associate data scientist - decision analytics

data analyst

senior data engineer

ai engineer

associate data scientist

associate data scientist - decision analytics Jobs in Atlanta

data engineer

Cushman & Wakefield

<div><p><b>Job Title</b></p>
Data Engineer<p></p><p><b>
Job Description Summary</b></p>
Key Objectives:<br>
<br>
Supports the development, optimization, and maintenance of Cushman &amp; Wakefield&rsquo;s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems.<br>
<br>
Operate as a self-sufficient data practitioner, capable of independently delivering data solutions or working side-by-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis.<br>
<br>
Works closely with senior economists, analytics leads, and technical teams to deliver high-quality, production-ready data solutions that underpin the firm&rsquo;s House View and related analytical products.<p><b>
Job Description</b></p><p><b>
Time Series Data Engineering, Maintenance &amp; Automation (40%)</b></p><ul><li>Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models.</li><li>Ensure data integrity and consistency across all QIG&rsquo;s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources.</li><li>Work closely with cross-functional partners to define, refine, and validate data quality rules, using both automated checks and hands-on analysis to ensure outputs meet analytical expectations.</li><li>Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies.</li><li>Partner with PRI (Property Research &amp; Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography-based competitive sets can occur.</li><li>Collaborate with PRI, TDS/GIS and other QIG teams to integrate internal and external data sources into infrastructure deployed by QIG teams.</li><li>Ensure Global Think Tank, Americas Research and other stakeholders have access to relevant time series (and forecast) data via various tools and capabilities in coordination with QIG leads. Work iteratively with partners to refine data outputs, validate usability, and adjust underlying pipelines or transformations as needed to meet evolving analytical requirements.</li></ul><p></p><p><b>
Technical Support (40%)</b></p><ul><li>Create and maintain documentation of any synthetic data model architecture, data flows, and diagnostic procedures. Have strong grasp of field-level data lineage and traceability to support transparency, reproducibility, and downstream analytical confidence.</li><li>Partner with Head of Data Science &amp; Geospatial Analytics to build state-of-the-art, novel real estate dataset, with additional relevant data geospatially integrated (e.g., demographics, socioeconomic data, zoning or flood maps, climate or walk score information); produce detailed specifications that guide engineering implementation.</li><li>Develop internal documentation and process automation, and serve as expert on the integration, application and processing of internal data, 3rd party vendor data and other public data (e.g., Census TIGER, IPUMS) as appropriate with QIG leads.</li><li>Advise, integrate and execute normalization methods with internal and external partners, co-developing approaches with technology teams when necessary and validating outputs through hands-on implementation and analysis.</li><li>Identify new data use cases for proprietary data, ensure appropriate cleaning and normalization techniques so data can be used in statistical, econometric and other commercial analytics applications.</li></ul><p></p><p><b>
Infrastructure Enhancement &amp; Collaboration (20%)</b></p><ul><li>Contribute to evolution of the QIG data infrastructure by identifying opportunities for efficiency gains, automation, and scalability.</li><li>Support the integration of emerging technologies (e.g., ML/AI, advanced lakehouse patterns) into data workflows under guidance from senior team members through hands-on experimentation, prototyping, or coordination with TDS as needed.</li><li>Coordinate with TDS and PRI on internal data and technology initiatives; contributing hands-on development or feedback where appropriate to scale, optimize, and productionize solutions in support of QIG capabilities.</li><li>Serve as the key liaison for all external data dependencies; monitor the evolution of 3rd party data products and capabilities, assess their fit against QIG analytical requirements, and produce intake specifications when new sources are approved for integration. As needed, partner with technology teams to evaluate and integrate internally managed data sources.</li><li>When/where appropriate, maintain a living requirements register and change log that tracks open data engineering requests, their status in the TDS backlog, acceptance criteria, and QIG sign-off outcomes.</li></ul><p></p><p><b>
Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Engineering, Data Science, Computer Science, Statistics, or a related technical field. Advanced degree a plus.</li><li>5-7 years of experience in data engineering or a hybrid analytical/engineering role, preferably in a forecasting or analytics/production environment. Real estate experience a plus.</li><li>Strong proficiency in Python/R, SQL, Databricks, Delta Lake and data pipeline frameworks (e.g., medallion architecture).</li><li>Experience with time series data, econometric / data science modeling workflows, and automation tools.</li><li>Familiarity with cloud platforms (e.g., Azure, AWS) and version control systems.</li><li>Demonstrated ability to operate in a collaborative, cross-functional environment, contributing both independently and alongside engineering and analytical teams to deliver data solutions.</li><li>Comfort working in iterative development settings, balancing hands-on execution with stakeholder collaboration and continuous feedback.</li><li>Strong attention to detail and commitment to data quality.</li><li>Excellent documentation, communication, and stakeholder management skills; comfortable operating as the technical translator between analytical domain experts and data engineering teams (when appropriate).</li><li>Excellent documentation and communication skills for technical audiences. Ability to participate meaningfully in engineering discussions.</li><li>Exposure to geospatial data concepts and CRE or macroeconomic datasets.</li><li>Experience working with agile/scrum delivery models in a data and analytics context.</li></ul><br>
<p></p>
Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.<br>
<p></p>
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications.<br>
<p></p>
The company will not pay less than minimum wage for this role.<br>
<p></p>
The compensation for the position is: $ 114,750.00 - $135,000.00<p></p>
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.<p></p><p>
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at <b>1-888-365-5406</b> or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.</p><p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

