Data Foundations Engineer

• Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD $119,000.00 - 198,400.00 per year
Fitment

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Job Details

Skills

  • Collaboration
  • Project Delivery
  • PDM
  • Customer Service
  • Use Cases
  • Engagement Management
  • Customer Engagement
  • Optimization
  • Real-time
  • Extract
  • Transform
  • Load
  • ELT
  • Workflow
  • Data Governance
  • Data Integrity
  • Privacy
  • Regulatory Compliance
  • Network
  • IaaS
  • Artificial Intelligence
  • Data Engineering
  • Analytics
  • Machine Learning (ML)
  • SQL
  • Python
  • Scala
  • Java
  • Apache Spark
  • Apache Kafka
  • Data Modeling
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Snow Flake Schema
  • Databricks
  • OLAP
  • Tableau
  • Continuous Integration
  • Continuous Delivery
  • Machine Learning Operations (ML Ops)
  • Generative Artificial Intelligence (AI)
  • Prompt Engineering
  • Payments
  • Computer Science
  • Information Technology
  • Computer Engineering
  • Immigration
  • Training
  • Management
  • Call Center
  • GNU Compiler Collection
  • Recruiting
  • MEAN Stack
  • Innovation
  • Investments
  • Professional Development
  • Leadership
  • Mentorship
  • Legal
  • SAP BASIS
  • Law

Summary

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Foundations Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

Work you'll do/Responsibilities

The Data Foundations Engineer designs and scales modern data architectures powering Wallet, Payments, and Commerce products. This role focuses on building high-performance data pipelines and enabling analytics and ML use cases, with strong fundamentals in data modeling and scalable systems.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
Data Engineering & Architecture
  • Design and implement scalable batch and near-real-time data pipelines.
  • Develop ETL/ELT workflows optimized for performance and cost.
  • Implement dimensional data models and standardize business metrics.
  • Instrument APIs and user journeys to capture behavioral and transactional data.
Data Governance & Quality
  • Ensure data integrity, governance, privacy, and compliance.
  • Maintain reliability and availability of mission-critical systems.
The Team

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Qualifications

Required
  • 8+ years of experience in data engineering for analytics or ML systems.
  • Strong SQL proficiency.
  • 8+yrs experience in Python, Scala, or Java.
  • Hands-on experience with Spark, Kafka, and Airflow (or similar).
  • Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg).
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Comfortable participating in rotating on-call.
  • Experience with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset or Tableau.
  • Familiarity with CI/CD, data observability, infrastructure-as-code.
  • Exposure to MLOps and GenAI/RAG pipelines.
  • Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG).
  • Experience in FinTech, Wallet, or Payments domain.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Hybrid role - on-site Tue/Wed/Thu
For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $119,000 to $198,400.

Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at

Recruiting tips

From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.

Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.

Our purpose

Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Requisition code: 326866

Job ID 326866
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 23965555
  • Posted 3 hours ago
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