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Data Foundations Engineer

SpringCube

Full time - Senior Engineer

IT Services & Consulting

United States, Los Angeles - California

Published 7 days ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global professional services organization is seeking a Data Foundations Engineer to drive modern data architecture and engineering solutions. The organization specializes in AI, analytics, cloud, and enterprise technology, helping clients optimize operations, implement scalable data solutions, and leverage machine learning and AI capabilities to gain competitive advantage. Their teams deliver client-focused, industry-specific solutions while maintaining high standards of data governance, reliability, and innovation.

Position Summary
The Data Foundations Engineer will design, build, and scale modern data architectures supporting Wallet, Payments, and Commerce products. The role focuses on high-performance data pipelines, analytics enablement, and ML/AI integration. This position combines technical expertise with collaborative project delivery to improve, optimize, and transform processes in a client environment.

Responsibilities

  • 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
  • Capture behavioral and transactional data via APIs and user journey instrumentation
  • Ensure data integrity, governance, privacy, and compliance
  • Maintain reliability and availability of mission-critical systems
  • Communicate regularly with engagement managers, project teams, and technical stakeholders
  • Lead client engagement workstreams independently and collaboratively to drive process improvements, quality initiatives, and operational outcomes

Qualifications

  • 6+ years of experience in data engineering for analytics or ML systems
  • Strong proficiency in SQL and 6+ years in Python, Scala, or Java
  • Hands-on experience with Spark, Kafka, Airflow, or equivalent tools
  • Strong understanding of data modeling and lakehouse architectures (e.g., Iceberg)
  • Experience with cloud platforms: AWS, Azure, or GCP
  • Familiarity with Snowflake, Databricks, Trino, OLAP/NRT systems, Superset, or Tableau
  • Knowledge of CI/CD pipelines, data observability, and infrastructure-as-code
  • Exposure to MLOps and GenAI/RAG pipelines, including LLMs, prompt engineering, or fine-tuning
  • Experience in FinTech, Wallet, or Payments domain preferred
  • Bachelor’s degree in Computer Science, IT, Computer Engineering, or related field, or equivalent experience
  • Limited immigration sponsorship may be available
  • Ability to travel ~10%
  • Hybrid work model – on-site Tue/Wed/Thu

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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