Georgia-Pacific

<div><b>Your Job</b><p>
As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets. You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.</p><p>
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.</p><p><b>
Our Team</b></p><p>
The Georgia Pacific Data Platform team builds, manages, &amp; operates centralized products that support Georgia Pacific's Business Units and IT. These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.</p><p><b>
What You Will Do</b></p><br>
<ul><li>
Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure
</li><li>Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers
</li><li>Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools
</li></ul><p><b>Who You Are (Basic Qualifications)</b></p><br>
<ul><li>
Experience designing, building, and maintaining large-scale distributed systems
</li><li>Experience serving as a senior technical leader overseeing multiple data engineering teams
</li><li>Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms
</li><li>Experience leading operations for highly available data platforms and data lakes
</li><li>Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns
</li><li>Must have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship
</li></ul><p><b>What Will Put You Ahead</b></p><br>
<ul><li>
Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)
</li><li>Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)
</li><li>Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives
</li></ul><p>At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.</p><p><b>
Hiring Philosophy</b>
</p><p>All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.</p><p><b>
Who We Are</b></p><p>
As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30,000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.</p><p>
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.</p><p><b>
Our Benefits</b>
</p><p>Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.</p><p><b>
Equal Opportunities</b>
</p><p>Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please visit the following website for additional information: http://www.kochcareers.com/doc/Everify.pdf
</p><p>#LI-RR1</p></div>

