Business Intelligence Engineer
Azenta Life Sciences
Summary
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 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.
Job description
What You'll Do
Data Engineering and ETL Development
- 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
Snowflake Data Platform
- 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
AWS Data Lake & Cloud Analytics
- Develop and support AWS-based analytics solutions utilizing: Amazon S3, Amazon SageMaker, 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
Reporting & Business Intelligence
- 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
AI & Advanced Analytics Enablement
- Collaborate with Data Science and AI teams to prepare and curate datasets for machine learning models
- Support data engineering activities required for Amazon SageMaker and AI initiatives
- Develop scalable data assets that support predictive analytics and operational intelligence
Data Governance & Quality
- 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
What You Will Bring
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
- 4+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or related disciplines
- Strong experience with ETL development and data integration
- Hands-on experience with Snowflake
- Hands-on experience with PostgreSQL, including query optimization, schema design, indexing strategies, and performance tuning
- Strong SQL development, data modeling, and PostgreSQL database development expertise
- Experience working within AWS cloud environments
- Experience developing and managing enterprise reporting datasets
- Knowledge of dimensional modeling, data warehousing, and analytics best practices
- Experience with Python or other scripting languages for data processing
Preferred Qualifications
- Experience with Amazon SageMaker and machine learning data preparation
- Experience with AWS Glue, Athena, Lambda, and S3-based data lake architectures
- Experience with Power BI, Tableau, or similar analytics platforms
- Familiarity with Apache Iceberg, Parquet, or modern data lake table formats
- AWS and/or Snowflake certifications
- Experience supporting AI, predictive analytics, or enterprise data strategy initiatives
- Experience with PostgreSQL advanced features such as partitioning, materialized views, JSON/JSONB, extensions, and analytical query optimization
- Experience implementing medallion architecture (Bronze/Silver/Gold) or similar multi-layer data lake design patterns
- Experience with Change Data Capture (CDC), event-driven architectures, data products, and operational analytics platforms
Your Working Conditions
- General office setting
- This position qualifies for a hybrid schedule - 4 days in-office, 1 day working remote
Requirements
- Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field
- 4+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or related disciplines
- Strong experience with ETL development and data integration
- Hands-on experience with Snowflake
- Hands-on experience with PostgreSQL, including query optimization, schema design, indexing strategies, and performance tuning
- Strong SQL development, data modeling, and PostgreSQL database development expertise
- Experience working within AWS cloud environments
- Experience developing and managing enterprise reporting datasets
- Knowledge of dimensional modeling, data warehousing, and analytics best practices
- Experience with Python or other scripting languages for data processing
Benefits
- Hybrid schedule (4 days in-office, 1 remote)
- General office setting
Company overview
Azenta Life Sciences is a leading global provider of comprehensive life sciences solutions dedicated to enabling impactful breakthroughs and therapies to reach the market faster. Headquartered in Burlington, Massachusetts, the company operates worldwide with approximately 3,000 employees across North America, Europe, and Asia. Azenta offers an integrated suite of sample exploration and management solutions that accelerate discovery, development, and delivery processes for pharmaceutical, biotechnology, academic, and healthcare institutions. Their core capabilities span genomics services through GENEWIZ, cryogenic storage systems, laboratory automation, and informatics solutions. The company provides reliable cold-chain sample management, automated storage systems, consumables, instruments, and laboratory information management systems (LIMS) to support drug development, clinical research, and advanced cell therapies. Azenta's mission focuses on helping life sciences organizations operate with greater speed and precision while maintaining sample integrity throughout the research continuum.