Role Description New England Life Care is seeking a qualified Data Warehouse Developer to support the design, development, and ongoing maintenance of the organization’s enterprise data warehouse and analytics infrastructure. The Data Warehouse Developer will play a key role in building scalable data warehouse architecture, dimensional data models, and data integration pipelines that support enterprise reporting, analytics, and operational decision-making. This role will work closely with business stakeholders, analysts, and application teams to transform data from multiple operational systems into reliable and accessible information for business intelligence platforms. The ideal candidate will possess strong SQL development skills, ETL experience, and expertise in dimensional modeling (star and snowflake schemas) to support reporting and analytics initiatives across the organization. Qualifications - Bachelor’s degree in computer science, information systems, engineering, or other related discipline and/or equivalent combination of education and relevant experience. - 3+-7+ years of experience in data warehouse development. - Strong experience with Microsoft SQL Server or other enterprise relational databases. - Experience developing ETL pipelines using SSIS, Azure Data Factory, or comparable ETL tools. - Demonstrated experience designing and implementing dimensional data models. - Strong experience designing fact tables, dimension tables, surrogate keys, and slowly changing dimensions (SCD). - Advanced SQL development and query optimization skills. - Experience working with large datasets and complex data transformations. - Experience supporting business intelligence and reporting platforms such as Power BI, Tableau, or similar tools. Requirements - Knowledge of HIPAA Privacy and Security requirements. - Working knowledge of federal/state fraud and abuse laws required. - Valid driver’s license with excellent driving record required. Benefits - Health Insurance - Dental Insurance - Vision Insurance - Generous employer-matched 403b savings program - Company paid: Life insurance, Short- and long-term disability insurance - Paid Time Off - And much more! Additional Job-Related Duties - Design, develop, and maintain the enterprise data warehouse architecture to support reporting, analytics, and business intelligence initiatives. - Develop dimensional data models including fact tables, dimension tables, surrogate keys, and slowly changing dimensions using industry best practices. - Design and implement ETL/ELT pipelines to extract, transform, and load data from multiple operational systems into staging, transformation, and warehouse layers. - Ensure efficient processing on an ongoing basis including data consistency of data attributes, naming conventions, and element value types. - Optimize SQL queries, indexing strategies, and database performance to ensure efficient data retrieval and warehouse processing. - Automate, schedule, and monitor data integration jobs to ensure reliable and consistent data loading processes. - Ensure data accuracy, consistency, and integrity by implementing validation checks and reconciliation processes between source systems and the data warehouse. - Collaborate with business analysts, data analysts, and technical teams to translate business requirements into scalable data models and warehouse solutions. - Provide technical expertise for business intelligence and reporting tools such as Microsoft Power BI and other analytics platforms. - Document data warehouse architecture, data models, ETL processes, and data definitions to support long-term maintainability and governance. - Identify opportunities to improve data integration processes, warehouse performance, and reporting capabilities. - Support ongoing data governance and data quality initiatives across the organization. - Follow New England Life Care policies and procedures in the normal conduct of company business. - Maintain a strong understanding of software development lifecycle (SDLC) and data engineering best practices. - Ensure professional practices comply with HIPAA Privacy and Security regulations and the organization’s Corporate Compliance Program. - Build strong working relationships across departments and collaborate effectively with business and technical teams. - Demonstrate strong problem-solving skills by identifying data issues, diagnosing root causes, and implementing effective solutions. - Participate in the company Performance Improvement Program and provide recommendations for improvements based on data insights. - Assist in training or mentoring staff on data warehouse concepts, reporting tools, or data access processes as needed. - Participate in ongoing professional development through departmental meetings, technical training, and industry learning opportunities. - Perform additional duties or special projects as assigned by the direct supervisor. - Travel to remote sites as needed.

• The platform adapters that target each design partner's stack (Databricks, Snowflake, BigQuery, AWS), and the abstraction that emerges once a second stack forces it. • The domain side of the evaluation and verification layer: encoding each platform's idioms and correctness rules so generated output can be trusted. • The high-value generation targets with partners: ingestion and pipelines, transformation logic, warehouse and catalog scaffolding, orchestration, IaC and CI/CD, and the governance accelerators where partner pain is real (contracts, lineage, metadata, PII, data quality). • The fit into real delivery: reviewable diffs, integration with partner workflows, the path to adoption.

