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4P Consulting Inc.

<div><div>Position: QA Engineer III
Location: Atlanta, GA
Duration: 5 Months
 
Client: Southern Company Services 
 
 
Southern Company Services is seeking an experienced QA Engineer III to support quality engineering, test automation, performance testing, and release readiness across enterprise applications.
The ideal candidate will have strong experience with API automation, regression testing, CI/CD integration, performance testing, defect analysis, and cross-functional collaboration with Engineering, Product, and DevOps teams.
Key Responsibilities
&middot; Develop and execute test strategies for regression, new functionality, integration, end-to-end, and performance testing.
&middot; Create and maintain test plans, test cases, automated test suites, and exploratory test charters.
&middot; Build reusable and maintainable automation frameworks for API and UI testing.
&middot; Integrate automated tests into CI/CD pipelines and ensure reliable, actionable test results.
&middot; Perform load, stress, endurance, scalability, and peak-volume testing.
&middot; Establish performance baselines and monitor latency, throughput, response times, and error rates.
&middot; Lead defect triage and support root-cause analysis.
&middot; Partner with developers, product teams, and DevOps to improve testability, logging, instrumentation, and acceptance criteria.
&middot; Provide clear reporting on test coverage, quality risks, release readiness, and recommendations.
&middot; Support continuous improvement of quality-management processes and standards.
Qualifications
&middot; 5&ndash;10 years of experience in quality assurance, test automation, or software quality engineering.
&middot; Strong experience with API testing and automation.
&middot; Experience with UI, integration, and end-to-end testing.
&middot; Hands-on experience with performance and reliability testing.
&middot; Experience integrating automated testing into CI/CD pipelines.
&middot; Strong knowledge of regression, risk-based, exploratory, and scripted testing.
&middot; Experience with defect management, test reporting, and root-cause analysis.
&middot; Strong communication, analytical, and problem-solving skills.
&middot; Experience working with Engineering, Product, and DevOps teams.
&middot; Utility, energy, or regulated-industry experience is preferred.
-</div></div>

QA Engineer III

QA Engineer III 4P/786

autostore

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div>
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.
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.
AutoStore &ndash; moving things forward.</div></div></div></div></div></div></div></div></div>
The Role:
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.
Key Responsibilities:<ul><li>
Connect and structure hardware data sources (Jira, Excel, ERP, and design/test systems) so AI tools have clean, usable data to work from</li><li>
Across the Hardware organization, reduce design review preparation and execution from weeks to hours by automating material generation and consolidation</li><li>
Generate documentation, design review materials, and structured outputs (checklists, comparison tables, risk assessments) in consistent formats</li><li>
Produce summaries, forecasts, and burndown charts from historical project data</li><li>
Build agentic workflows that track hardware module status and automatically remind, summarize, and escalate across the development process</li><li>
Support engineers developing physical AI (embedding intelligence into distributed systems such as robots, cameras, grids, and ports)</li></ul>
Key Qualifications:<ul><li>
0&ndash;5 years of experience delivering data and AI solutions, or equivalent</li><li>
Ability to create data structures that facilitate the optimal use of AI tools</li><li>
Ability to connect existing tools (Jira, Excel, ERP systems, etc.) via APIs to push and pull data</li><li>
Ability to produce structured output generation - design review materials in consistent formats (Word, PowerPoint, PDF)</li><li>
Familiar with design tools, processes, and techniques required to deliver hardware solutions on schedule</li><li>
Strong problem-solving skills and the ability to work both independently and as part of a team</li><li>
Excellent communication skills across organizational levels</li><li>
Bachelor's or Master's degree in electrical engineering, computer engineering, computer science, systems engineering, or a related field</li></ul>
Preferred Skills<ul><li>
Familiarity with RAG (Retrieval-Augmented Generation) to pull from libraries of historical designs, specs, and schematics for grounded suggestions</li><li>
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</li><li>
Exposure to generative/autonomous design tools and an understanding of where they assist and augment engineering throughput</li><li>
Familiarity with developing physical AI solutions - embedding intelligence into distributed systems (robots, cameras, grids, ports)</li><li>
Familiar with project management concepts</li></ul>
We Offer: 
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.<ul><li>
Comprehensive Medical, Dental, and Vision plans</li><li>
Health Savings Account (HSA) with a company contribution</li><li>
Generous Paid Time Off including 12 holidays, paid exercise time, paid volunteer time, and paid parental leave plans for all new parents</li><li>
Retirement 401(k) plan with employer match and discretionary profit sharing contribution</li><li>
Educational assistance and professional development programs, including mentorship/coaching programs with external industry leaders</li><li>
Additional benefits include Group Life Insurance, Voluntary Additional Life Insurance, Disability Insurance, Employee Assistance programs, and more!</li></ul>
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.<h2 class="jobSectionHeader">
Recruitment Agencies</h2>
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.</div>
 <div><div><h3 class="jobSectionHeader">Struggling to find your next dream job?</h3><div><div><div><div>
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.</div></div></div></div></div><div><div><h3 class="jobSectionHeader">
Unsure about which path is the right one for you?</h3><div><div><div><div>
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
</div></div></div></div></div></div><div><div><h3 class="jobSectionHeader">About Us</h3><div></div><div><div><div><div>
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</div></div></div></div></div></div></div>

