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Entry Level Microsoft Data Engineer Jobs in Georgia

Pwc

AI & GenAI Data Scientist - Manager

Atlanta, GA

$99K - $232K/yr

... data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Armaninollp

Data & AI Platform Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Armaninollp

Data & AI Platform Engineer

Brunswick, GA · On-site

$103K - $124K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Armaninollp

Data & AI Platform Engineer

Duluth, GA · On-site

$105K - $126K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Jobsultant Solutions

Data Analyst

Atlanta, GA · On-site

... data engineers to design and construct data pipelines for reproducible analysis Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark ...

T-Mobile

Sr Engineers, Data

Atlanta, GA · On-site

$101K - $138K/yr

Senior Engineers, Data located in Atlanta, GA will develop data engineering solutions, including ... Microsoft SQL Server, Teradata, Oracle, Snowflake, Azure, Databricks). * Act as a liaison with the ...

Caresoft Inc.

Analytics Engineer

Atlanta, GA · On-site

Title: Analytics Engineer Duration : Long term Location: Atlanta, Georgia 30334(Hybrid) Skills ... data transformation, querying, and optimization. Azure Databricks (Spark, Delta Lake) Microsoft ...

Tmhcc

Data Analyst

Kennesaw, GA · Hybrid

This role partners with business subject matter experts (SMEs) to understand reporting requirements, collaborates with engineering teams to source and prepare data within Azure and Microsoft Fabric ...

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Entry Level Microsoft Data Engineer information

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.

What are the most commonly searched types of Microsoft Data Engineer jobs in Georgia?

The most popular types of Microsoft Data Engineer jobs in Georgia are:

What are popular job titles related to Entry Level Microsoft Data Engineer jobs in Georgia?

For Entry Level Microsoft Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Microsoft Data Engineer jobs in Georgia look for?

The top searched job categories for Entry Level Microsoft Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Microsoft Data Engineer jobs?

Cities in Georgia with the most Entry Level Microsoft Data Engineer job openings:

Entry Level Microsoft Data Engineer jobs near you
Infographic showing various Entry Level Microsoft Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

AI & GenAI Data Scientist - Manager

Atlanta, GA

Pwc
Finance and Insurance • 10K+ employees
Learn more about Pwcexternal

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

What PwC employees say

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Benefits

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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