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Entry Level Microsoft Data Engineer Jobs (NOW HIRING)

LaunchCode

Data Engineer

Saint Louis, MO · On-site

$51.74 - $60.65/hr

The Data Engineer is responsible for designing, building, and maintaining systems for collecting ... Strong understanding of Microsoft data management tools and Azure administration. * Strong ...

Lantern

Data Architect

Dallas, TX · On-site

$63 - $81/hr

Provide strategic guidance on leveraging Microsoft Data Platform technologies (such as Fabric, Azure Synapse, Power BI, etc.) for data warehousing, data engineering, semantic modeling, analytics ...

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Exposure to Microsoft Azure technologies such as Azure Data Factory, Azure SQL Database, or Azure ... Why This Opportunity? This is more than an entry-level Data Engineering position-it's an ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

K&L Gates

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking an experienced Data Engineer with a strong focus on Microsoft Fabric to design, implement, and maintain enterprise data solutions. The ideal candidate will have a minimum of 2 years of ...

THE PRUITT GROUP LLC

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Your in-depth knowledge of Microsoft technologies and proficiency in Azure Data Factory will be key ... Diagnose and resolve data engineering challenges, debugging pipelines and processes to uphold ...

QTech US Inc

Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

We are looking for a skilled Data Engineer to join our team in Houston, TX. The ideal candidate will have strong experience in PySpark, Microsoft Azure, Azure Data Factory (ADF), SQL, and Data ...

Judge Group, Inc.

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

The Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft Fabric, significantly contributing to the organization ...

Bumble Bee Seafoods

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

BUMBLE BEE FOODS, LLC

Data Engineer

San Diego, CA · On-site

$122K - $130K/yr

This role focuses on data ingestion, transformation, modeling, and platform reliability, with Microsoft Fabric as the primary data engineering and analytics platform. The Data Engineer will work ...

Invesco

Microsoft 365 Engineer

Houston, TX · On-site

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 ...

Invesco

Microsoft 365 Engineer

Atlanta, GA · 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 ...

Invesco

Microsoft 365 Engineer

Louisville, KY · 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 ...

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.

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 ...

Interactive Process Technology LLC

Data Engineer

$150K/yr

Data Engineer Remote At IPT Associates (IPTA), we enjoy solving real-world problems with technology ... Use A365 and Microsoft tools such as Dataverse, Power Platform, Power Automate, Power Apps ...

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Entry Level Microsoft Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 27, 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 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 are the key skills and qualifications needed to thrive as an Entry Level Microsoft Data Engineer, and why are they important?

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 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.

More about Entry Level Microsoft Data Engineer jobs
What cities are hiring for Entry Level Microsoft Data Engineer jobs? Cities with the most Entry Level 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 job categories do people searching Entry Level Microsoft Data Engineer jobs look for? The top searched job categories for Entry Level Microsoft Data Engineer jobs are:
Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 14% Temporary, and 14% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

LaunchCode

Saint Louis, MO • On-site

$51.74 - $60.65/hr

Full-time

Posted 21 days ago

Job description

Description
Pay: $51.74-60.65/hour + LaunchCode benefits
Location: Hybrid in St Charles, MO (3 days onsite, 2 remote)
Job type: Contract-to-hire (beginning with 6-month contract term)
Company: The name of our partner organization will be disclosed during the interview process. This is not a direct role with LaunchCode; it is a position through LaunchCode, working with one of our partner companies.
Disclaimer: We are unable to provide work sponsorship for this role. We are unable to consider candidates for this role who have a current or future work sponsorship need (this includes those holding extended OPT Visas).
The Data Engineer is responsible for designing, building, and maintaining systems for collecting, storing, and analyzing data at scale from disparate sources. This role collaborates with stakeholders across the organization to ensure data environments meet business and user needs. Responsibilities include technical support, system upgrades, documentation, integration monitoring, and maintaining security configurations.
Responsibilities
  • Collaborate with stakeholders to understand reporting and data analysis objectives.
  • Design, implement, document, and maintain data lakes and related architectures.
  • Prepare the data environment for artificial intelligence (AI) adoption and usage.
  • Recommend solutions or alternative methods to meet business requirements.
  • Provide technical support to department users of data systems.
  • Develop and maintain system documentation including user manuals and technical guides.
  • Manage system upgrades and enhancements, including testing and documentation updates.
  • Troubleshoot data access and manipulation issues and provide timely solutions.
  • Develop and implement security policies and ensure compliance with governance standards.
  • Create algorithms and data validation methods to transform data into actionable insights.
  • Monitor system and integration performance and identify opportunities for improvement.
  • Participate in planning and implementation of system-related initiatives.
  • Collaborate with internal teams and external vendors regarding upgrades, fixes, and integrations.

Required Qualifications
  • Bachelor's degree in Computer Science or related field.
  • Minimum 3 years of experience working with Microsoft Data Products, including Azure Database and Power Platform.
  • Strong understanding of university or business data processes.
  • Experience with database design, star schema modeling, and data lake configuration.

Skills
  • Strong understanding of Microsoft data management tools and Azure administration.
  • Strong organizational, written, and verbal communication skills.
  • Ability to work effectively with diverse teams and stakeholders.
  • Knowledge of data structures, database tools, and technical documentation.
  • Ability to troubleshoot and resolve data-related issues efficiently.

Abilities
  • Ability to work effectively at a computer for extended periods.
  • Ability to sit for long durations and maintain regular attendance.
  • Ability to manage large-scale data projects with accuracy and attention to detail.
  • Preferred Qualifications
  • Experience with AI readiness, data automation, and cloud technologies.
  • Experience with SQL, Python, or other scripting languages.
  • Experience working in higher education or structured enterprise data environments.

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