AI Engineer – HW Development

Cushman & Wakefield

<div>Job Title
Data Engineer
Job Description Summary
Key Objectives: 
 
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. 
 
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. 
 
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.
Job Description
Time Series Data Engineering, Maintenance &amp; Automation (40%)<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>
Technical Support (40%)<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>
Infrastructure Enhancement &amp; Collaboration (20%)<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>
Requirements:<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> 

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. 

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. 

The company will not pay less than minimum wage for this role. 

The compensation for the position is: $ 114,750.00 - $135,000.00
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.
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 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Data Engineer

The Home Depot

Position Purpose: The Technology Insights team gives Home Depot engineering leadership visibility into how the organization builds software &mdash; delivery velocity, code quality, deployment health, and AI-assisted development adoption &mdash; through a portfolio of internal platforms and integrations spanning a variety of internal tooling and SaaS products. As a Senior Software Engineer, you will design, build, and operate the data pipelines, backend services, and integrations that turn raw engineering signals into trusted, actionable metrics for engineering leaders across the company. You'll work across the full stack &mdash; from cloud infrastructure and data modeling to APIs and the automation that keeps operational records accurate &mdash; and adopt AI-native engineering practices in how we build, not just what we build. Key Responsibilities: 50% Delivery and Execution - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide; Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm; Consistently achieves results, even under tough circumstances; Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production; Takes a broad view when approaching issues; using a global lens 20% Learns and Grows - Learns through successful and failed experiment when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels 20% Plans and Aligns - Collaborates with other team members in agile processes; Creates new and better ways for the organization to be successful; Works the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable; Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; Adapts approach and demeanor in real time to match the shifting demands of different situations; Relates openly and comfortably with diverse groups of people 10% Supports and Enables - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions Direct Manager/Direct Reports: This position typically reports to Software Engineer Manager or Sr. Manager This position has 0 Direct Reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 3-5 years of experience Experience building and operating production services on Google Cloud Platform, including BigQuery Familiarity with engineering metrics and DORA-style measurement (deployment frequency, lead time, change failure rate) and a healthy skepticism toward vanity metrics Proficiency in Go, React, and TypeScript &mdash; our backend services are primarily Go, with React/TypeScript front ends for internal dashboards and tools Prompt engineering experience and exposure to building or operating LLM-backed agents or tools, including integrating them with developer-tool APIs to extract and reconcile data across systems of record Comfort working in a small platform team supporting many internal stakeholders &mdash; able to triage ambiguous requests, push back on scope, and ship incrementally rather than boiling the ocean Strong data instincts: comfortable writing and reasoning about SQL against BigQuery datasets, and translating messy operational data into something a director or VP can act on Prior experience in a role that sits between a platform team and its internal customers &mdash; i.e., you've had to explain why a metric means what it says, not just compute it Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3-5 years Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Global Perspective Manages Ambiguity Nimble Learning Self-Development Collaborates Cultivates Innovation Situational Adaptability Communicates Effectively Drives Results Interpersonal Savvy Apply End Date: 08/28/2026

