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Entry Level Microsoft Data Engineer Jobs (NOW HIRING)

G2M Insights

Data Engineer

Denver, CO · On-site

$95 - $130/hr

Microsoft Fabric * Azure Data Factory * Apache Spark * dbt * Airflow * Git and CI/CD * Docker or Kubernetes * REST APIs * Power BI Why Join G2M? At G2M, data engineers don't simply move data--they ...

Invesco

Microsoft 365 Engineer

Houston, TX · Hybrid

Configure, implement, and maintain Microsoft Purview Data Loss Prevention policies across Exchange ... Collaborate with peers on the engineering team to share knowledge on Microsoft 365 administration ...

WorkNovas LLC

Data Engineer

Jacksonville, FL · On-site

$106K - $127K/yr

Data Engineer Remote but inperson interview in Jacksonville, FL Data Engineer plays a critical role ... Microsoft SQL Server, and Azure. This position develops reliable ELT and ETL workflows, supports ...

HeadHR

NY · On-site

$90 - $120/hr

Doświadczenie data engineer - na poziomie min 5 lat solidnego doświadczenia jako DATA ENGINEER ... Solidna biegłość w środowisku Microsoft * Doświadczenie FABRIC * Doświadczenie ONELAKE

SHI

Solutions Engineer - Data Engineering

$117K - $140K/yr

Job Summary The SHI Services Solutions Engineer, Data Engineering is a key contributor within our Microsoft Data and AI practice. This role is responsible for designing, building, and delivering ...

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data ... Microsoft Cloud Certification * Familiarity with machine Learning and AI Education: * Bachelor ...

New

ACI Infotech

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (ONSITE)- Receive requests from Business and perform architectural assessment and ... Microsoft CI, Segment, Tealium, Treasure Data, Informatica, Exponea, SalesForce CDP, etc.

Park Place Technologies

Data Engineer

Highland Heights, OH · On-site

$111K - $133K/yr

Data Engineer The Data Engineer is responsible for collecting, managing, and converting raw data ... Microsoft Cloud Certification * Familiarity with machine Learning and AI Education: * Bachelor ...

indianapoliscolts

Data Engineer

Indiana, PA · On-site

$104K - $125K/yr

... and Microsoft Azure). · Collaborate with CRM, Marketing, and Analytics teams to understand data ... Engineer to ensure compliance with security controls and policies. · Stay current with emerging ...

Aerstone

Data Engineer

Springfield, VA · On-site

$119K - $143K/yr

Responsibilities : • Support and maintain Microsoft SQL Server environments, with flexibility to ... Data Analysts, Software Engineers, and other stakeholders to ensure data systems meet business ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... and Microsoft Azure). • Collaborate with CRM, Marketing, and Analytics teams to understand data ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... and Microsoft Azure). • Collaborate with CRM, Marketing, and Analytics teams to understand data ... Engineer to ensure compliance with security controls and policies. • Stay current with emerging ...

AgSource

Data Engineer

Watertown, WI

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Centro, Inc

Data Engineer

North Liberty, IA · On-site

$104K - $125K/yr

Principal Software Engineer Position Summary Centro is seeking a Data Engineer to design, develop ... Familiarity with MongoDB, Redis, and Microsoft SQL Server. * Experience working with containerized ...

AgSource

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

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Entry Level Microsoft Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level microsoft data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level 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 does an entry level Microsoft data engineer do?

An Entry Level Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. Their role typically involves collecting, transforming, and loading (ETL) data from various sources to enable data analysis and reporting. They work closely with other IT professionals to ensure data integrity, performance, and security while learning best practices in data engineering. This position is ideal for those starting their careers in data engineering and looking to develop expertise in Microsoft's data ecosystem.

What are the key skills and qualifications needed to thrive as an entry level Microsoft data engineer?

