data analyst - solutions strategy, analytics

senior data engineer

sr. data analyst

data analyst - solutions strategy, analytics Jobs in Atlanta

data engineer

data engineer - remote, usa Jobs in Atlanta

data engineer - remote, usa

big data engineer

Equifax

<div><p>Equifax is seeking a driven Data Engineer to contribute to the creation of high-quality datasets that power our analytical capabilities. If you are a data enthusiast with a knack for databases and a talent for extracting meaningful insights from complex data, we encourage you to apply.
</p><p>You will partner with internal stakeholders to design and deliver analytical solutions in an automated and mature fashion.
</p><p>Strong communication skills are required, and financial industry experience is preferred. This position provides an opportunity to work with best-in-class technology and a rich big data ecosystem.
</p><p><b>This position is based out of our Atlanta, Georgia (OAC) office. We are required to be in the office 3 days/week - Tues/Wed/Thurs.
</b></p><p><b>This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
</b></p><p><b>This position is </b><b>not </b><b>open to third-party vendors or C2C.<br>
</b><br>
</p><p><b>What you will do
</b></p><ul><li><p>Integrate, consolidate, cleanse and structure data for use by our analysts.
</p></li><li><p>Analyze, understand and prepare complex and new data sources and incorporate them into project design.
</p></li><li><p>Use analytical insights to develop solutions, improve processes and work with counterparts in the business to implement proposed solutions.
</p></li><li><p>Create SQL and Python Pipelines that are optimized, efficient, repeatable and scalable.
</p></li><li><p>Perform design, creation, and interpretation of large and highly complex datasets.
</p></li><li><p>Utilize AI to accelerate development, optimize code, and create processing documentation for data pipelines.
</p></li><li><p>Understand best practices for data management, maintenance, and reporting and use that knowledge to implement improvements in our solutions.
</p></li><li><p>Develop and implement data quality checks and troubleshoot data anomalies.
</p></li><li><p>Stay up-to-date with the latest trends and advancements in GCP and related technologies, actively proposing and evaluating new solutions.
</p></li></ul><p><b>What experience you will need
</b></p><ul><li><p>BS degree in a STEM major or equivalent discipline.
</p></li><li><p>5-7 years of experience in data related profession, with a minimum of 2 years as a data engineer.
</p></li><li><p>Extensive experience in SQL is a must, as well as strong knowledge of Python.
</p></li><li><p>Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
</p></li></ul><p><b>What could set you apart
</b></p><ul><li><p>A master's degree in a related field is a strong plus.
</p></li><li><p>Experience developing code using AI tools such as Gemini, Chat GPT, Claude, Co - Pilot, etc.
</p></li><li><p>Background in credit risk or finance.
</p></li><li><p>Experience working with large datasets on a big data platform (e.g., Google Cloud, AWS, Snowflake, Hadoop).
</p></li><li><p>Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts (ie AirFlow), as well as basic knowledge of other cloud environments.
</p></li><li><p>Advanced Git or equivalent usage and CI/CD integration skills.
</p></li></ul><p>#LI-Hybrid
</p><p>#LI-KD1</p></div>

Data Engineer

Cox Automotive

<div>The Senior Data Engineer is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. The Senior Data Engineer also plays a role in Agile planning, providing advice and guidance, and monitoring emerging technologies.<br>
<br>
<b>WHAT YOU'LL DO
</b><br>
<br>
KEY RESPONSIBILITIES:<br>
<br>
<b>Process Structured and Unstructured Data</b><br>
<ul><li>
Gathers and processes raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.</li><li>
Understands and enforces appropriate data master management techniques.</li></ul><br>
<b>
Data Validation and Quality</b><br>
<ul><li>
Ensures data quality and implements tools and frameworks for automating the identification of data quality issues.</li><li>
Work with internal and external data providers on data validation providing feedback and making customized changes to data feeds and data mappings.</li></ul><br>
<b>
Agile Planning</b><br>
<ul><li>
Understands the challenges that the analytics organization faces in their day-to-day work and partner with them to design viable data solutions.</li><li>
Recommends improvements to processes, technology, and interfaces that improve the effectiveness of the team and reduce technical debt.</li></ul><br>
<b>
Product Development</b><br>
<ul><li>
Implements and optimizes data solutions in enterprise data warehouses and big data repositories.</li><li>
Installs, maintains, monitors, and supports business intelligence, distributed computation, and big data analytics tools.</li></ul><br>
<b>
Application Support</b><br>
<ul><li>
Provides ongoing support, monitoring, and maintenance of deployed products.</li></ul><br>
<b>
Advice and Guidance</b><br>
<ul><li>
Actively works with less experienced data engineers providing technical guidance and oversight.</li></ul><br>
<b>
Emerging Technology Monitoring</b><br>
<ul><li>
Actively participates in the engineering community, staying up to date on new data technologies and best practices and shares insights with others in the organization.</li></ul><br>
<b>
WHO YOU ARE</b><br>
<br>
REQUIRED QUALIFICATIONS:<br>
<ul><li>
Must live within a commutable distance to Atlanta GA</li><li>
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.</li><li>
Bachelor's degree in Computer Science or related field and 4+ years related experience OR Masters Degree w/ 2+ years experience OR 16 years experience of equivalent combination of industry related professional experience and education.</li><li>
Working experience with batch and real-time data processing frameworks</li><li>
Must have strong working experience with data modelling, data access, schemas, and data storage techniques within Snowflake</li><li>
Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems</li><li>
Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL</li><li>
Working experience with business intelligence tools and platforms</li><li>
Working experience with data quality tools</li><li>
Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)</li><li>
Experience with ETL processes and tools</li><li>
Experience working with Git</li><li>
Experience working with AI related tools such as co-pilot</li><li>
Experience implementing new tools into environments</li></ul><br>
<b>
PREFERRED QUALIFICATIONS:</b><br>
<ul><li>
Experience or exposure to DBT</li><li>
Scrum Developer Certification or equivalent</li><li>
Working experience with Sisense platform</li><li>
Working experience with SQL Server Integration Services</li><li>
Working experience with AWS data tools (Database Migration Service)</li><li>
Working experience with Python</li><li>
Experience working with Jira, Rally or similar tools</li></ul><br>
USD 101,500.00 - 169,100.00 per year<br>
<br>
<b>Compensation:</b><br>
<br>
Compensation includes a base salary of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.<br>
<br>
<b>Benefits:</b><br>
<br>
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.</div>