Senior Software Engineer - Golang/React (Remote)

Palo Alto Networks

<div><div>Atlanta, Georgia, United States Product Engineering Ref ID: JR-019369</div><div> 
</div><div>Our Mission
At Palo Alto Networks&reg;, we&rsquo;re united by a shared mission&mdash;to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you&rsquo;re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you&rsquo;re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That&rsquo;s why most of our teams work from the office full time, with flexibility when it&rsquo;s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
As a Principal Technical Marketing Engineer for Prisma AIRS at Palo Alto Networks, you will join a team responsible for driving AI security. You will work with cutting-edge technology, redefining the future.
This role plays a key role in supporting our product managers, marketing teams, and customers by developing outbound technical communication, including product best practices, competitive reviews, demo environments, and ownership of product betas. You will perform technical analysis and support the product management in identifying next-generation innovations. This is a critical customer facing role within the company and one where the right person can have significant impact.
The ideal candidate would be able to influence strategy, collaborate with marketing and sales teams to execute go to market strategies, act as a thought leader at the industry level, evangelizing the products and product strategy both internally and externally. 
 
<h3 class="jobSectionHeader">Your Impact</h3>
<ul><li>Develop, constantly refine, and execute the technical marketing plan
</li><li>Utilize AI to scale your impact by creating innovative enablement and defining the art of the possible.
</li><li>Present Executive Briefings to C-Suite executives with deep technical expertise.
</li><li>Be responsible for the creation, maintenance, and delivery of effective technical tools, whitepapers, demos, videos and technical training for sales, customers, and partners
</li><li>Be a key technical evangelist for Palo Alto Networks, speaking at seminars, conferences, customer briefings, and with other groups within the company
</li><li>Work with engineering in identifying product gaps based on competitive analysis and work with the PM to drive enhancements to bridge them
</li><li>Be the domain authority on Palo Alto Networks products to help Domain Consultants with information on competitive questions
</li><li>Identify Sales challenges based on any competitive situations and provide solutions
</li><li>Document technical concepts to ensure our products are well understood and utilized to the greatest extent possible
</li><li>Work with marketing to develop collaterals with battle cards, presentations, and white papers
</li></ul>Qualifications
<h3 class="jobSectionHeader">Qualifications</h3>
<ul><li>5+ years of experience as a Technical Marketing Engineer for network/cybersecurity area or a DevOps/Solution Architect, preferably for AI security, network, or data security products
</li><li>Excellent written and verbal communication skills with strong presentation skills and trade show experience
</li><li>Eagerness to learn new technologies, experiment with products and collaborate cross-functionally
</li><li>Strong customer advocacy skills and experience, ability to work in difficult customer situations
</li><li>Work towards getting things done, Fast learner with strong initiative and sense of ownership
</li><li>Experience in automation tools, building dashboards, etc.
</li><li>Experience with writing and editing technical documentation and operational procedures
</li></ul>Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$134,000.00 - $215,500.00/yr
Our Commitment
We&rsquo;re trailblazers that dream big, take risks, and challenge cybersecurity&rsquo;s status quo. It&rsquo;s simple: we can&rsquo;t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.</div></div>

Principal Technical Marketing Engineer (Prisma AIRS)

Georgia-Pacific

<div>Your Job
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.
This role is based in our Atlanta, GA HQ office located on Peachtree St. The expectation is hybrid (3x) in office per week.
Our Team
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.
What You Will Do 
<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>Who You Are (Basic Qualifications) 
<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>What Will Put You Ahead 
<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>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.
Hiring Philosophy
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.
Who We Are
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.
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.
Our Benefits
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.
Equal Opportunities
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
#LI-RR1</div>

Lead Data Engineer

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