Staff Engineer - Data Engineering

Early Warning is a leading provider of payments and risk solutions for financial institutions, with over thirty years of experience.

Positions are located in Scottsdale, San Francisco, Chicago, or New York and follow a hybrid work model.

This role is a key member of the development, testing, and deployment of complex solutions, driving data strategy, technical architecture, and production delivery.

• Build data strategy for broad or complex requirements, providing forward‑looking insights that solve large open‑ended problems.
• Participate in strategic development of methods, techniques, and evaluation criteria for projects and programs.
• Drive technical and data architecture, design, prototyping, and implementation to support product needs and overall technology strategy.
• Lead technical planning, backlog creation, and execution of design and build through to production delivery.
• Represent engineering in cross‑functional teams, presenting thoughtful arguments to influence stakeholders.
• Collaborate with product managers, designers, and other engineering groups to conceptualize and build new features.
• Own features or systems, define long‑term health and continuously improve surrounding systems.
• Assist support and operations teams in identifying and resolving production issues.
• Develop and implement tests to ensure quality, performance, and scalability of applications.
• Continuously improve engineering practices, tooling, and processes.

• Education:
  
  Bachelor’s degree in computer science or related technical field.
• Experience:
  
  8+ years in software development, with at least 7 years in complex data platforms, distributed systems, and cloud solutions.
• Experience with data warehousing (Star/Snowflake schemas), Big Data platforms, real‑time and batch processing.
• Experience in developing business intelligence solutions and operationalizing AI/ML models.
• Strong knowledge of modern engineering practices (CI/CD, testing, secure coding), SDLC, Agile, Scrum, and Dev Ops.
• Proficiency with SQL Server or equivalent, Big Data frameworks (HDFS, Spark, PySpark, R), and cloud platforms (GCP, AWS, Azure).
• Experience with event‑driven architecture, messaging frameworks (Kafka, RabbitMQ, Pub/Sub).
• Excellent communication skills and ability to influence in a collaborative environment.
• Attention to detail and proven ability to deliver business‑critical systems.

• Advanced degree (MS or PhD) in relevant field.
• Experience with AI/ML model frameworks (Tensor Flow, Sage Maker, Scikit‑learn) and data science solutions.
• Knowledge of Kubernetes, Aerospike, Scality S3, Elastic Search, and observability tooling.
• Familiarity with real‑time payment networks (RTP, Fed Now) and ACH/EFT systems.

Early Warning Services is an affirmative action and equal opportunity employer. We consider applicants based on ability, potential, and valid qualifications without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, veteran or disability status, or any other factor prohibited by law.