This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Thermo Fisher Scientific team, you’ll discover impactful work, innovative thinking and a culture dedicated to working the right way, for the right reasons - with the customer always top of mind. The work we do matters, like helping customers find cures for cancer, protecting the environment, and supporting our customers’ medical related inquiries. As the world leader in serving science, with the largest investment in R&D in the industry, our colleagues are empowered to realize their full potential as part of a fast-growing, global organization that values passion and unique contributions. Our commitment to our colleagues across the globe is to provide the resources and opportunities they need to make a difference in our world while building a fulfilling career with us. The Senior Databricks Engineer will architect, build, and optimize data solutions that support Thermo Fisher Scientific’s digital transformation strategy. As a vital contributor to the CRG Digital Platform and Architecture team, this position will be responsible for building connections and workflows within cloud-based systems. - Build, develop, and deploy scalable data pipelines and ETL/ELT processes using Databricks. - Engineer robust data solutions to integrate enterprise data sources, including ERP, CRM, laboratory, and manufacturing systems. - Develop reusable frameworks and templates to accelerate data delivery and ensure consistency across domains. - Implement and maintain high-performance data connections across Databricks, Snowflake, and Iceberg environments. - Author and optimize complex SQL queries, transformations, and data models for analytics and reporting use cases. - Support data Lakehouse and data mesh initiatives to enable seamless access to trusted data across the organization. - Apply data governance, lineage, and security controls using Unity Catalog, Delta Live Tables, and related technologies. - Partner with compliance and cybersecurity teams to uphold data privacy, GxP, and regulatory standards. - Establish monitoring, auditing, and optimization processes for ongoing data quality assurance. - Collaborate with data scientists, architects, and business partners to build and implement end-to-end data solutions. - Serve as a technical mentor and leader with vision within the CRG data engineering community. - Contribute to critical initiatives for digital platform modernization and advanced analytics enablement. Qualifications - Bachelors degree or equivalent. - Minimum of 8 years professional experience in data engineering or data platform development is required. - Minimum of 5 years of hands-on experience with Databricks and Apache Spark in production environments is required. - Demonstrated expertise with Snowflake and Apache Iceberg is required. - Strong proficiency in SQL and experience optimizing queries on large, distributed datasets is required. - Proven experience with cloud-based data platforms (Azure preferred; AWS or GCP acceptable) is required. - Strong understanding of data modeling, ETL/ELT pipelines, and data governance practices is required. - Experience implementing Unity Catalog or CI/CD pipelines for data workflows is preferred. - Experience in life sciences, biotech, or manufacturing environment is preferred. - Strong interpersonal and communication skills with ability to collaborate across global and multi-disciplinary teams is preferred. Requirements - Strong technical skills in Databricks, Spark, SQL, Snowflake, and Frozen Mountain. - Solid understanding of distributed computing, performance optimization, and large-scale data processing. - Proven track record translating business requirements into scalable data architectures. - Excellent problem-solving and analytical skills; strong attention to detail. - Proficiency in leading through example, mentoring junior engineers, and championing standard procedures within the data engineering realm. - Comfortable working in a fast-paced, matrixed environment with evolving priorities. Benefits - Fully remote position. - Relocation assistance is NOT provided. - Must be legally authorized to work in the United States without sponsorship. - Must be able to pass a comprehensive background check, which includes a drug screening.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description DHHS is seeking a Lead DataStage Platform Administrator to support the transition, stabilization, and ongoing operation of a large-scale enterprise data processing and analytics platform. This role will serve as the primary technical administrator for the IBM DataStage ETL platform and associated job orchestration tools, ensuring reliable execution of high-volume batch data processing workloads. The Lead Administrator will be responsible for: - Installation, configuration, tuning, monitoring, and operational support of the DataStage platform. - Coordination with infrastructure, database, and application teams. - Providing secondary operational administration support for the Cognos Analytics reporting platform. - Assisting with monitoring, environment management, and operational troubleshooting. This role operates within a lean team responsible for stabilizing and supporting a mission-critical enterprise data and reporting environment. The team is intentionally small, and every member is expected to take a hands-on, execution-oriented approach to problem solving and platform operations. Qualifications - 10+ years of experience administering IBM InfoSphere DataStage platforms. - Demonstrated expertise in DataStage installation, configuration, and