Business Intelligence Engineer

Azenta Inc. At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships. All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity

How You’ll Add Value:
The Business Intelligence (BI) Engineer is responsible for designing, developing, and maintaining enterprise data and analytics solutions that enable data-driven decision-making across the organization. This role will build and optimize cloud-based data platforms, design scalable ETL (Extract, Transform, Load) pipelines, and develop curated datasets that support reporting, dashboards, advanced analytics, and Artificial Intelligence initiatives. Working within AWS, Snowflake and PostgreSQL-based data environments, the BI Engineer will transform complex business and operational data into trusted, actionable insights while ensuring data quality, governance, and scalability.

• Design, develop, and maintain ETL pipelines that integrate data from enterprise applications, operational systems, APIs, and third-party platforms
• Build automated processes to extract, load, and transform structured and unstructured data into analytics-ready datasets
• Implement data validation, cleansing, enrichment, and monitoring processes
• Optimize data pipelines for performance, scalability, and reliability

• Design and manage Snowflake databases, schemas, tables, views, and data models
• Develop and maintain dimensional, operational, and semantic data models to support analytics and reporting.
• Create structured and governed datasets that enable self-service business intelligence
• Optimize Snowflake performance through effective clustering, partitioning, and query tuning

• Develop and support AWS-based analytics solutions utilizing:
  Amazon S3 Amazon Sage Maker AWS Glue Amazon Athena AWS Lambda Amazon Aurora PostgreSQL
• Design and maintain S3 data lake structures and table architectures that support enterprise reporting and analytics
• Support data ingestion and transformation processes from multiple internal and external data sources
• Design, develop, and optimize PostgreSQL database objects including schemas, tables, views, materialized views, stored procedures, and data transformation logic to support analytics and reporting workloads

• Partner with business stakeholders to understand reporting and analytics requirements
• Create and maintain reusable datasets, KPIs, metrics, and reporting structures
• Support dashboard and visualization development utilizing BI and reporting tools
• Enable self-service analytics through governed data models and semantic layers

• Collaborate with Data Science and AI teams to prepare and curate datasets for machine learning models
• Support data engineering activities required for Amazon Sage Maker and AI initiatives
• Develop scalable data assets that support predictive analytics and operational intelligence

• Establish and maintain data quality standards and controls
• Document data lineage, mappings, business rules, and transformation logic
• Ensure compliance with data governance, security, and regulatory requirements
• Participate in master data and metadata management initiatives

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
• 4+ years of experience in Business Intelligence, Data…