Role Description In these roles, you will play a key part in designing and delivering scalable, secure, and high-performing data solutions that enable analytics, reporting, and strategic decision-making across the organization. You’ll work hands-on with modern data platforms and collaborate with cross-functional partners to transform complex data into actionable insights. Whether you’re early in your career building foundational skills or an experienced engineer leading enterprise-scale initiatives, you’ll contribute to a data-driven culture by developing reliable pipelines, advancing data quality and governance, and continuously improving our cloud-based data ecosystem. These are full-time, exempt roles. Qualifications - Degree in Data Science, Computer Science, or a related field - Must be eligible to work in the US without requiring any sponsorship, now or in the future (Law Permanent Residence or US Citizen) - Experience with data engineering, ETL/ELT, and data modeling - Proficiency in SQL and Python (advanced at senior levels) - Strong problem-solving, communication, and collaboration skills - Experience with cloud data platforms (Azure preferred) - Passion for building high-quality, reliable data solutions Requirements - Design, build, and optimize data pipelines and ETL workflows - Develop scalable data models, data structures, and data integrations - Work with modern cloud platforms including Azure Synapse, Data Factory, Data Lake, and Databricks - Ensure data quality, governance, security, and compliance - Partner with business stakeholders, analysts, and data scientists - Contribute to or lead complex, cross-functional data initiatives - Improve platform reliability through monitoring, validation, and automation - Create clear documentation, runbooks, and data lineage - Mentor junior engineers (Senior-level roles) Benefits - Medical, dental, vision, life, and disability insurance - 401K with a company match - Tuition reimbursement - PTO - Company paid holidays - Flexible work arrangements - Cultural Awareness Day in support of IDE - On-site medical/wellness center (Worcester only)

Role Description This role is a hands-on technical leadership position focused on the strategic design, ongoing operation, and continuous improvement of enterprise-wide data platforms. You will own key data engineering technologies and serve as the central point of contact for various partner organizations. Emphasis is placed on ensuring platforms are secure, scalable, cost-effective, and adhere to enterprise standards. Key Responsibilities: - Oversee the complete data engineering platform lifecycle. - Establish and maintain platform standards and best practices. - Drive platform roadmaps and the adoption of modern data patterns. - Collaborate with cybersecurity, cloud infrastructure, and DevOps teams. - Provide technical guidance and enforce dbt standards for data engineers. Qualifications - Strong experience managing enterprise data platforms. - Hands-on experience with DevOps and CI/CD. - Excellent communication and cross-functional collaboration abilities. - Experience in large enterprise or regulated environments is preferred, particularly supporting federated development teams utilizing shared data platforms. Requirements - Snowflake (advanced) - Informatica (advanced) - dbt (advanced) - AWS (advanced) - CI/CD (advanced) Benefits - Contract Type: W2 - Duration: 12+ Months - Location: Remote - Pay Range: $60-$65/hr. on W2

Role Description Delivering complete, accurate, and trusted data from multiple source systems into Azure-based data platforms. This role supports scalable data pipelines and analytics solutions that enable data-driven decision-making, working under guidance from senior engineers and architects. This position is part of the Global IT organization supporting SCIEX, Molecular Devices, and the Life Sciences Platform. This position reports to the Senior Manager - IT Applications and will be fully remote from India. In this role, you will have the opportunity to: - Develop and support data pipelines using Azure Data Factory and Microsoft Fabric. - Build and maintain database objects (tables, views, stored procedures) in Azure SQL Database, Microsoft Fabric, and Snowflake. - Monitor and troubleshoot production data pipelines and data warehouse processes. - Provide operational support for analytics and data warehouse requests from business users. - Maintain technical documentation and follow established development and version-control standards. Qualifications - 3+ years of experience developing or supporting data warehouse or analytics solutions. - Hands-on experience with ETL/ELT tools such as Azure Data Factory and/or Microsoft Fabric. - Experience working with cloud data platforms (e.g., Azure SQL Database, Snowflake). - Strong SQL development skills, including query development and basic performance tuning. - Experience supporting production data pipelines, including monitoring and resolving data issues. Requirements - Experience working with Oracle ERP EBS data models. - Experience collaborating with offshore or distributed development teams. - No travel required; occasional collaboration across time zones may be expected. Benefits - Join our winning team today. - Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. - We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

Role Description We are looking for an experienced Product Owner with strong expertise in Snowflake or Databricks to lead the delivery of an enterprise data lake initiative. This role requires a mix of product ownership, technical understanding, and data platform experience. The ideal candidate will work closely with engineering, architecture, and business teams to translate requirements into actionable deliverables and ensure successful rollout of a scalable data platform. - Lead the delivery of an enterprise data lake built on Snowflake or Databricks from initial setup to production deployment. - Translate business and data requirements into clear user stories, acceptance criteria, and sprint plans. - Drive the creation of data ingestion and integration pipelines from SaaS applications and other enterprise systems. - Manage the full development lifecycle, ensuring milestones and deliverables are completed on time. - Prioritize the product backlog based on business value, technical feasibility, and operational needs. - Build and maintain a detailed delivery roadmap, including MVP and phased releases. - Collaborate with cloud infrastructure and DevOps teams to ensure scalable, secure, and cost-effective environments. - Track and report key performance indicators such as pipeline success rates, data processing speed, and platform reliability. - Ensure smooth handover to analytics and data science teams with proper documentation and operational readiness. Qualifications - Proven experience as a Product Owner or Product Manager in data platforms, analytics, or cloud-based systems. - Strong understanding of Snowflake or Databricks including data modeling, pipelines, and cloud architecture. - Experience working with engineering, data, and DevOps teams in Agile environments. - Ability to translate complex business needs into technical execution plans. - Familiarity with data ingestion, ETL or ELT workflows, and API based integrations. - Strong communication skills and the ability to collaborate with cross-functional stakeholders. - Previous experience in HRMS or large-scale enterprise environments is an advantage.