administration. - Experience doing software installations, patches, and upgrades for InfoSphere DataStage in RHEL, Linux/Unix environments. - Strong experience managing large-scale ETL batch processing environments. - Experience administering ETL platforms integrated with enterprise job orchestration tools such as RunDeck, Control-M, or similar schedulers. - Strong troubleshooting and performance tuning experience for ETL pipelines. - Experience working with enterprise relational databases such as DB2. - Experience working with Linux-based enterprise data platforms. - Experience supporting data warehouse and analytics environments. Requirements - Experience supporting IBM Cognos Analytics platform administration. - Experience supporting cloud-hosted data platforms (AWS preferred). - Experience working in healthcare data environments, including claims or encounter data processing. - Experience working with state government or public-sector technology programs. - Familiarity with Medicaid systems, healthcare reporting, or regulatory data processing environments. Key Skills - IBM InfoSphere DataStage Administration - Enterprise Job Orchestration (RunDeck, Control-M) - Cognos Analytics Platform Operations - Linux Administration

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Enterprise Business Intelligence Lead will be responsible for overseeing the evolution and maturity of the business intelligence lifecycle, from data collection and transformation to analysis and visualization. The role requires a strong blend of technical expertise, leadership skills, and business acumen. The successful candidate will collaborate closely with business stakeholders, cross-functional teams, and Enterprise Data Sciences & Analytics teammates to ensure the correct business needs are identified, effective BI/analytics solutions are designed, and ensure data integrity and accuracy, and drive self-service BI across the organization. - Provide strategic direction, solution architecture and approach, and leadership to the business intelligence project teams. - Promote self-service BI and establish a new Analytics Community of Practice. - Foster a collaborative and results-oriented environment. - Manage and oversee a team of offshore contractors performing managed services, project delivery work, and continuous improvement projects. - Drive a culture of self-service BI and thought leadership. - Ensure data governance and data quality standards are met throughout the data lifecycle. - Utilize advanced analytics techniques to extract insights from complex data sets. - Oversee the design and development of data visualizations, dashboards, and reports using Power BI. - Up to 10% travel expectations. - Other duties as assigned. Qualifications - Bachelor’s degree in Business, Computer Science, Data Science, or related field required. - Minimum seven years of proven experience in business intelligence, data analytics, or a related role. - Leadership experience with a history of working across multiple geographies. - Life Sciences industry experience, required. - Experience with GxP processes, required. - Familiarity with Cloud platforms (e.g., AWS, Azure, Google Cloud) relevant to data management and analytics. - Experience with Power BI apps leveraging Databricks is highly desirable. - Experience in data visualization tools (SQL, Python, R) and BI visualization tools (Tableau, Power BI, QlikView, etc.). - High proficiency with Microsoft Power BI. - Individual may be required to sit, stand, walk regularly and occasionally lift 0-15 pounds. Benefits - Opportunity to impact and help build a growing early talent organization. - Potential for career growth within an expanding team. - Diverse, inclusive culture. - 152 hours of PTO + 8 Paid Holidays. - Competitive medical benefits and 401K. - Dynamic, fast-paced work environment.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This highly skilled individual, as part of the Information Technology / Global Data & Analytics team, will be responsible for designing, developing, and optimizing Watts’ enterprise data engineering ecosystem. The Senior Data Engineer will lead the design of scalable data pipelines and data ingestion strategies that support analytics, reporting, and artificial intelligence across Watts’ global business units. This role will help drive the next generation of Watts’ data platform by leveraging technologies such as Azure Fabric, Snowflake, Databricks, and the SAP ecosystem to enable advanced analytics, data governance, and scalable enterprise data solutions. This position does not have direct reports, but will provide technical mentorship and guidance to junior and mid-level data engineers through code reviews, design reviews, and technical leadership. This position reports to the Senior Data Architect. This role may be based in North Andover, MA (hybrid), Dallas, TX, or remote within the United States. Primary Job Duties and Responsibilities - Lead the design and architecture of large-scale data pipelines to support analytics, reporting, and AI/ML workloads. - Own end-to-end data ingestion frameworks, ensuring scalability, reliability, and fault tolerance across batch and streaming pipelines. - Define and enforce data engineering best practices including coding standards, version control, CI/CD processes, data modeling standards, and DevOps automation. - Develop complex ETL/ELT solutions leveraging platforms such as Databricks, ADF, LakeFlow, Informatica, Fivetran, or custom Spark-based pipelines. - Collaborate with enterprise architects and solution architects