1741 Big Data Engineer jobs in Alpharetta,GA

5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
Bachelor's degree in Electrical Engineering or a related field
Ability and willingness to travel domestic and internationally for up to 25% of the year.

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New, Posted 8 hours ago

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Data Center Technician 1

Databank Holdings

Atlanta, GA 30350

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Manager, Data Analytics

McKesson

Atlanta, GA 30361

Hybrid~ 30 min

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years in analytics, business intelligence, or a similar role.
Strong communication skills, both directions: you can extract requirements from business teams who don't speak technical, and you can explain your solutions to people who don't write code
Skilled in SQL with hands-on experience building dashboards in at least one major BI platform (Power BI, Tableau, or Looker)
Strong Python skills, not just scripting, but writing clean, maintainable code for ETL, API integrations, and automation
Skilled in working with cloud data platforms (Snowflake, Databricks, or similar), not just familiarity but hands-on delivery experience
Solid understanding of data modeling and BI best practices
Familiarity with AI/ML concepts and where they practically apply to reporting and business workflows
Experience replacing or modernizing RPA automations
Background in healthcare, pharma, or distribution
On-site at our Las Colinas office a minimum of two (2) days per week with the remaining days worked remotely
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role
McKesson is an Equal Opportunity Employer

SmartExplore AI is experimental.

New, Posted 1 day ago

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Manufacturing Engineer

Satellite Industries

Dawsonville, GA 30534

~ 36 min Onsite

Bachelor's degree or higher in Industrial Engineering or a related field
3 to 5 years of experience in Manufacturing Engineering
Lean Manufacturing principles
Aptitude for analyzing data to make recommendations
Excellent communication skills and collaboration skills
Excels at documenting processes and making improvements to the process
Strong understanding of manufacturing processes and principles
Ability to take on projects outside their scope of work
Self-directed to meet the outlined KPIs for the job
Proficient in SolidWorks / AutoCAD
While performing the duties of this job, the associate is regularly required to stand and walk for extended periods of time and to use hands to finger, handle or feel objects, tools or controls.
The associate is required to reach with hands and arms, stoop, kneel or crawl over, under and around equipment.
The associate is required to frequently work from heights.
May be exposed to vibrations.
The associate must regularly lift and/or move up to 25 pounds frequently, move up to 50 pounds occasionally.
Specific vision abilities required include close vision, peripheral vision, color vision, depth perception and the ability to adjust focus.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Senior Software Engineer AI Platforms

Cisco Systems

Atlanta, GA 30350

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Senior Manufacturing Engineer, Digital Tools

Anduril Industries

Atlanta, GA 30349

~ 30 min OnsiteHealth Insurance

Bachelor's degree in Manufacturing Engineering, Industrial Engineering, Software Engineering, User Experience Design, or related field.
8+ years of experience in a digital manufacturing environment, including familiarity with MES, ERP, and PLM systems and how they interface with each other and with operations.
High sense of user empathy and the ability to manage and communicate with stakeholders.
Ability to quickly understand current operations and potential issues on the product line and can speak the language.
Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements
Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.
Ability to work collaboratively in a team environment and lead cross-functional projects.
Adept at managing multiple priorities in a fast-paced manufacturing environment.
Must be a U.S. Person due to required access to U.S. export controlled information or facilities

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Machine Learning Lead Engineer

Cox Automotive

Sandy Springs, GA 30350

OnsitePaid Time Off

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
Bachelor's degree in a related discipline and 6 years' experience in Machine Learning; or a different combination, such as a master's degree and 4 years' experience; a Ph.D. and 1 years' experience in a related field; or 18 years' experience in a related field with no degree
Minimum of 6 years of experience as a Machine Learning Engineer or equivalent
Deep expertise in multiple ML domains and familiarity with emerging research areas
Strong experience in technology evaluation, competitive analysis, and strategic planning
Comfortability with non-deterministic systems
Product background- understand how to prioritize, collaborate across teams, manage dependencies with others, set strategy
Experience in Rally, Jira or similar tools
Skilled in analytical thinking, consulting, requirements analysis, system and technology integration and technology savvy.
Skilled in collaborating with intent, communicating with impact, developing trust, driving innovation and striving for excellence.
Proven track record of leading innovative projects from concept to proof-of-concept
Demonstrated success in knowledge sharing and thought leadership (publications, speaking, etc.)
Experience building and leading high-performing research or innovation teams
Excellent communication skills for technical and executive audiences
Strong network within the ML research community
Experience with research collaboration and partnership development
Proficiency in AI development tools (GitHub Copilot, Claude, GPT-4) for ML development with ability to validate AI outputs for production readiness.
Understanding of agentic frameworks (AWS AgentSquad, AWS Strands, LangChain, agent patterns) with progression from basic configuration to custom enterprise system design.
Knowledge of AI ethics, responsible AI practices, and governance frameworks for business-critical ML deployment.
Ability to leverage AI like Co-Pilot for technical communication to stakeholders and cross-functional collaboration.
Commitment to continuous learning in AI-augmented data science and responsible AI use.