Data Engineer

Equifax

United States

United States

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divh2Data Engineer/h2pEquifax 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./ppWorkforce Solutions Data Analytics (EWS DA) is a high-energy, fast-growing organization within Equifax charged with building and supporting best-in-industry data assets and analytical solutions. We deliver solutions and insights to enable success for our customers, drive growth for our business, and create value for our shareholders./ppAs a Data Engineer, you will play a crucial role in the evolution of our data platform, support the activation of AI capabilities across the team, and build data products and self-service solutions for the users of our data platform./ppThis role requires being in the office 3 days/week on Tues - Thurs. This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support./ppWhat youll do/pulliBuild complex batch and streaming pipelines to ingest data from upstream Equifax cloud systems./liliDesign and implement data engineering frameworks to scale the development and deployment of data pipelines across the DA organization./liliLeverage AI-powered coding assistants to accelerate development, optimize code, and generate documentation for data pipelines and infrastructure./liliDevelop and refine prompts for Large Language Models (LLMs) to assist in data-related tasks such as data cleansing, transformation logic generation, and automated data documentation./liliDesign, build, and maintain scalable data pipelines that support AI/ML applications./liliExplore and implement AI agents to automate repetitive data management tasks, monitor data quality, and orchestrate complex data workflows./liliPlay an active role in setting engineering standards and best practices in EWS DA./li/ulpWhat experience do you need/pulliAt least 5 years of experience in data engineering, data architecture, or a related field./liliA strong understanding of data engineering principles and best practices, including data modeling, data warehousing, and data integration./liliAt least 1 year of experience working in a GCP big data environment./liliExperience building complex data pipelines and solutions using two or more of the following: BigQuery, DataFlow, DataProc, Pub/Sub, Cloud Functions./liliExperience with Airflow or Cloud Composer./liliExperience with Vertex AI./liliProficiency in Python development./liliProfessional experience with SQL./liliProven ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders./liliA Bachelors degree or higher in Computer Science, Information Systems, or a related field./li/ulpWhat could set you apart/pulliDemonstrated experience with prompt engineering to interact with and guide AI models for optimal outputs./liliHands-on experience with AI-assisted coding tools/liliFamiliarity with frameworks for building AI applications or agents (e.g., LangChain, LlamaIndex)./liliExperience integrating AI services and models into data pipelines via APIs/liliDevOps/CICD experience (Jenkins and GitHub) and IaC experience using Terraform for managing GCP infrastructure./liliGCP Associate Cloud Engineer or Professional Data Engineer certification./li/ulpWe offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks./ppAre 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!/ppEquifax 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, or status as a protected veteran./ppPrimary Location: USA-Atlanta JV White USA-St. Louis-Lackland/ppFunction: Function - Data and Analytics/ppSchedule: Full time/p/div

United States

Sprachkenntnisse

English

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