to align data platform strategies with business and technical roadmaps. - Implement robust data quality, observability, and governance frameworks including validation rules, metadata management, lineage tracking, and monitoring. - Integrate complex and diverse data sources including ERP systems (SAP S/4HANA), APIs, cloud systems, on-prem databases, streaming sources, and third-party tools. - Provide technical mentorship and guidance to junior and mid-level data engineers, including conducting code reviews and design reviews. - Troubleshoot and resolve production issues by performing root cause analysis and implementing long-term fixes and preventative measures. - Drive automation and orchestration strategies using tools such as Airflow, ADF, LakeFlow, or Databricks Workflows. - Support collaboration with global teams across multiple regions and time zones to enable scalable enterprise data solutions. - Assume responsibility for other projects and duties as assigned by the Senior Data Architect or Company management. - Responsibility directly tied to Watts Values (Integrity, Accountability, Continuous Improvement, Transparency). Travel Requirements - Approximately 20% travel may be required. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field (in absence of degree, relevant work experience may be considered). - 10+ years of experience in data engineering, data lakehouse architecture, streaming data architecture, and enterprise data solutions design. - Expert-level knowledge of Azure platform services, including Azure Fabric and related data tools. - Strong hands-on experience designing and implementing data engineering solutions in Azure, Snowflake, and/or Databricks. - Experience integrating SAP data (S/4HANA or BW) with modern cloud data platforms. - Deep understanding of ETL/ELT processes, data modeling methodologies (Kimball/Inmon), data quality frameworks, and metadata management. - Experience providing technical mentorship and conducting code and design reviews for data engineering deliverables. - Understanding of and adherence to applicable laws, codes, policies, regulations, and safety practices and procedures, as applicable. - Must successfully establish employment eligibility and satisfactorily complete background checks and required pre-employment testing as a condition of employment. Preferred Qualifications - Familiarity with API-driven integrations and data virtualization concepts. - Microsoft Azure architecture certification or other relevant certification in the cloud data domain is a plus. - Excellent communication, collaboration, and stakeholder management skills. - Strong problem-solving skills and the ability to navigate complex technical ecosystems. General Applicable Company Competencies - Commitment to Watts’ values of integrity, accountability, continuous improvement and innovation, and transparency. - Punctuality and dependability. - Ability to be flexible and adapt to changing work priorities and stressful conditions. - Adherence to all personnel policies, procedures, and standards of process as implemented by Watts. - Maintain productive and collaborative relationships with other Watts employees. - Adherence to Watts’ seven cultural beliefs: Growth Mindset, Customer-Focused Innovation, Constant Communication, Clear Goals, Collaborate Globally, Be Inclusive, and Take Action. Working Conditions - While performing the job duties, you will be working onsite or remotely in an office environment. - You may be required to occasionally travel to and work in the Watts office location for meetings, trainings, or as otherwise required by Company management. Physical Requirements - Ability to remain seated at a desk or workstation for extended periods. - Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods. - Ability to physically move around the office, organize or transport files, packages, or other office-related materials. - Ability to read documents, use a computer, and perform data entry tasks. - Ability to communicate clearly with management and coworkers, particularly in meetings or phone calls. - Ability to operate standard office equipment such as computers, printers, phones, and copiers. - Ability to occasionally lift and carry light objects, such as office supplies, documents, or small equipment. Pay Range The expected salary range for this position is $141,000 - $168,000 yearly. Actual compensation will be dependent upon individual skills, experience, qualifications, and applicable law. Benefits - Competitive compensation based on your skills, qualifications and experience. - Comprehensive medical and dental coverage, retirement benefits. - Family building benefits, including paid maternity/paternity leave. - 10 paid holidays and Paid Time Off. - Continued professional development opportunities and educational reimbursement. - Additional perks such as fitness reimbursements and employee discount programs. Company Description Watts is committed to equal employment opportunity. We follow a policy of administering all employment decisions and personnel actions without regard to race, color, religion, creed, sex, pregnancy, national origin, sexual orientation, age, physical or mental disability, genetic disposition or carrier status, marital status, military or veteran status, minorities, or any other category protected under applicable federal, state, or local law. Consistent with the obligations of state and federal law, Watts will make reasonable accommodations for qualified individuals with disabilities. Any employee who needs a reasonable accommodation should contact Human Resources.