Senior Engineer I, Data

Role Overview

• Lead the design, development, and testing of multiple complex software applications for Exact Sciences, creating expert design concepts and foolproof debugging.
• Collect and analyze data to develop robust IT solutions that deliver advanced data analytics capabilities to the organization.
• Develop database architectures to address business requirements, ensuring system scalability, security, performance, and reliability.
• Design and document database applications such as interfaces, data transfer mechanisms, and data partitions to enable efficient access of the generic database structure.
• Exercise independent judgment in methods, techniques, and evaluation criteria for obtaining results.
• Troubleshoot issues and problems of high complexity for major software applications; break down complex tasks, alternatives, problems, and solutions with an eye on limiting the need for later problem solving; utilize mastery of tools needed to debug and diagnose issues in any type of environment.
• Operate as part of a team, communicate effectively with business stakeholders and mentor junior team members.
• Design lasting applications while working with product teams. This may include organizing people and resources toward the effective and efficient purpose of pre-determined objectives serving large business or technology project(s).
• Take full ownership of quality and difficult designs that impact and influence the department’s delivery and approach.
• Understand the scope and relationships of large features and productions for your domain.
• Contribute, interpret, and communicate enterprise, technical, project, and operational strategies, taking into account company dynamics.
• Build successful internal partnerships with peers, SMEs, stakeholders, and decision-makers.
• Manage vendor and external partnerships.
• Consistently influence and make significant decisions across multiple projects.
• Guide discussions on critical areas of impact.
• Ability to work nights and/or weekends, as needed.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

Requirements

• Master’s degree, or foreign equivalent, in Data Science, Computer Science, Information Systems, Industrial Engineering, or a closely related quantitative discipline and two (2) years of experience in the field of data science/engineering.
• 2 years of experience in software development design and development, and relevant domain applications.
• 1 year of experience with Spark on Snowflake or Databricks.
• 2 years of experience with Python and SQL development.
• 2 years of experience in ETL data pipelines.
• 2 years of experience in designing and implementing data modeling solutions using relational, dimensional, or NoSQL databases.
• 2 years of experience in Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
• 2 years of experience utilizing Big Data file formats (Parquet, Avro, or Delta Lake).
• 1 year of experience utilizing cloud Infrastructure services (AWS, SQS, S3, and GitLab).
• 1 year of experience utilizing agile development tools (JIRA or Confluence repository).
• Any suitable combination of education, training and experience is acceptable.

Tech Stack

• AWS
• Cloud
• ETL
• NoSQL
• Python
• Spark
• SQL

Benefits

• Inclusive culture
• Robust benefits
• Professional development
• Telecommuting permitted