To thrive as an Entry Level Microsoft Data Engineer, you need foundational knowledge of SQL, data modeling, and a relevant degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and possibly certifications like Microsoft Certified: Azure Data Engineer Associate are typically expected. Strong analytical thinking, attention to detail, and effective communication help you stand out when collaborating with teams and translating data requirements. These skills are crucial for ensuring reliable data pipelines, facilitating data-driven decisions, and supporting organizational growth.

What are some common challenges faced by entry level Microsoft data engineers when working with large datasets?

Entry-level Microsoft Data Engineers often encounter challenges such as ensuring data integrity during extraction, transformation, and loading (ETL) processes, especially when dealing with large or complex datasets in Azure environments. Optimizing query performance and managing resource costs can also be difficult for those new to cloud-based data solutions. However, these challenges are excellent learning opportunities, as they encourage developing strong troubleshooting skills and familiarity with tools like Azure Data Factory, SQL Server, and Power BI. Support from more experienced team members and access to structured onboarding programs can help new hires quickly become proficient and confident in their daily responsibilities.

What is the difference between Entry Level Microsoft Data Engineer vs Data Analyst?

AspectEntry Level Microsoft Data EngineerData Analyst
Required CredentialsMicrosoft certifications, SQL, basic cloud knowledgeExcel, SQL, data visualization tools
Work EnvironmentData pipelines, cloud platforms, database managementData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare with data infrastructure needsMarketing, retail, finance for insights and reporting

Both roles often require SQL and basic data skills, but Data Engineers focus on building data systems and pipelines, while Data Analysts interpret data and create reports. Entry Level Microsoft Data Engineers typically work more with cloud platforms and data infrastructure, whereas Data Analysts focus on data visualization and insights. The roles are complementary but differ in technical depth and focus areas.

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Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

G2M Insights

Denver, CO • On-site

$95 - $130/hr

Other

Posted 5 days ago

Job description

Company Description

G2M Insights is a business and technology consulting firm focused on helping enterprise clients accelerate growth through better decisions. We combine strategy, analytics, artificial intelligence, and software engineering to build trusted decision intelligence platforms that improve go-to-market performance, operational efficiency, and financial outcomes.

Our data engineering team designs and builds modern cloud data platforms that power advanced analytics, machine learning, and AI applications for enterprise clients.

For more information, visit www.g2m.ai.

Role Description

This is a full-time hybrid position based in Denver, Colorado, with flexibility to work from home several days per week.

As a Data Engineer, you will design, develop, and maintain scalable data platforms that enable advanced analytics and AI solutions for enterprise clients. Depending on your education and experience, candidates will be hired as either Data Engineer I or Data Engineer II.

You will work closely with consultants, software engineers, and client teams to ingest, transform, and model large datasets while ensuring quality, reliability, and performance.

Responsibilities include:
  • Developing ETL/ELT pipelines
  • Building scalable cloud data platforms
  • Designing dimensional and semantic data models
  • Integrating data from enterprise systems and APIs
  • Optimizing data performance and reliability
  • Supporting AI and machine learning initiatives
  • Collaborating with consultants to translate business requirements into technical solutions
Qualifications Required
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Mathematics, or a related technical discipline
  • Strong programming skills in Python
  • Strong SQL skills
  • Understanding of relational databases and data modeling
  • Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud
  • Excellent analytical and problem-solving abilities
  • Strong communication skills and the ability to work directly with both technical and business stakeholders
Preferred

Experience with one or more of the following:

  • Snowflake
  • Databricks
  • Microsoft Fabric
  • Azure Data Factory
  • Apache Spark
  • dbt
  • Airflow
  • Git and CI/CD
  • Docker or Kubernetes
  • REST APIs
  • Power BI
Why Join G2M?

At G2M, data engineers don't simply move data—they build modern decision intelligence platforms that executives use to make critical business decisions. You'll work across cloud engineering, analytics, AI, and consulting while gaining exposure to enterprise-scale architectures and emerging AI technologies.

NOTE: We are sourcing candidates from the greater Denver area. Remote candidates will not be considered.

G2M Insights is an equal opportunity employer and values diversity in the workplace. We encourage applicants of all backgrounds and experiences to apply.

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