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Remote Microsoft Data Engineer Jobs in Cumming, GA

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

See us at Position Summary As a Lead Systems Engineer - Data at Bravo17, you will elevate data ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

Microsoft Copilot Studio * Azure AI Foundry * Implement context management strategies (embeddings ... Data quality monitoring * Stakeholder Q&A and decision support * Integrate AI systems with ...

Federal Reserve Bank of Richmond

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Enable advanced analytical capabilities for researchers and developers. * Partner with the ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

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Remote Microsoft Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

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

As of Sep 7, 2026, the average yearly pay for remote microsoft data engineer in Cumming, GA is $115,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,700.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

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 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.

What are popular job titles related to Remote Microsoft Data Engineer jobs in Cumming, GA?

For Remote Microsoft Data Engineer jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Remote Microsoft Data Engineer jobs in Cumming, GA look for?

The top searched job categories for Remote Microsoft Data Engineer jobs in Cumming, GA are:

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Cities near Cumming, GA with the most Remote Microsoft Data Engineer job openings:

Remote Microsoft Data Engineer jobs near you

Workforce Planning Data Scientist - Remote

CBRE

Atlanta, GA • On-site, Remote

Full-time

Posted 19 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

112th of 500 rated business services

Job description

About the Role:
The Workforce Planning Data Scientist will turn complex recruiting, staffing, workforce, and operational data into clear insights that enable better and faster business decisions.
This role blends data analytics, dashboard development, workforce forecasting, and foundational data engineering. The successful candidate will be comfortable working with large and complex datasets, reconciling information from multiple sources, developing scalable reporting solutions, identifying trends, and translating findings into practical recommendations for recruiting and workforce leadership.
While this is not a traditional Data Scientist or Data Engineer position, the role requires someone who can think beyond reporting what happened. The analyst should be able to determine why it happened, what is likely to happen next, and what actions should be considered as a result.
What You'll Do:
Workforce Analytics & Decision Support
  • Analyze workforce, recruiting, staffing, attrition, requisition, offer, start, and productivity data to identify trends, risks, and opportunities.
  • Evaluate staffing performance across sites, business units, roles, and time periods.
  • Analyze historical attrition patterns to identify where future hiring demand is likely to occur.
  • Develop models and recommendations that help determine when and where requisitions should be opened proactively.
  • Identify trends across weekly, monthly, quarterly, and historical workforce performance.
  • Analyze relationships between staffing levels, attrition, hiring activity, requisition volume, recruiter productivity, and hiring outcomes.
  • Conduct ad hoc analyses in response to evolving workforce and leadership priorities.
Forecasting & Predictive Analysis
  • Build workforce forecasts incorporating staffing requirements, active headcount, attrition, projected starts, hiring velocity, and historical trends.
  • Identify emerging staffing risks before they materially impact operations.
  • Develop scenario analyses to evaluate different hiring and attrition assumptions.
  • Identify leading indicators that can improve workforce planning and recruiting decisions.
  • Assess whether workforce and recruiting performance is trending toward or away from established targets.
Dashboard Development & Visualization
  • Design and maintain intuitive dashboards that translate complex datasets into clear, actionable information.
  • Develop reporting for staffing health, recruiter productivity, requisition aging, time to offer, hiring outcomes, attrition, projected starts, and workforce demand.
  • Create leadership level views that allow users to quickly understand performance, risks, trends, and required actions.
  • Continuously improve dashboards based on business needs and user feedback.
Data Management & Engineering
  • Work with multiple data sources and large datasets that may contain hundreds of thousands to millions of records.
  • Clean, transform, combine, and structure data for analysis and reporting.
  • Understand data pipelines, relationships, joins, data models, and source/system dependencies.
  • Partner with Data Engineering and BI resources on more complex data architecture and pipeline requirements.
  • Automate repeatable reporting and data preparation processes when practical.
  • Troubleshoot data inconsistencies and reconcile conflicting numbers across systems
Data Quality & Governance
  • Validate and reconcile workforce metrics before they are used for business decisions.
  • Identify data quality issues, missing information, duplicate records, inconsistent definitions, and source/system discrepancies.
  • Establish clear metric definitions and calculation logic.
  • Ensure leadership reporting is consistent, repeatable, and explainable.
What You'll Need:
  • Bachelor's Degree preferred with 5 plus years of relevant experience in talent acquisition analytics, workforce planning, or people analytics. In lieu of a degree, a combination of experience and education will be considered.
  • Demonstrated experience analyzing complex, high volume datasets.
  • Strong experience developing dashboards and executive level reporting.
  • Experience performing trend analysis, forecasting, and scenario modeling.
  • Demonstrated ability to reconcile data across multiple systems and identify data quality issues.
  • Experience translating complex analytical findings into understandable business recommendations.
  • Workforce planning, recruiting analytics, HR analytics, operations, or high-volume staffing experience strongly preferred.
  • Advanced SQL
  • Advanced Excel, including Power Query, PivotTables, XLOOKUP/INDEXMATCH, complex formulas, and large dataset management
  • Power BI dashboard development experience
  • Data modeling and relational database concepts
  • ETL/ELT concepts
  • Python, particularly Pandas and NumPy
  • Familiarity with APIs and automated data ingestion
  • Experience with cloud data environments or data warehouses
  • Familiarity with Power Automate or similar workflow automation tools
  • Experience with ATS, HRIS, workforce management, or recruiting datasets
  • Experience building workforce planning or capacity models
  • Understanding of basic regression, correlation, seasonality, and forecasting methodologies

Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).
CBRE GWS
CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.
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What CBRE employees say

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Benefits

Hours and flexibility

Workplace

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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