Staff Engineer - Data Engineering

Overview

At Early Warning, we protect and enable the U.S. financial system with cutting-edge solutions and trusted payments capabilities. This position is located in Scottsdale, San Francisco, Chicago, or New York and follows a hybrid work model to promote collaboration.

Candidates must independently possess eligibility to work in the United States at the date of hire. This position is ineligible for employment visa sponsorship.

• Build data strategy for broad or complex requirements with forward-looking approaches that go beyond the direct team and solve large open-ended problems.
• Participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs.
• Drive all aspects of technical and data architecture, design, prototyping, and implementation in support of product needs and the overall technology data strategy.
• Provide leadership and technical expertise to build a technical plan and backlog of stories, and follow through on execution from design to production delivery.
• Guide a broad functional area and lead efforts with the functional team and the team’s overall planning.
• Represent engineering in cross-functional sessions and present sound arguments to persuade others, adapting strategies to influence outcomes.
• Collaborate with product managers, designers, and other engineering teams to conceptualize and build new features and create product descriptions.
• Own features or systems and define their long-term health, while improving the health of surrounding systems.
• Assist Support and Operations teams in identifying and quickly resolving production issues.
• Develop and implement tests to ensure quality, performance, and scalability of the application.
• Seek opportunities to improve engineering and data standards, tooling, and processes.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

• Bachelor’s degree in computer science or related technical field, or equivalent experience.
• Typically 8 or more years of relevant experience; focus on complex data platforms and distributed systems is preferred.
• 7+ years in developing complex data platforms, distributed systems, SaaS, cloud solutions, and microservices.
• 6+ years in data warehouse and big data platforms, real-time and batch processing, and data standards.
• 4+ years in development of business intelligence solutions.
• 2+ years in development/operationalization of AI/ML models and lifecycle activities (feature engineering, data pipelines, model monitoring).
• Proven experience delivering business-critical systems to market and ability to influence in a collaborative team environment.
• Experience designing/developing scalable systems and data warehouse implementations (e.g., Star/Snowflake schemas) with SQL Server or equivalent; experience with Big Data (HDFS, Elastic Search); ETL tooling (IBM Infosphere or equivalent); reusable frameworks.
• Experience with data science tools (Python, Spark, PySpark, R) and event-driven architectures (Pub/Sub, Kafka, RabbitMQ).
• Experience with cloud infrastructures (Google Cloud Platform, AWS, Azure) and mature engineering practices (CI/CD, testing, secure coding).
• Knowledge of SDLC, Agile/Scrum/LEAN, and Dev Ops practices; strong attention to detail; background check and drug screen completion.

• MS or PhD.
• Experience with AI/ML frameworks (Tensor Flow, Sage Maker, Scikit, PyCharm).
• Big Data platforms (Cloudera, S3); database platforms with performance and replication considerations (Oracle, SQL Server).
• Programming languages (Python, PySpark, R); knowledge of Aerospike, Scality S3, Elastic Search.
• Monitoring/observability experience (App Dynamics or similar).
• Knowledge of ACH/EFT and real-time payment networks (RTP, Fed Now).
• Fin Tech experience and Kubernetes familiarity.

While performing the duties of this role, the employee is primarily in an office environment, sitting and using a computer for extended periods. Occasional standing, walking, kneeling, and reaching may be required. Must be able to lift 10 pounds occasionally and communicate effectively…