Data Engineer II at InVita is responsible for designing, building, and optimizing data pipelines and scalable data storage and processing systems. The role collaborates with product leaders, software engineers, and integration teams to ensure accessible, high-quality data that supports data-driven decision making. This position is based in Baltimore, MD and is hybrid, requiring three days per week in the office. Compensation ranges from $100,000 to $120,000 annually. Key responsibilities include designing, building, and maintaining scalable data pipelines; integrating data from relational databases, APIs, and third-party sources; developing databases and data warehouses; implementing ETL/ELT processes; ensuring data quality and governance; automating data workflows; maintaining data security and regulatory compliance; and continuously monitoring and optimizing performance. Required qualifications include a Bachelor's degree in Computer Science, Information Technology, or related field; 3+ years of experience as a Data Engineer/Architect or similar role; proficiency with MySQL, PostgreSQL, and SQL Server; strong experience with data modeling and data warehousing; familiarity with cloud data platforms (AWS, Azure, Google Cloud); knowledge of data governance frameworks and data quality best practices; strong problem-solving and communication skills.

Data Engineer II at InVita is responsible for designing, building, and optimizing data pipelines and scalable data storage and processing systems. The role collaborates with product leaders, software engineers, and integration teams to ensure accessible, high-quality data that supports data-driven decision making. This position is based in Baltimore, MD and is hybrid, requiring three days per week in the office. Compensation ranges from $100,000 to $120,000 annually. Key responsibilities include designing, building, and maintaining scalable data pipelines; integrating data from relational databases, APIs, and third-party sources; developing databases and data warehouses; implementing ETL/ELT processes; ensuring data quality and governance; automating data workflows; maintaining data security and regulatory compliance; and continuously monitoring and optimizing performance. Required qualifications include a Bachelor's degree in Computer Science, Information Technology, or related field; 3+ years of experience as a Data Engineer/Architect or similar role; proficiency with MySQL, PostgreSQL, and SQL Server; strong experience with data modeling and data warehousing; familiarity with cloud data platforms (AWS, Azure, Google Cloud); knowledge of data governance frameworks and data quality best practices; strong problem-solving and communication skills.