Generation (RAG), semantic search, and LLM integration
  • Experience with Palantir Foundry tools such as Ontology Manager, Compass, Code Repository, Solution Designer, OSDK, AI FDE, and AIP Analyst
  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex, or similar
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repository, or similar technologies leveraging PySpark and Spark SQL
  • Familiarity with SDLC processes and architecture review or data governance board processes

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $127,000-$236,500. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $110,500-$205,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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