Staff Engineer - Data Engineering

Early Warning® • Chicago, IL

2d • $145,000 - $223,000 • Hybrid

About The Position

This position is a key role in the development, test, and deployment of complex solutions. The Staff Engineer will build data strategy for broad or complex requirements with insightful and forward-looking approaches that go beyond the direct team and solve large open-ended problems. They will participate in the strategic development of methods, techniques, and evaluation criteria for projects and programs. This role drives all aspects of technical and data architecture, design, prototyping, and implementation in support of both product needs as well as overall technology data strategy. The Staff Engineer provides leadership and technical expertise in support of building a technical plan and backlog of stories, and then follows through on execution of design and build process through to production delivery. They will guide a broad functional area and lead efforts through the functional team members along with the team’s overall planning. This role represents engineering in cross-functional team sessions and is able to present sound and thoughtful arguments to persuade others, adapting to the situation and drawing from a range of strategies to influence people. They will collaborate and partner with product managers, designers, and other engineering groups to conceptualize and build new features and create product descriptions. The Staff Engineer actively owns features or systems and defines their long-term health, while also improving the health of surrounding systems. They will assist Support and Operations teams in identifying and quickly resolving production issues. Additionally, they will develop and implement tests for ensuring the quality, performance, and scalability of our application and actively seek out ways to improve engineering and data standards, tooling, and processes. This role also supports the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Requirements

• Bachelor’s degree in computer science or related technical field.
• Eight or more years of relevant related experience.
• Seven or more years of experience in the development of complex data platform, distributed systems, SaaS, cloud solutions, micro services.
• Six or more years of experience in the development of Data Warehouse, Big Data – structured & unstructured platforms, real-time & batch processing, data standards.
• Four or more years of experience in development of Business Intelligent Solutions.
• Two or more years of experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).
• Demonstrated experience in delivering business-critical systems to the market.
• Ability to influence and work in a collaborative team environment.
• Experience designing/developing scalable systems.
• Extensive experience implementing Data Warehouse (Star / Snow flake schemas) using SQL Server or equivalent, Big Data – HDFS, Elastic Search, ETL process development using IBM Infosphere or equivalent, Reusable Frameworks.
• Experience with implementing data science solutions using Python, Spark, PySpark, R, Data Robot.
• 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.
• Attention to detail.
• Background and drug screen.

Nice To Haves

• 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) with experience around performance aspects and replication
• Computer language experience (Python, PySpark, and R)
• Knowledge of Aerospike, Scality S3, Elastic Search
• Monitoring and Alerting systems experience (AppDynamics) or other observability measures
• Knowledge of ACH/EFT
• Knowledge of real time payment networks (RTP, FedNow)
• Experience in development / operationalization of Artificial Intelligence / Machine Learning Models / Model development life cycle activities (implementing feature engineering, data pipelines, model operationalization, model monitoring).
• FinTech experience
• Kubernetes experience

Responsibilities

• Build data strategy for broad or complex requirements with insightful and 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 both product needs as well as overall technology data strategy.
• Provide leadership and technical expertise in support of building a technical plan and backlog of stories, and then follow through on execution of design and build process through to production delivery.
• Guide a broad functional area and lead efforts through the functional team members along with the team’s overall planning.
• Represent engineering in cross-functional team sessions and able to present sound and thoughtful arguments to persuade others.
• Collaborate and partner with product managers, designers, and other engineering groups to conceptualize and 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.
• Actively seek out ways to improve engineering and data standards, tooling, and processes.
• Supporting the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior