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Sr Engineer I, Data (Remote - Wisconsin) at Jobgether. This position is posted by Jobgether on behalf of Exact Sciences. We are currently looking for a Sr Engineer I, Data in Wisconsin (USA).. This role offers the opportunity to contribute to mission-driven data initiatives that directly impact critical healthcare outcomes. The Sr Engineer I, Data will design, develop, and optimize data-driven solutions, enabling advanced analytics and robust decision-making across the organization. You will work with cross-functional teams to build scalable, secure, and high-performance database architectures, while mentoring junior engineers and ensuring best practices are followed. The position requires strong technical expertise in modern data engineering tools and methodologies, a collaborative mindset, and the ability to translate complex requirements into efficient solutions. Working in a dynamic, inclusive environment, you will play a key role in shaping the data infrastructure that supports strategic business goals.. . Accountabilities. . Design, develop, and test software applications, contributing expert design concepts and reliable debugging solutions.. . Collect, analyze, and transform data to deliver robust IT and analytics solutions.. . Develop scalable, secure, and high-performance database architectures to meet business requirements.. . Design and document database applications, including interfaces, data transfer mechanisms, and partitions for efficient access.. . Troubleshoot medium-complexity issues for major software applications and proactively review design alternatives to prevent future problems.. . Mentor and coach junior team members, providing technical guidance and knowledge sharing.. . Build strong internal and external partnerships with peers, stakeholders, subject matter experts, and decision-makers.. . Contribute individual expertise to achieve group objectives and support collaborative project delivery.. . . Master’s degree or foreign equivalent in Computer Science, Engineering, or a related quantitative field, with 3+ years of relevant experience in data engineering or related roles.. . Proficiency with Python, SQL, Spark, Databricks, and AWS.. . Hands-on experience with ETL data pipelines and implementing data modeling solutions using relational, dimensional, and NoSQL databases.. . Knowledge of database architecture testing methodologies, including creating and executing test plans, debugging, and using testing scripts/tools.. . Familiarity with Big Data file formats such as Parquet and Delta Lake.. . Experience with Agile development tools, including JIRA and Confluence.. . Strong problem-solving, analytical, and technical communication skills.. . Ability to work independently and collaboratively in a team environment.. . . Company Location: United States.