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Changing the way we think about detecting and treating cancer.
Senior Engineer I, Data
Location
Wisconsin
Posted
115 days ago
Salary
$101K - $196.5K / year
Seniority
Senior
Job Description
Senior Engineer I, Data
Exact Sciences
• 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.
Job 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.
Benefits
- Inclusive culture
- Robust benefits
- Professional development
- Telecommuting permitted
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