
Principal Data Engineer (MA or REMOTE)
- Worcester, MA
- Permanent
- Full-time
- Proven experience in data engineering and best practices for data storage, integration, transformation, and access within Azure and on-premises platforms.
- Expertise in Azure Data Services (Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage).
- Expertise in Databricks.
- Strong experience with data integration, ETL processes, data modeling and data warehousing.
- Advanced proficiency in SQL and Python.
- Knowledge of data modeling, governance, and security best practices.
- Hands-on experience with high-performance data ingestion pipelines.
- Familiarity with integration connectors (APIs, File, SFTP/FTPS, Streaming Data, DB Connectors, SOAP, REST).
- Strong problem-solving, communication, and collaboration skills.
- Ability to create documentation for data processes and solutions.
- Ensure data security and compliance with industry standards.
- Experienced in agile development methodologies and DevOps best practices.
- Git/Github experience for CI/CD.
- Coaching, mentoring, and technical guidance for junior team members.
- Analytical skills for profiling and analyzing large data sets.
- Critical thinking and attention to detail.
- Debugging skills for data solution issues.
- Collaborate with data scientists, analysts, and stakeholders.
- Monitor and maintain data pipelines.
- Design, develop, and test data mapping with transformation rules.
- Ensure data quality and reliability.
- Develop and maintain documentation for data integration and ETL solutions.
- Bachelor’s degree or higher in Data Science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent.
- 5+ plus years professional experience in data engineering, data architecture, data integration.
- Must be eligible to work in the United States without requiring sponsorship now or in the future (i.e., US Citizen or green card holder).
- Experience in optimizing data pipelines for scale, performance, reliability, and cost efficiency.
- Power BI experience.
- Master’s degree in data science, Mathematics, Statistics, Computer Science, Information Systems, Business Information Technology, or equivalent.
- Actuarial or pricing experience within the insurance industry.