Sr. Software Engineer - Data & Analytics/Cloud, Pa

$120,000 - $140,000/Yr

Early Warning Services - Chicago, IL

Full-time - Mid Level

Chicago, IL

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

The Sr. Software Engineer - Data & Analytics/Cloud position at Early Warning Services focuses on developing, documenting, testing, debugging, and maintaining data and analytics engineering solutions, particularly for the Paze platform. The role requires expertise in software tools and frameworks, emphasizing secure software engineering practices. This position is integral to building and maintaining data engineering solutions, developing advanced analytic solutions, and ensuring the quality and performance of applications.

Responsibilities

• Builds and maintains data engineering solutions for batch and stream processing.
• Develops advanced analytic solutions using BI and ML tools.
• Builds infrastructure components required for Data and Analytics.
• Provides continuous integration and deployment of data solutions.
• Develops and implements tests for ensuring the quality, performance, and scalability of applications.
• Identifies and troubleshoots complex production issues for Support and Operations teams.
• Collaborates with product managers, designers, and other engineering groups to conceptualize and build new features.
• 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, Computer Science Engineering, Computer Information Systems, Electrical Engineering, or related field.
• Minimum 5 years direct experience in Software Engineering or related experience.
• Two or more years' experience in the development of Data Warehouse, Big Data platforms, real-time & batch processing, and data standards.
• Ability to influence and work in a collaborative team environment.
• 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.
• Excellent written and spoken communication.

Nice-to-haves

• Additional related education and/or work experience preferred.
• Large Scale Cloud Data Lake/Warehouse transformation experience.
• AWS Cloud experience in Streaming, Batch Data Management.
• Redshift or other large warehouse Management experience.
• Advanced SQL and Analytics skills.
• Experience with BI tools like Tableau, Quicksight.
• Knowledge of Data Governance and Quality Controls.
• Experience with programming languages (Python, PySpark, and R).
• Experience with Monitoring and Alerting systems (AppDynamics, Splunk, etc.).
• AWS certification in Solution Architecture/Analytics.
• FinTech experience.

Benefits

• Healthcare Coverage including competitive medical (PPO/HDHP), dental, and vision plans.