Qureos Mentor

Equifax

<ul><li>Alpharetta
 </li><li>United States of America
 </li><li>Other
</li><li>Full time
</li><li>6/19/2026
 </li><li>J00177602</li></ul>
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Manage Preferences
</div>Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax is searching for an innovative Intermediate Data Engineer to join our Global Keying &amp; Linking group. In this role, you will be a key contributor to a team dedicated to advancing data quality, data analysis, operational innovations, data onboarding, and feature design and testing. You will leverage your coding experience to solve complex data challenges, build in-depth data quality assessments, and drive improvements in data onboarding and K&amp;L feature design. The ideal candidate is naturally curious, resourceful, adaptable, and coachable. You will use your excellent communication skills to collaborate with global stakeholders, investigate queries, and drive continuous improvement within our data and K&amp;L ecosystem.
Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.
This role reports to our office Alpharetta, GA office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
 
 
What you&rsquo;ll do
<ul><li>With moderate supervision, manage project's progress, metadata collection, development and management.
</li><li>Perform investigations on internal / external stakeholder queries with high level direction from the Team Leader
</li><li>Analyze problems, identify root cause, formulate findings and observations of results, suggest resolutions and communicate to internal / external stakeholders with moderate guidance from the Team Leader.
</li><li>Maintain current knowledge of industry regulatory requirements such as reporting mandates, concepts and procedures, compliance requirements, and regulatory framework and structure. Be able to support internal/external queries on data standards.
</li><li>Perform intermediate level data quality checks, following established procedures.
</li></ul>What experience you need
<ul><li>BS degree in a STEM major or equivalent discipline; Master&rsquo;s Degree strongly preferred
</li><li>2+ years of experience as a data engineer or related role
</li><li>Cloud certification strongly preferred
</li><li>Intermediate skills using programming languages such as Python, SQL or scripting languages
</li><li>Basic understanding and experience with Google Cloud Platforms and an overall understanding of cloud computing concepts
</li><li>Experience building and maintaining simple data pipelines, following guidelines, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
</li><li>Experience with data analytics and Big Data. Experience analyzing problems, results, and making observations and conclusions from data analysis. 
</li></ul> 
What could set you apart
<ul><li>Background or practical experience in Data Science, including familiarity with statistical analysis, predictive modeling, or machine learning concepts.
</li><li>Experience with Entity resolution is highly preferred.
</li><li>Demonstrated experience designing, building, or maintaining agentic AI workflows and solutions using Large Language Models (LLMs).
</li><li>Hands-on experience utilizing AI coding tools (e.g., GitHub Copilot, Gemini) to accelerate development, problem-solving, and code optimization.
</li><li>Exceptional analytical thinking paired with a deep, practical understanding of data quality principles, data profiling, and anomaly detection.
</li><li>A highly adaptable, resourceful, and intellectually curious mindset with a strong willingness to learn and receive coaching.
</li><li>Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and translate complex data concepts for both technical and non-technical stakeholders.
</li></ul><div>#LI-AM2
</div><div>#LI-Hybrid
</div>We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life&rsquo;s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div></div>

Data Engineer

<div>
 Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data.
 
 
 
 What You&rsquo;ll Do:
 
 
 
 <ul>
 <li>
 Conduct in-depth analysis of data available to Equifax and its partners.
 </li>
 <li>
 Collaborate with product managers to conduct market research and validate product needs.
 </li>
 <li>
 Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.
 </li>
 <li>
 Contribute to the creation of business cases for proposed AI solutions.
 </li>
 <li>
 Evaluate the feasibility and potential impact of AI projects.
 </li>
 <li>
 Provide technical guidance and support to junior analysts.
 </li>
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 Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.
 </li>
 <li>
 Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
 </li>
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 Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
 </li>
 <li>
 Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
 </li>
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 Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
 </li>
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 Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
 </li>
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 Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy
 
 
 </li>
 </ul>
 
 What Experience You Need
 
 
 
 <ul>
 <li>
 Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).
 </li>
 <li>
 Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environment
 </li>
 <li>
 Hands-on experience with cloud-based AI platforms and tools.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL .
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Good communication and presentation and visualisation skills.
 </li>
 <li>
 Strong experience in a related analytical role
 </li>
 <li>
 Proven track record of designing and developing predictive models in real-world applications
 </li>
 <li>
 Experience with model performance evaluation and predictive model optimisation for accuracy and efficiency
 
 
 </li>
 </ul>
 
 What Could Set You Apart
 
 
 
 <ul>
 <li>
 Experience with specific AI techniques, such as neural networks or natural language processing.
 </li>
 <li>
 Knowledge of the financial services industry.
 </li>
 <li>
 Contributions to open-source AI projects.
 </li>
 <li>
 Experience with data visualization tools.
 </li>
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 Passion for data science, data mining, machine learning and experience with big data architectures and methods
 </li>
 <li>
 A Master's degree in a quantitative field (Statistics, Mathematics, Economics)
 </li>
 </ul>
</div>

AI Consultant

Join Equifax and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Equifax

About Company

Data Engineer

AI Consultant