Lead Data Engineer

Blu Omega LLC

<div><div><b>Senior Data Engineer</b><br>
<b>Atlanta, GA / Hybrid</b><br>
<b>Clearance Level and/or eligibility Required</b><br>
</div><div>Blu Omega is seeking a Senior Data Engineer to support a federal program focused on data management and transformation. This role operates within a government environment and is responsible for designing and maintaining scalable data pipelines, data architecture, and infrastructure to support analytics and data science initiatives. The position requires extensive experience supporting data ecosystems, with a focus on providing analysis-ready solutions to inform leadership decisions.<br>
</div><div><b>Program Overview</b><br>
<b>Mission overview:</b> Supporting large-scale data modernization efforts within a government health agency.</div>
<div><br>
<b>Key Details</b><br>
<b>Location:</b> Atlanta, GA / Hybrid<br>
<b>Clearance:</b> Public Trust Eligibility<br>
<b>Work Authorization:</b> U.S. Citizenship or Permanent Residency is required as a precondition of employment.<br>
<b>Schedule: </b>Standard business hours; onsite 1-2 days per week</div>
<div><br>
<b>Responsibilities</b></div>
<ul><li>Design, implement, and maintain enterprise-grade ETL/ELT pipelines using Python and SQL
</li><li>Build, optimize, and manage data models, warehouses, and lakehouse environments (e.g., Databricks)
</li><li>Develop processes for ingesting, cleaning, validating, and transforming large-scale datasets from APIs, relational sources, and unstructured systems
</li><li>Implement data quality, metadata management, and governance controls to ensure consistency and trust in analytics workflows
</li><li>Collaborate with cloud engineering teams to deploy and manage data solutions on Azure
</li><li>Monitor, troubleshoot, and improve pipeline performance using logging, alerting, and CI/CD practices
</li><li>Document data architecture, pipeline logic, and operational procedures to enable team collaboration and maintainability
</li></ul><div><b>Required Qualifications</b></div>
<ul><li>8+ years of experience in data engineering, software engineering, or database architecture
</li><li>6+ years of experience in Python and SQL with experience building scalable ETL/ELT pipelines
</li><li>2+ years of experience with cloud data ecosystems like Azure Data Factory
</li><li>1+ years of experience with modern data processing frameworks like Databricks
</li><li>Experience integrating and transforming data from diverse formats and systems (APIs, flat files, relational sources)
</li><li>Knowledge of relational and NoSQL databases, data modeling, and schema design
</li><li>Knowledge of data governance, security, and compliance principles for enterprise data environments
</li></ul><div><b>Preferred Qualifications</b></div>
<ul><li>Experience supporting key data engineering efforts in a government environment
</li><li>Experience collaborating with data scientists and analysts to define data models
</li><li>Knowledge of IT infrastructure practices and data access methodologies
</li><li>Knowledge of advanced data security practices, governance policies, and compliance frameworks
</li><li>Azure Data Engineer Associate certification
</li></ul><div><b>Compensation</b><br>
Salary Range: $150,000.00 - $165,000.00<br>
<i>Final compensation is based on technical skills, experience, education, certifications, and clearance.</i><br>
</div><div><b>Blu Omega Benefits &amp; Perks</b></div>
<ul><li>Medical, Dental, and Vision coverage through national providers
</li><li>401(k) with company match (eligible after 6 months; vesting applies)
</li><li>Company-paid Life and AD&amp;D insurance with additional voluntary options
</li><li>Short-term disability (company-paid) and long-term disability options
</li><li>Employee Assistance Program (EAP) with 24/7 confidential support and mental health resources
</li><li>Telehealth and virtual care options available through medical plans
</li><li>Pet insurance, legal services, and identity theft protection options
</li><li>Paid Time Off (PTO) for eligible employees
</li><li>Paid federal holidays for salaried employees
</li><li>Access to wellness programs, discounts, and lifestyle benefits
</li><li>Benefits eligibility and offerings may vary based on role, employment status, and program requirements.
</li></ul><div><b>Company Overview</b><br>
Blu Omega is a Woman-Owned Small Business (WOSB) delivering technology and cybersecurity solutions to federal agencies and enterprise clients nationwide. Headquartered in Ashburn, VA, we support mission-critical programs across civilian and defense sectors, including health, national security, and regulatory environments.<br>
<br>
We partner with government agencies and large integrators to provide expertise in cybersecurity operations, cloud and infrastructure modernization, data and analytics, and enterprise IT support. Our teams are experienced operating within federal contracting environments, supporting task orders, recompetes, and programs requiring cleared personnel and compliant delivery.<br>
<br>
<b>Equal Opportunity Employer</b><br>
<i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</i><br>
<i>
</i><br>
<i>#CJ #LI-Hybrid</i></div></div>

