Deloitte

Data Foundations Engineer

Deloitte$119K — $198K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 6+ years experience in data engineering for analytics or ML systems
  • Strong proficiency in SQL
  • 6+ years experience with Python, Scala, or Java
  • Hands-on experience with Spark, Kafka, and Airflow (or similar)
  • Strong understanding of data modeling and lakehouse architectures
  • Experience with AWS, Azure, or GCP
  • Hands-on experience with Snowflake, Databricks, and OLAP/NRT systems

Responsibilities

  • Design and implement scalable batch and near-real-time data pipelines
  • Develop optimized ETL/ELT workflows for performance and cost
  • Implement dimensional data models and standardize business metrics
  • Instrument APIs to capture behavioral and transactional data
  • Ensure data integrity, governance, privacy, and compliance
  • Maintain reliability of mission-critical systems

Benefits

  • Broad range of employee benefits
  • Supportive hybrid work model
  • Opportunity to work with cutting-edge technologies
  • Access to resources for professional development and growth
  • Flexible capability in project delivery
Full Job Description
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
  • 6+ years of experience in data engineering for analytics or ML systems.
  • Strong SQL proficiency.
  • 6+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 GCP.
  • 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.

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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.

About Deloitte

Deloitte is a multinational professional services network that provides audit, tax, consulting, enterprise risk and financial advisory services. The company was founded in London in 1845 and has since grown to become one of the largest professional services firms in the world. Deloitte has over 330,000 employees in more than 150 countries and territories. The company's mission is to help clients achieve their goals and make an impact that matters in their businesses and communities.
Learn more about Deloitte
Size
330,000 employees
Industry
Founded
1999

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