Sr Data Engineer

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p><b>
Position Summary</b></p><p>
If you&rsquo;re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way.</p><p></p><p>
At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach.</p><p></p><p>
As a Senior Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints.</p><p></p><p>
In this role, you will:</p><ul><li>
Architect and develop robust, scalable ETL/ELT pipelines using Cloud Dataflow, Cloud composer (Airflow), and Pub/Sub for both batch and streaming use cases. Leverage BigQuery as the central data warehouse and design integrations with other GCP services (e.g., Cloud storage, Cloud functions).</li><li>
Build and optimize analytical data models in BigQuery. Implement partitioning, clustering, and materialized views for performance and cost efficiency. Ensure compliance with data governance, access controls, and IAM best practices.</li><li>
Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches. Utiilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.</li><li>
Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows. Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.</li><li>
Lead architectural decisions for data platforms and mentor junior engineers on cloud-native data engineering patterns. Promote best practices for code quality, version control, cost optimization, and data security in a GCP environment. Drive initiatives around data democratization, including building reusable datasets and data catalogs via Datapelx or Data Catalog.</li></ul><p></p><p>
As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise.</p><p></p><p>
This role may work onsite 2 days a week in one of CVS Health's core hubs in: NYC, Hartford, CT or Wellesley, MA. Full-time Remote candidates will also be considered.</p><p></p><p><b>
Required Qualifications</b></p><ul><li>
3+ years of experience with SQL, NoSQL</li><li>
3+ years of experience with Python (or a comparable scripting language)</li><li>
3+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components</li><li>
3+ years of experience with ETL/ELT, and building high-volume data pipelines</li><li>
3+ years of experience with reporting/analytic tools</li><li>
3+ years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management</li><li>
3+ years of experience with Big data and cloud architecture</li><li>
3+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)</li><li>
3+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)</li><li>
3+ years of experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Kafka, Spark Streaming)</li><li>
1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders</li><li>
1+ year(s) of experience independently managing deliverables</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in designing and building data engineering solutions in cloud environments (preferably GCP)</li><li>
Experience with Git, CI/CD pipeline, and other DevOps principles/best practices</li><li>
Experience with bash shell scripts, UNIX utilities &amp; UNIX Commands</li><li>
Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources</li><li>
Knowledge of API development</li><li>
Experience with complex systems and solving challenging analytical problems</li><li>
Strong collaboration and communication skills within and across teams</li><li>
Knowledge of data visualization and reporting</li><li>
Experience with schema design and dimensional data modeling</li><li>
Google Professional Data Engineer Certification</li><li>
Knowledge of microservices and SOA</li><li>
Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge</li><li>
Experience designing, building, and maintaining data processing systems</li><li>
Experience architecting and building data warehouse and data lakes</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor&rsquo;s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required</li><li>
Master&rsquo;s Degree preferred</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/30/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Data Engineer

Capgemini

<div><div><div><p>Atlanta</p><div>
Senior GCP Data Engineer</div><p>
</p></div></div><p></p><div><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><div>
Job Description</div></div><div>
Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.</div></div><div><div><div>
Location</div></div><div><p>
This job is based in Atlanta, GA and Nashville, TN requiring hybrid work participation.</p></div></div><div><div><div>
About the job you're considering</div></div><div><p>
Looking for a GCP Data Engineer with strong Data Engineering experience to build and maintain complex technology initiatives. Your role will involve hands-on development and implementation of data platforms on Google Cloud Platform.
</p></div></div><div><div><div>Your role</div></div><div><p>
Build, develop, and maintain end-to-end data pipelines (ETL/ELT) on Google Cloud Platform.<br>
Implement data ingestion, processing, storage, and analytics using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, and Composer.<br>
Implement modern data lakehouse and data warehouse architectures aligned with analytics and AI use cases.<br>
Ensure data quality, validation, and adherence to data governance and security standards.<br>
Develop infrastructure as code using Terraform or equivalent tools.<br>
Collaborate with architects and platform teams on CI/CD, DataOps, and monitoring strategies.<br>
Apply GCP security best practices, including IAM, networking, encryption, and compliance controls.<br>
Partner with business and technology stakeholders to translate technical designs into functional, efficient code.<br>
Act as a technical developer on cloud data modernization and GCP best practices.<br>
Support solution implementation, including testing, debugging, and production support.
</p></div></div><div><div><div>Your skills and experience</div></div><div><p>
Required: 5+ years of overall IT experience with 3+ years specifically in cloud data engineering.<br>
Required: Proven experience building and deploying GCP-based data pipelines.<br>
Background with large enterprise data programs across industries.<br>
Deep expertise in Google Cloud Platform, including BigQuery, Cloud Storage, Dataflow (Apache Beam), Pub/Sub, Dataproc (Spark), and Composer (Airflow).<br>
Strong knowledge of data modeling, ETL/ELT, streaming architectures, and SQL.<br>
Experience with CI/CD, Terraform, and DataOps practices.<br>
Exposure to AI/ML enablement on GCP (Vertex AI is a plus).<br>
Required: Google Professional Data Engineer Certification.<br>
Strong communication and stakeholder management abilities.<br>
Ability to explain technical concepts to technical and non-technical audiences.<br>
Experience working in global, distributed teams.<br>
Passion for innovation, engineering excellence</p></div></div></div><p>
The base compensation range for this role in the posted location is $76,200 to $ 187,740</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>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. 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>
Important Notice: 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>
</p><p>Disclaimers</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><br>
</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><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
428467-en_US</div></div><div><div>
Posted on</div><div>
27 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Senior GCP Data Engineer

