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.

Benefits

Inclusive culture
Robust benefits
Professional development
Telecommuting permitted

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsdatabase architectureETL data pipelinesdata modelingPythonSQLSparkSnowflakeDatabricksBig Data file formats

Soft Skills

communicationmentoringteamworkproblem-solvingindependent judgmentinfluencedecision-makingorganizational skillsaccountabilityinclusion mindset