2369 Big Data Engineer jobs in Atlanta,GA

Manager, Data Engineering

Cargill

Atlanta, GA 30334

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Data Engineer– Healthcare Analytics Platform

Guidehouse Careers

Atlanta, GA 30349

New, Posted 1 day ago

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Systems Engineer Stf - Level 4

Lockheed Martin

Marietta, GA 30063

Paid Relocation to Marietta, GA

~ 22 min OnsiteFlexible SchedulePaid Time Off

Bachelor's degree or higher in Engineering or Computer Science discipline.
Experience working proposals, contracts and/or process development and Improvement
Experience in Project Planning and/or Project Management
Experience communicating with multi-disciplined engineering teams
Experience working with Microsoft Project and/or One Plan
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a secret clearance.
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret

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Analytics Engineer

Cox Automotive

Hapeville, GA 30354

OnsiteFlexible SchedulePaid 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.
Must live within a commutable distance to the Atlanta office
Bachelors Degree and 6+ years experience or 18 years related experience
Intermediate SQL programming skill
Intermediate knowledge of SQL-based relational databases
Previous experience with ETL processing of big data
Required: 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake).
Required: 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau).
Required: Microsoft Office Suite, specifically strong Excel proficiency.
Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment
Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics.
Must be able to learn and use AI/GenAI capabilities as part of the analytics operations workflow, including leveraging large language models for code generation, documentation, data quality analysis, and process automation.
Must be able to travel by land and/or air for same-day or overnight business trips (up to 5%).
Must be able to work directly with vendors to resolve issues, to drive technological advances, and on long-term projects/initiatives.
Must be able to learn and use analytics and other relevant technologies (e.g., web analytics tools, SQL-based databases, data visualization software, AI/GenAI capabilities).

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Director, AI Engineer

KPMG

Atlanta, GA 30349

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Senior Reliability Engineer

Anduril Industries

Atlanta, GA 30349

OnsiteHealth Insurance

Minimum of 8 years experience as a Reliability Engineer, Design/Development Engineer, or Test Engineer
B.S. Degree in Mechanical Engineering, Aerospace Engineering, Systems Engineering, or equivalent technical discipline
Experience with safety-critical hardware & software systems in the defense or aerospace industry
Experience or familiarity with MIL-STD-810, MIL-HDBK-217, MIL-STD-461, MIL-STD-516C, and MIL-STD-1629
Experience setting up a Reliability Engineering framework for a product or program, including support of production testing, field testing, data acquisition, and data analysis
Expertise in reliability analysis techniques, including FMEA/FMECA, predictive modeling, Weibull analysis, and Fault Tree Analysis
Experience with generating qualification testing requirements and executing tests to proactively characterize product behavior and performance
Failure investigation/analysis experience with proven track record of solving problems and preventing reoccurrence
Design Review Experience (PDR, CDR, MRR) and confidence in presentation skills across all levels of leadership
Eligibility to obtain/maintain a U.S. Secret clearance, as required

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Manager, Data Analytics

McKesson

Atlanta, GA 30361

Hybrid

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

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Sr. Project Engineer - Industrial Construction

MasTec Industrial

Atlanta, GA 30349

$130,000-$160,000/yr

New, Posted 1 hour ago

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Machine Operator - Tube Laser - 2nd Shift

Metals USA - Plates & Shapes

Atlanta, GA 30349

$20/hr

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System Engineer 2 [211060]

Aquent Talent

Atlanta, GA 30349

$42/hr

HybridFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in a technical field such as electrical engineering, network engineering, computer science, or related field experience.
2-4 years of experience in a systems engineering, site engineering, or technical support role.
Proven experience setting up and troubleshooting wired and wireless networks.
Prior experience working on construction projects supporting electrical systems, networks, or building management systems.
Demonstrated understanding of construction site safety practices.
Ability to work efficiently, prioritize workflow, and meet demanding deadlines.
Strong collaborative skills to plan and execute key deliverables with teammates.
Willingness to travel occasionally to project sites for onsite support.
Crucially, candidates must possess hands-on test equipment or hardware experience; those with only software/programming experience will not be eligible.

SmartExplore AI is experimental.