Pratt Industries

<div><p><b>SUMMARY</b></p>
<p>
Position leads the data science initiative in all areas of BRR Plus's responsibilities, including Pratt Industries and Visy, providing professional knowledge and expertise in the areas of large data analytics in support of operational improvements across all facets as designated by the General Manager. The position will be expected to build data/machine learning products to extract valuable business insights.</p>
<p>
</p><p><b>ESSENTIAL DUTIES AND RESPONSIBILITIES: </b>(Other duties may be assigned)</p>
<ul>
<li>Identify valuable data sources and automate collection processes</li>
<li>Undertake preprocessing of structured and unstructured data</li>
<li>Analyze large amounts of information to discover trends and patterns</li>
<li>Leverage programming skills to develop automated systems that help improve business operations</li>
<li>Build predictive models and machine-learning algorithms</li>
<li>Present information using data visualization techniques</li>
<li>Collaborate with engineering and production teams</li>
<li>Assist all Pratt/Visy locations (via remote login, video conferencing, or onsite support), provide direction, training, and development support, roll out pre-developed tools, expedite installation of insightful data products</li>
<li>Travel as required to support development of other Pratt/Visy locations</li>
</ul>
<p></p><p><b>EDUCATION and/or EXPERIENCE</b></p>
<ul>
<li>Experience as a Data Scientist or Data Analyst preferred</li>
<li>Understanding of machine-learning and operations research preferred or demonstrated ability and desire to learn ML/AI methods to develop the desired outcome</li>
<li>Knowledge of DCS systems, Data Historians, and Data Analytics software such as: dataParc, Seeq, Python</li>
<li>Analytical mind and business acumen</li>
<li>Strong math skills (e.g. statistics, algebra)</li>
<li>Problem-solving aptitude</li>
<li>Excellent communication and presentation skills</li>
<li>Post-secondary educational degree (2 to 4-year degree from college, university, technical school, military, vocational or other advanced educational institution) REQUIRED</li>
<li>Candidates are preferred who offer the following:</li>
<li><ul><li>BS degree in Chemical Engineering, Pulp and Paper, or other engineering disciplines related to field</li>
</ul></li>
</ul><p></p><p><b>LANGUAGE SKILLS</b></p>
<p>
</p><p>Ability to read, analyze, and interpret technical procedures, manuals, regulations, and codes</p>
<p>
Ability to write business reports and correspondence</p>
<p>
Ability to communicate effectively with suppliers, contractors, employees and outside officials to the company</p>
<p>
Clear, concise oral and written communication skills</p>
<p>
</p><p><b>MATHEMATICAL SKILLS</b></p>
<p>
</p><p>Ability to apply concepts of algebra and statistics along with basic math (adding, subtracting, multiplying and dividing)</p>
<p>
</p><p><b>REASONING ABILITY</b></p>
<p>
</p><p>Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists</p>
<p>
Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form</p>
<p>
</p><p><b>TECHNICAL SKILLS</b></p>
<p>
</p><p>Ability to gather information and perform detailed analysis and problem solving</p>
<p>
Ability to create reports for review by upper management</p>
<p>
Computer literate with proficiency in Microsoft Word, PowerPoint, Excel, Seeq, and ML/AI software as required to perform the responsibilities of this position</p>
<p>
</p><p><b>PHYSICAL DEMANDS</b></p>
<p>
</p><p>Employee is regularly required to walk, talk, and hear</p>
<p>
Employee is frequently required to stand; use hands to finger, handle, feel; and reach with hands and arms</p>
<p>
The employee is occasionally required to sit</p>
<p>
The employee must regularly lift and/or move up to 50 pounds</p>
<p>
Vision requirements include: close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus</p>
<p>
</p><p><b>WORK ENVIRONMENT</b></p>
<p>
</p><p>The work environment characteristics described here are representative of those an employee encounters while performing the functions of this job</p>
<p>
While performing the duties of this job, the employee can be exposed to wet and/or humid conditions, moving mechanical parts, and fumes of airborne particles</p>
<p>
The noise level in the field work environment is usually loud when working in the manufacturing plants</p>
<p>
The position may work remotely at times as deemed necessary by the General Manager</p>
<p>
</p>Requirements:
<p>Pratt Industries is America's 4th largest paper and packaging company with more than 12,000 highly skilled green collar employees dedicated to the environment and sustainability. Pratt Industries is one of the largest corrugated packaging companies in America, with sophisticated manufacturing facilities in more than twenty states. The company operates several of the most modern, cost effective paper mills in the country, as well as a series of sheet and box plants strategically placed throughout the United States offering a wide range of creative packaging solutions. Pratt Industries is committed to recycling and the environment by harvesting the urban forest.<br>
<br>
Pratt Industries offers competitive compensation plans with incentive opportunities, full benefits package including medical, dental, vision, life, disability, All State, Pre-Paid Legal, and 401(k) with company match, paid vacation, paid holidays, and childbearing and parental leave.</p></div>