Senior Data Engineer (s)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
As a Data Engineer, you will partner with Business Intelligence Engineers and partner teams to build data pipelines and solutions to harness the vast amount of operational data from the AWS fleet. You will own the timely delivery of such data for use in downstream business intelligence solutions, as well as all necessary actions to ensure the reliability of data provided for business decision making. Data analysis is at the core Amazon&rsquo;s culture, and your work will have a direct impact on decision making and strategy for our organization.<br>
<br>
The ideal candidates will have excellent analytical abilities, curiosity, and strong technical skills. They will have a strong bias toward data driven decision making, and building scalable data pipelines and systems to facilitate such decision making. They will be a self-starter; comfortable with ambiguity; able to think big and be creative, while exercising strong judgment and good instincts to be right a lot. The ideal candidate is motivated by delivering high-quality and innovative solutions within timeframes that most think are impossible. If you are excited about using data to look around corners and drive engineering solutions that are the foundation of AWS data centers, this role is for you!<br>
<br>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Key job responsibilities<br>
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.<br>
<br>
Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.<br>
<br>
Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.<br>
<br>
Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.<br>
<br>
Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.<br>
<br>
Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, GA, Atlanta - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

autostore

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
AutoStore&trade; holds a simple yet powerful vision: to store and move things for everyone, everywhere. Founded in Norway, we've grown into a global technology company. AutoStore uses advanced software to automate and orchestrate order fulfillment. Our goal is to ensure orders arrive faster than ever, with minimal environmental impact. That&rsquo;s how we help brands exceed customer expectations.</p><p></p><p>
We have more than 1600 systems in nearly 60 countries, and we grow continuously as a community of employees, partners, customers, suppliers, and connected technologies. Automation should make life easier, and by listening carefully to our community, we innovate to meet the industry&rsquo;s most complex needs. With AutoStore&trade;, brands gain speed, efficiency, and improved workplaces. And much more floor space.</p><p></p><p>
AutoStore &ndash; moving things forward.</p></div></div></div></div></div></div></div></div></div><p></p><p><b>
The Role:</b></p><p></p><p>
The AI Engineer develops AI based solutions that increase the overall productivity of the HW engineering team. This includes, creating data models to facilitate the use of AI tools, creating AI agents and models that reduce the time to do HW designs, reviews, and testing. The HW focused AI Engineer reports to the VP of HW NPD and Innovation Engineering located in Atlanta, GA.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><p>
Connect and structure hardware data sources (Jira, Excel, ERP, and design/test systems) so AI tools have clean, usable data to work from</p></li><li><p>
Across the Hardware organization, reduce design review preparation and execution from weeks to hours by automating material generation and consolidation</p></li><li><p>
Generate documentation, design review materials, and structured outputs (checklists, comparison tables, risk assessments) in consistent formats</p></li><li><p>
Produce summaries, forecasts, and burndown charts from historical project data</p></li><li><p>
Build agentic workflows that track hardware module status and automatically remind, summarize, and escalate across the development process</p></li><li><p>
Support engineers developing physical AI (embedding intelligence into distributed systems such as robots, cameras, grids, and ports)</p></li></ul><p></p><p><b>
Key Qualifications:</b></p><ul><li><p>
0&ndash;5 years of experience delivering data and AI solutions, or equivalent</p></li><li><p>
Ability to create data structures that facilitate the optimal use of AI tools</p></li><li><p>
