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Day Azure Databricks Jobs in Georgia (NOW HIRING)

Booz Allen Hamilton

Database Administrator

Atlanta, GA · On-site

$86K - $198K/yr

... Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics * Experience in data ... This posting will close within 90 days from the Posting Date. Identity Statement As part of the ...

USEReady

Cloud Solutions Architect

Alpharetta, GA · On-site

$62 - $85/hr

Job Location: Alpharetta, GA (5 days onsite) .. Need local / candidates in EST , CST who can ... Cloud Solution Architecture - Azure * Platform Engineering - Snowflake or Databricks * AI ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

For the first 90 days, New Hires must be prepared to work 100% onsite M-F Honeywell helps ... Deep expertise in Apache Spark / PySpark with production experience on Azure Databricks at scale.

Honeywell

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

For the first 90 days, New Hires must be prepared to work 100% onsite M-F Honeywell helps ... Deep expertise in Apache Spark / PySpark with production experience on Azure Databricks at scale.

Floor & Decor

Senior Developer - Platform Engineer

Atlanta, GA · On-site

$116K - $153K/yr

Your Day Consists Of * Owning and administering our Databricks on Azure platform, including Unity Catalog, cluster policies, governance standards, security, and access controls. * Monitoring platform ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

... Azure Databricks platform. LOCATION: Hybrid - at least 3 days a week in one of our EPIC offices, preferably San Ramon CA but open to any of our office locations (for a full list, visit: WHAT YOU'LL ...

US Bank

Data & Insights Analyst

Atlanta, GA · Hybrid

Experience working with cloudbased platforms such as Azure, Databricks, and Snowflake * Working ... days. This position is not eligible for visa sponsorship. If there's anything we can do to ...

AXIS Capital

Data Engineer

Alpharetta, GA · Hybrid

$111K - $134K/yr

Strong Azure data platform expertise (Databricks, ADF, Synapse, Event Hubs, Functions, ADLS Gen2 ... day to day manual work. * Experience integrating Azure Data Services with Power BI and AI/ML ...

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All JobsDay Azure Databricks JobsDay Azure Databricks Jobs in Georgia

Day Azure Databricks information

What is the difference between Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

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Day Azure Databricks jobs near you
Marketing Data Analytics Manager

Marketing Data Analytics Manager

United Parcel Service of America, Inc.

Atlanta, GA • On-site

Full-time

Posted 6 days ago

UPS Supply Chain Solutions rating

6.8

Company rating: 6.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

37th of 63 rated delivery companies

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Job Summary
Lead enterprise Business Intelligence (BI) capabilities through the strategic use of AI, machine learning, and advanced analytics. This role manages BI, data engineering, and analytics to deliver scalable AI-enabled insights, decision intelligence platforms, and self-service analytics solutions that drive revenue growth, operational efficiency, and customer experience improvements.
The position oversees the transformation of complex data into actionable insights using BI reporting, visualization, predictive analytics, automation, and generative AI. It partners across business and technology teams to implement modern analytics solutions and accelerate data-driven decision making.
Key Responsibilities
  • Define and execute AI-driven BI strategy aligned to enterprise priorities.
  • Lead teams delivering dashboards, analytics products, and AI-powered insights.
  • Develop predictive and prescriptive analytics to support business decisions.
  • Evaluate and implement emerging AI/ML, generative AI, and automation technologies.
  • Partner with engineering teams to build scalable data pipelines and governed data models.
  • Ensure data quality, governance, and accessibility across BI platforms.
  • Translate business needs into analytics and AI use cases for executive stakeholders.
  • Communicate insights through dashboards, storytelling, and executive presentations.
  • Collaborate across pricing, revenue management, operations, and technology teams.
  • Drive automation and continuous improvement initiatives to improve speed-to-insight and business performance.

Required Qualifications
  • 3-5 years of experience in fast-paced, data-driven environments.
  • Proficiency in Python and SQL.
  • Experience with cloud platforms such as Azure and Google Cloud.
  • Ability to translate business problems into analytical and AI-enabled solutions.
  • Demonstrated success delivering impactful analytics or AI initiatives end-to-end.
  • Strong analytical methodology and problem-solving skills.
  • Effective presentation and storytelling skills using PowerPoint and data visualization tools.

Bonus Qualifications
  • Experience with pricing methodologies and revenue management.
  • Experience implementing or operationalizing AI and machine learning solutions.
  • Experience with PySpark, Azure Databricks, Google BigQuery, and Vertex AI.
  • Exposure to neural networks or advanced AI methodologies.

The position is based in Atlanta, Georgia and will require commuting to the office. Employer will not sponsor a visa for this position. Candidates must be currently in the same geographic location or willing to relocate independently.
Job Grade: 30E
Last day to apply internally: 05/22/26 @ 11:59pm EST
Employee Type:
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Other Criteria:
UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.
Basic Qualifications:
Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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