Data Science Engineer - Part Time (Shreveport, LA)

The Home Depot

<div><b>Position Purpose:</b><p>
The Machine Learning Engineer II is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.<br>
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.<br>
ML Engineers should be able to operate independently with minimum guidance from others, although will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.</p><b><br>
Key Responsibilities:</b><ul><li>
65% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
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.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
1 - 3 years of relevant work experience</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Familiarity with algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Familiarity with basic statistics and regression algorithms</li><li>
Familiarity with advanced statistics such as bayesian statistics</li><li>
Familiarity with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.</li><li>
Familiarity with Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML</li><li>
Familiarity with a Linux or Unix based environment</li><li>
Familiarity with a CI/CD toolchain</li><li>
Familiarity with REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li></ul><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
1</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div>

Machine Learning Engineer II (Remote)

<div><p><b>Position Purpose:</b></p><p>
The Sr Machine Learning Engineer is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. Sr ML Engineers are expected to pair daily as they work through user stories and support products as they evolve.</p><p><br>
ML Engineers may be involved in designing and implementing AI/ML algorithms to embed directly into software products. Activities may include using specific HD process techniques, integration, design, and development. The role could interface with Business Stakeholders, Technology Infrastructure teams, and Development teams to ensure that business requirements are properly met within a machine learning solution. The role may also be involved in performance tuning, testing, and product monitoring. Other responsibilities may include performing customer outreach, designing ML educational material, and data engineering.</p><p><br>
Sr ML Engineers should be able to operate independently though will typically work as part of a team with varying skill levels to create, support, and deploy production applications. This role will review submitted code and provide feedback to improve, based on best practices.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
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.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
2 - 4 years of relevant work experience</li><li>
Experience to algorithms such as clustering, forecasting, anomaly detection, and neural networks.</li><li>
Experience to basic statistics and regression algorithms</li><li>
Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc</li><li>
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python)</li><li>
Experience with GPU acceleration (i.e. CUDA and cuDNN)</li><li>
Experience in modern web application framework such as Node.js</li><li>
Experience in a front-end technology and framework such as HTML, CCS, JavaScript, ReactJS, D3</li><li>
Experience in writing SQL queries against a relational database</li><li>
Experience in version control systems (preferable Git)</li><li>
Experience in a Linux or Unix based environment</li><li>
Experience in a CI/CD toolchain</li><li>
Experience in REST and effective web service design</li><li>
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security</li><li>
Familiarity with NoSQL databases</li><li>
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide</li><li>
Familiarity with defensive coding practices and patterns for high Availability</li><li>
Familiarity with A/B testing and effective REST design for scalable web services architecture</li><li>
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
2</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul></div><p></p>

Senior Machine Learning Engineer (Remote)

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