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Early Warning® · 8 hours ago

Sr. Staff Data Engineer

Scottsdale

Full-time

Hybrid

Senior Level, Lead/Staff

$175K/yr - $225K/yr

12+ years exp

Early Warning Services has been a trusted name in payments for over thirty years, providing innovative solutions like Zelle® and Paze℠. They are seeking a Sr. Staff Data Engineer to lead the development, testing, and deployment of complex data solutions, collaborating with various teams to enhance product features and ensure data integrity.

Financial ServicesFraud DetectionPaymentsRisk Management

No H1B

Responsibilities

Partners with software engineering, product, and architecture to shape engineering approaches, share knowledge and experience

Own the data and technical strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems

Responsible for department-wide design, patterns and code approaches

Reviews and validates effectiveness of code output from multiple teams

Accountable for resolving technical conflict within and between multiple teams

Drive all aspects of technical architecture, design, prototyping and implementation in support of both product needs as well as overall technology and data strategy

Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others. Adapts to the situation and can draw from a range of strategies to influence people in a way that results in agreement or behavior change

Collaborate and partner with product managers, designers, and other engineering groups to conceptualize, build new features and create product descriptions

Actively own features or systems and define their long-term health, while also improving the health of surrounding systems

Assist Support and Operations teams in identifying and quickly resolving production issues

Develop and implement tests for ensuring the quality, performance, and scalability of our application

Develop and mentor other engineers. May serve as a technical leader for cross-functional projects

Actively seeks out ways to improve engineering standards, tooling, and processes

Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data

Qualification

Database Management SystemsAI/ML Model DevelopmentCloud SolutionsETL DevelopmentData Management PlatformsDockerEvent-Driven ArchitectureCloud InfrastructureCI/CD PracticesSoftware Development LifecyclePythonKubernetesBig Data PlatformsMonitoring SystemsFinTech ExperienceSoft Skills

Required

Education and/or experience typically obtained through a Bachelor's degree in computer science or related technical field

Twelve or more years of relevant related experience

Nine or more years of experience in the development of complex database management systems, Business Intelligence solution, AI/ML Model development & Oprationization (includes feature engineering, model optimization, model operationization), distributed systems, SaaS, cloud solutions, micro services

Hands-on Docker experience

Two or more years of experience in the development of end to end data management platforms – data modeling, data governance, BI Reporting, AI/ML model life cycle management

Five or more years of work experience with ETL development (using Ab Initio, Talend, Informatica or other industry proven tools), BI Reporting design & development (using Tableu or Business Objects or Griffana or other industry tools)

One or more years ML Development (using Python, PySpark, Spark), ML Model development framework (using PyCharm, SciKit, Sage Maker, Tensorflow)

Demonstrated experience in delivering business-critical systems to the market

Ability to influence and work in a collaborative team environment across multiple departments

Experience designing/developing scalable systems

Experience with event-driven architecture and messaging frameworks (Pub/Sub, Kafka, RabbitMQ, etc)

Working experience with cloud infrastructure (Google Cloud Platform, AWS, Azure, etc)

Knowledge of mature engineering practices (CI/CD, testing, secure coding, etc)

Knowledge of Software Development Lifecycle (SDLC) best practices, software development methodologies (Agile, Scrum, LEAN etc) and DevOps practices

Background and drug screen

Preferred

MS or PHD

Experience using AI/ML Model Frameworks like Tensorflow, Sage Maker, Scikit, PyCharm

Big Data Platforms (Cloudera, S3)

Database platforms (Oracle, SQL Server)

Computer language experience (Python, PySpark, and R)

Knowledge of Aerospike, Scality S3, Elastic Search

Monitoring and Alerting systems experience (AppDynamics)

Knowledge of ACH/EFT

Knowledge of real time payment networks (RTP, FedNow)

FinTech experience

Kubernetes experience

Benefits

Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.

401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.

Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.

12 weeks of Paid Parental Leave

Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.