2

Remote Microsoft Data Engineer Jobs (NOW HIRING)

Data Engineer

$100K - $140K/yr

This role is remote but candidate must reside in the United States. Initial onboarding will be ... Implementations across platforms such as Microsoft Fabric, Databricks, and Snowflake, meeting ...

Data Engineer

Mclean, VA · On-site +1

$110K - $160K/yr

Key must have skill sets - Microsoft data stack, Python * Support an Agile software development ... Experience supporting project teams of developers and data scientists who build web-based ...

Data Engineer

Bellevue, WA · Remote

$129K - $155K/yr

Data Engineer Location : Bellevue, WA (Remote) Job Type : Full time Permanent Roles ... Microsoft Power BI; Digital : Big Data Platforms Roles & Responsibilities: Automated Incident ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Data Engineer - Remote

Richmond, VA · On-site +1

$113K - $136K/yr

Data Engineer Location: 100% Remote Duration: 12 months Required Qualifications: * 7+ Years Experience in the following: Python, Java, Scala, Spark, AirFlow, Javascript/TypeScript * 3+ Years ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Microsoft Azure DP-203 * HL7 or FHIR certification (nice to have) Benefits: * Comprehensive health ...

Data Engineer

$117K - $140K/yr

Data Engineer Location: Remote Top Skill 3-5 years min of Cloud Service - Azure , Advanced SQL ... Required Qualifications - Experience working with Microsoft Azure cloud services - Experience with ...

Data Engineer SOW RFP VT

Waterbury, VT · Remote

$114K - $137K/yr

Remote (U.S. Only) Engagement Type: Contract Start: ASAP Duration: Short term project About the ... Key Responsibilities • Analyze legacy MySQL and Microsoft SQL Server databases to identify tables ...

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Microsoft Azure DP-203 * HL7 or FHIR certification (nice to have) Benefits: * Comprehensive health ...

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding ... Microsoft Azure DP-203 * HL7 or FHIR certification (nice to have) Benefits: * Comprehensive health ...

next page

Showing results 1-20

Remote Microsoft Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 4, 2026, the average yearly pay for remote microsoft data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Microsoft Data Engineer, and why are they important?

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 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 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.

More about Remote Microsoft Data Engineer jobs
What cities are hiring for Remote Microsoft Data Engineer jobs? Cities with the most Remote Microsoft Data Engineer job openings:
What are the most commonly searched types of Microsoft Data Engineer jobs? The most popular types of Microsoft Data Engineer jobs are:
What states have the most Remote Microsoft Data Engineer jobs? States with the most job openings for Remote Microsoft Data Engineer jobs include:
Infographic showing various Remote Microsoft Data Engineer job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$100K - $140K/yr

Full-time

Posted 11 days ago


Job description

About NuView Analytics
At NuView Analytics, we help companies accelerate the time to insights from their data. We do this in three ways: data analytics, data diligence, and fractional data science. Our clients are growth-stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship, we help companies gain a new perspective on their business through their data.
The Role
We're looking for a Data Engineer to join our growing team and help clients build scalable, reliable data infrastructure. This role is remote but candidate must reside in the United States. Initial onboarding will be onsite. You'll work across the modern data stack, designing pipelines, architecting warehouses, and enabling the analytical layer that our clients depend on. This is a high-impact, client-facing role that combines deep technical execution with strategic thinking.
Responsibilities
  • Design, build, and maintain scalable data pipelines for clients across industries
  • Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms
  • Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff
  • Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset
  • Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled
  • Champion data quality, testing, and observability best practices across client engagements
  • Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term
  • Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members
  • Research and evaluate new technologies and advocate for tooling investments that benefit the firm
  • Train and mentor junior team members on engineering standards, pipeline design, and best practices
  • Participate in client-facing communication, including requirements gathering and progress updates
  • Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization. We're a lean team and value versatility
Projects Include
  • ETL/ELT pipeline development and optimization
  • Data warehouse modeling (dimensional, medallion/lakehouse architectures)
  • Data integration across client systems such as CRM, ERP, marketing, and operational systems
  • Infrastructure setup across the modern data stack (ingestion, transformation, orchestration)
  • Implementations across platforms such as Microsoft Fabric, Databricks, and Snowflake, meeting clients where they are
  • Data modeling and deployment across medallion architecture layers (bronze, silver, gold)
  • Data quality frameworks and automated pipeline testing
  • Cloud infrastructure provisioning and cost optimization (Azure, AWS, GCP)
  • Technical documentation projects including data dictionaries, ER diagrams, lineage documentation, and metrics catalogs
  • Power BI semantic model development and dashboard support when business needs require it
Qualifications
  • Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field
  • 2-5 years of relevant data engineering or software engineering experience
  • SQL Expert: complex query authoring, query optimization, stored procedures
  • Python Required: pipeline scripting, automation, data processing
  • Transformation Tools: dbt required; Spark experience a plus
  • Ingestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similar
  • Orchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalent
  • Cloud Platforms: Azure (preferred), AWS, or GCP experience
  • Data Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalent
  • Version Control: Git required; branching strategies, pull requests, and code review workflows
  • Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
  • Self-starter who thrives in a remote environment and can manage multiple client workstreams
  • Player-coach mindset: capable of leading projects while growing junior teammates
  • For certain client projects, there may be a need to be in person or for limited travel to client offices.
  • Intellectually curious about evolving data tooling, architecture patterns, and AI-augmented engineering

NuView Analytics is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.