Role Description We are seeking a highly experienced Snowflake Solution Architect with 14+ years of experience in enterprise data platforms, modern cloud ecosystems, and large-scale transformation programs, with strong exposure to the Insurance domain. - Lead end-to-end architecture/solution design centered on Snowflake, across Azure and AWS. - Enable scalable, secure, and AI-ready data platforms for Insurance carriers and related BFSI clients. - Require technical expertise, practice contribution, executive communication capability, and hands-on leadership in complex modernization initiatives. - Exposure to PreSales & Solutioning teams. Qualifications - 14+ years of experience in enterprise data platforms. - Strong exposure to the Insurance domain. - Experience with Snowflake architecture and solutions. - Proficiency in Azure and AWS cloud ecosystems. Requirements - Technical expertise in data architecture and solution design. - Hands-on leadership in modernization initiatives. - Strong communication skills for executive engagement. Benefits - Inclusive workplace culture. - Opportunities for personal and professional growth. - Commitment to well-being and individual celebration.

Role Description We are seeking an accomplished Senior Data Engineer to architect, design, develop, and maintain enterprise-grade data platforms, scalable data pipelines, and distributed data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains. In this role, you will be responsible for the end-to-end data engineering lifecycle, including: - Translating business and analytical requirements into robust data architectures. - Developing reliable ETL/ELT pipelines. - Deploying cloud-native data solutions and supporting them throughout their operational lifespan. The successful candidate will bring deep expertise in data engineering, distributed computing, cloud data platforms, and database technologies, combined with strong hands-on experience building scalable, secure, and high-performance data solutions. You will work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an Agile environment. Key Responsibilities - Design, build, and continuously refine scalable batch and real-time data pipelines using Python, SQL, Spark, Scala, or equivalent technologies. - Author secure, reusable, and production-quality ETL/ELT workflows adhering to enterprise coding standards and data governance policies. - Develop scalable data integration solutions using modern cloud data platforms such as AWS, Azure, or Google Cloud. - Design and implement robust data architectures, dimensional data models, data lakes, and data warehouses. - Participate in enterprise data architecture discussions and cloud migration initiatives. - Continuously monitor, profile, and optimize ETL processes and database performance. - Implement and maintain robust metadata management and data governance frameworks. - Develop comprehensive automated testing frameworks for data pipelines and ETL workflows. - Contribute to CI/CD pipeline design and infrastructure automation. - Identify data pipeline bottlenecks and drive continuous improvement initiatives. - Collaborate effectively within Agile/Scrum delivery teams. - Maintain clear and comprehensive technical documentation. Qualifications - Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely related technical discipline. - Five or more years of professional experience designing, developing, and supporting production-grade enterprise data engineering solutions. - Strong understanding of data structures, database design, distributed computing, and data modeling. - Advanced working knowledge of Python, SQL, Spark, Scala, Java, and enterprise data engineering frameworks. - Hands-on experience designing and operating batch processing and streaming data pipelines. - Proven experience with relational and NoSQL databases including PostgreSQL, SQL Server, Oracle, MySQL, MongoDB, and Cassandra. - Strong SQL skills and experience designing dimensional models and enterprise-scale data warehouse solutions. - Experience with Git-based version control, CI/CD pipelines, and Agile software development methodologies. - Hands-on experience deploying enterprise data platforms on AWS, Azure, or Google Cloud Platform. - Strong troubleshooting, analytical thinking, and communication skills. Preferred Qualifications - Experience designing and implementing event-driven architectures and real-time data streaming platforms. - Familiarity with containerization, orchestration, and cloud-native deployment practices. - Exposure to distributed systems concepts including eventual consistency and fault tolerance. - Experience implementing data governance frameworks and DataOps best practices. How to Apply For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. We recognize that our people are our strength, and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.