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Entry Level Microsoft Data Engineer Jobs in Atlanta, GA

SQL Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

RIT Solutions, Inc. is seeking a SQL Data Engineer to work with the development team on their ... database (Microsoft SQL Server) • Experience with SQL, PLSQL, T-SQL, Hadoop, python, java ...

Fabric Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Required Skill and Experience • Experience in Data Engineering or Analytics Engineering roles. • Expertise in analytical data modelling. • Hands-on experience with Microsoft Fabric or Azure ...

Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Currently we are searching for a Data Analytics Engineer 4 to fulfill an immediate full-time ... Exposure to Microsoft Power Platform technologies (Power Apps and Power Automate) or application ...

Senior DS engineer

Alpharetta, GA · On-site

$100K - $136K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache Spark, Hadoop, Kafka • Familiarity with data warehousing concepts • Understanding of CI/CD and DevOp ...

Data Architect

Atlanta, GA · On-site

$62.25 - $80/hr

Data Engineering on Microsoft Azure, etc.,) Technical Skills, tools: * Azure Cloud technologies: * Must Have: ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics, Azure DevOps:-Boards ...

Showing results 21-40

Entry Level Microsoft Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

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

As of Aug 11, 2026, the average yearly pay for entry level microsoft data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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?

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.

What are the most commonly searched types of Microsoft Data Engineer jobs in Atlanta, GA? The most popular types of Microsoft Data Engineer jobs in Atlanta, GA are:
What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Atlanta, GA? For Entry Level Microsoft Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Microsoft Data Engineer jobs in Atlanta, GA look for? The top searched job categories for Entry Level Microsoft Data Engineer jobs in Atlanta, GA are:
Infographic showing various Entry Level Microsoft Data Engineer job openings in Atlanta, GA as of July 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $124,743 per year, or $60 per hour.

$110K - $132K/yr

Full-time

Re-posted 15 hours ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a SQL Data Engineer to work with the development team on their legacy claim auditing system. The role involves analyzing needs and ensuring solutions align with current architecture while also considering future enhancements.
Responsibilities:
• Develops and maintains positive working relationships with others
• Passionate about technology and enjoys continuously learning
• Proactively takes up the tasks and assists colleagues unprompted
• Shares ideas and information
• Takes pride in the achievement of team objectives
• Self-motivated – driven to achieve results
• Handles confidential information with sensitivity
• Should have good communication and interpersonal skill
• Good knowledge of the medical claim, member and provider data.
• Should have worked on agile based projects.
• Modify existing programs to new standards and conduct unit testing of developed programs.
• Create migration packages for system testing, user testing, and implementation.
Qualifications:
Required:
• Develops and maintains positive working relationships with others
• Passionate about technology and enjoys continuously learning
• Proactively takes up the tasks and assists colleagues unprompted
• Shares ideas and information
• Takes pride in the achievement of team objectives
• Self-motivated – driven to achieve results
• Handles confidential information with sensitivity
• Should have good communication and interpersonal skill
• Good knowledge of the medical claim, member and provider data
• Should have worked on agile based projects
• Modify existing programs to new standards and conduct unit testing of developed programs
• Create migration packages for system testing, user testing, and implementation
• Masters or bachelor's in engineering in IT/ Electronics / Communication / Computer Science / Information Systems
• Extensive experience with large datasets and relation database (Microsoft SQL Server)
• Experience with SQL, PLSQL, T-SQL, Hadoop, python, java knowledge
• Experience in SQL optimization and tuning of SQL queries using SQL profiler and query execution plan
• Experience with ETL processes
• Experience with QA with SQL environment
• Experience in Agile environments
• In-depth understanding of SDLC
• Experience with addressing operational data issues
• Experience with Healthcare data and health forms
• Experience in advanced analytics
• Experience with data issues to ensure optimal performance
Preferred:
• Knowledge of SAFe (Scaled Agile Framework) or any other agile framework
• Python, PySpark, Cloudera Hadoop
• Excellent verbal and written communication skills
• Strong organizational skills and adaptability to rapidly changing priorities and workloads
• Ability to work well independently and maintain focus in a highly dynamic work environment
• Comfort in working with team members that are remote and located in the US, India or other geographies
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.