Ability to connect existing tools (Jira, Excel, ERP systems, etc.) via APIs to push and pull data</p></li><li><p>
Ability to produce structured output generation - design review materials in consistent formats (Word, PowerPoint, PDF)</p></li><li><p>
Familiar with design tools, processes, and techniques required to deliver hardware solutions on schedule</p></li><li><p>
Strong problem-solving skills and the ability to work both independently and as part of a team</p></li><li><p>
Excellent communication skills across organizational levels</p></li><li><p>
Bachelor's or Master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a related field</p></li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li><p>
Familiarity with RAG (Retrieval-Augmented Generation) to pull from libraries of historical designs, specs, and schematics for grounded suggestions</p></li><li><p>
Familiarity evaluating and integrating commercial EDA platforms with embedded AI/multimodal capabilities (e.g., Siemens Fuse, Cadence Allegro X AI, Quilter) &mdash; tool selection and integration, not model building</p></li><li><p>
Exposure to generative/autonomous design tools and an understanding of where they assist and augment engineering throughput</p></li><li><p>
Familiarity with developing physical AI solutions - embedding intelligence into distributed systems (robots, cameras, grids, ports)</p></li><li><p>
Familiar with project management concepts</p></li></ul><p></p><p><b>
We Offer:</b><br>
AutoStore believes in taking care of employees and is dedicated to providing a supportive and rewarding work environment. Join us in our mission to store and move things for everyone, everywhere.</p><ul><li><p>
Comprehensive Medical, Dental, and Vision plans</p></li><li><p>
Health Savings Account (HSA) with a company contribution</p></li><li><p>
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents</p></li><li><p>
Retirement 401(k) plan with employer match and discretionary profit sharing contribution</p></li><li><p>
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders</p></li><li><p>
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!</p></li></ul><p></p><p>
AutoStore is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, pregnancy-related conditions, and lactation), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.</p><p></p><h2 class="jobSectionHeader"><b>
Recruitment Agencies</b></h2><p><i>
AutoStore does not accept agency resumes or assistance. Please do not forward resumes to our jobs alias or AutoStore employees. AutoStore is not responsible for any fees related to unsolicited resumes.</i></p></div>
<br><div><div><h3 class="jobSectionHeader"><b>Struggling to find your next dream job?</b></h3><div><div><div><div><p>
We believe that following a defined and structured recruitment process will ensure that we have a fair and equal process for all candidates. We focus on finding the right talent and have designed our process to reduce biases and have a good candidate experience. For that reason, we are not accepting open applications, but encourage you to set up a job alert on our recruitment page to be notified when the next opportunity arises within your field of interest.</p></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Unsure about which path is the right one for you?</b></h3><div><div><div><div><p>
Try our brand new AutoStore Pathfinder! Here you will be able to take a short questionnaire and read about where in our organization your skillset and personality can be a fit
</p></div></div></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>About Us</b></h3><div></div><div><div><div><div><p>
AutoStore, founded 1996, is a warehouse robot technology company that invented and continues to pioneer cube storage automation, the densest order-fulfillment solution in existence. Our focus is to marry software and hardware with human abilities to create the future of warehousing. We are a value driven organization, with our people being our most important asset. Lean, Bold, and Transparent manifest itself in everything we do, and are pushing borders to increase efficiency, safety and develop new products for our customers. AutoStore was born out of the great idea for storing goods like Rubik's Cube, instead of Dominos. We are now looking for talent that share our values and curiousity for new technology and development</p></div></div></div></div></div></div></div><p></p>

AI Engineer – HW Development

NiCE

<div><div><p>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</p></div><div><div>
<h2 class="jobSectionHeader"><b>
Build the Systems That Power Analytics for Millions of Customer Conversations</b></h2>
<div>At NICE, we help organizations understand what customers are really saying. Our Nexidia Interactive Analytics (NIA) platform processes and analyzes massive volumes of customer interaction data, enabling organizations to identify trends, improve experiences, and make better business decisions.</div>
<div>We're looking for a <b>Senior Software Engineer</b> to join our <b>Mobius team</b>, a critical engineering group responsible for ingesting, transforming, and managing the data that powers NIA analytics. This is not a greenfield startup project. It is a highly scalable enterprise platform that sits at the center of a mature analytics ecosystem used by multiple product teams and customers worldwide.</div>
<div>If you're passionate about large-scale backend systems, SQL performance, data engineering, and using AI to build software smarter and faster, we'd love to talk.</div>
<h2 class="jobSectionHeader"><b>Why This Role Matters</b></h2>
<div>The Mobius team is growing because demand for new capabilities continues to increase. The team is responsible for bringing vast amounts of customer interaction data into the platform, ensuring it is available, accurate, performant, and consumable by multiple downstream analytics teams.</div>
<div>You'll join a highly visible team that is expanding to meet growing business expectations while helping shape how AI-assisted development accelerates software delivery across engineering.</div>
<h2 class="jobSectionHeader"><b>What You'll Do</b></h2>
<ul><li>Design and build scalable backend services using C#</li>
<li>Develop and optimize high-volume ETL and data ingestion pipelines</li>
<li>Design, tune, and maintain complex Microsoft SQL Server environments</li>
<li>Troubleshoot performance challenges across large-scale distributed systems</li>
<li>Investigate customer-facing production issues and drive resolution</li>
<li>Partner closely with multiple engineering teams that depend on Mobius-managed data</li>
<li>Use AI-assisted development tools to analyze requirements, accelerate coding, review implementations, and create automated testing strategies</li>
<li>Contribute to new feature development, platform enhancements, and architectural improvements</li>
</ul><h2 class="jobSectionHeader"><b>What Makes This Opportunity Different</b></h2>
<ul><li>Work on a platform that directly supports advanced speech and interaction analytics</li>
<li>High-impact team with strong visibility and growing investment</li>
<li>Significant ownership across both development and production engineering</li>
<li>Opportunity to influence how AI is practically applied to software engineering workflows</li>
<li>New feature development represents the majority of team activity, with substantial innovation and roadmap work underway [Recruiting...ment Roles | Word]</li>
</ul><h2 class="jobSectionHeader"><b>What We're Looking For</b></h2>
<h3 class="jobSectionHeader"><b>Required</b></h3>
<ul><li>7+ years of software development experience</li>
<li>Strong C# / .NET backend development experience</li>
<li>4+ years of Microsoft SQL Server experience in production environments</li>
<li>Experience with:
<ul><li>Query optimization</li>
<li>Performance tuning</li>
<li>Database partitioning</li>
<li>Extended Events</li>
<li>Resolving I/O and latch contention issues</li>
</ul></li><li>Experience building high-volume data processing systems</li>
<li>Experience with ETL and data movement solutions</li>
<li>Strong troubleshooting and analytical skills</li>
<li>Excellent communication and collaboration skills</li>
</ul><h3 class="jobSectionHeader"><b>Preferred</b></h3>
<ul><li>Experience using AI tools throughout the software development lifecycle</li>
<li>Microservices architecture experience</li>
<li>Distributed systems development</li>
<li>ElasticSearch experience</li>
<li>Enterprise CI/CD environments</li>
<li>Contact center, analytics, or data platform experience</li>
</ul><h2 class="jobSectionHeader"><b>Location &amp; Work Style</b></h2>
<ul><li>Hybrid role based in Atlanta</li>
<li>In-office collaboration Monday and Tuesday</li>
<li>Work alongside experienced engineers focused on solving large-scale data challenges</li>
</ul>
</div><p><b>Enjoy NiCE-FLEX!</b></p>
<p>
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. This role is located in our GA office at 6 Concourse Parkway, <b>Atlanta GA</b> 30328 https://www.nice.com/company/global-locations</p></div><div><p><b><i>
About NiCE
</i></b></p><p><i>NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
</i></p><p><i>Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
</i></p><p><i>NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</i></p></div></div><p></p>

Sr Software Engineer, Backend & Data Platforms (Mobius Team)

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Location : Cary, NC (Onsite/Hybrid from Day 1)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><p>We are seeking an experienced <b>Data Scientist</b> to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div><p>The base compensation range for this role in the posted location is: 85786- 97273</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p></p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist

Explore 81+ Data engineer in Atlanta this August. Find roles across top companies and apply now to boost your career.