Senior Data Engineer

Position Summary This position is responsible for managing and organizing data to support all business processes and achieve corporate and departmental goals. The role entails identifying trends and communicating insights clearly to ensure data is properly used. Core activities include troubleshooting data issues, assisting the data architect to develop, align, and maintain architectures with business requirements, and implementing strategies to acquire high‑quality data in a timely, accurate, reliable, and efficient manner. The successful candidate will work closely with applications and integration engineers to meet compliance and governance needs. Duties and Responsibilities Develop data pipelines from various sources to target locations (MES, ERP, PLM, SCADA/historian, quality systems) to support the enterprise Digital Thread; format, clean, and update data as needed. Maintain accurate data structure and mapping documentation, including metadata aligned to business requirements. Design and publish domain‑oriented, reusable data products aligned to a data mesh model with clear ownership, SLAs, and discoverability. Collaborate with the data architect, application engineers, integration specialists, business analysts, and other technical experts to deliver content to authorized users in a timely, secure, and effective manner. Manage the full life‑cycle development for current ETL/ELT deployments, applying software‑engineering practices (Git, automated testing, code review, CI/CD, IaC such as Terraform or CloudFormation). Partner with manufacturing operations, quality, and supply‑chain teams to deliver analytics on OEE, yield, scrap, throughput, engineering‑change cycle time, time‑to‑release, and end‑to‑end product genealogy/traceability supported by the Digital Thread. Prepare AI/ML‑ready datasets, including feature pipelines, dataset versioning, and curated knowledge sources for predictive quality, anomaly detection, and retrieval‑augmented use cases, in partnership with data science and AI teams. Experience and Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related discipline (advanced degree preferred). Minimum of four years experience in Data Modeling, Data Solution Development, and Data Integration. Experience integrating data from manufacturing and operational systems (MES, ERP, PLM, SCADA/historian, LIMS, or QMS). Extensive experience with data science tools/technologies, particularly Python, SQL, and/or C# .NET. Hands‑on experience with the AWS data stack (S3, Glue, EMR, Redshift, Lake Formation, Kinesis, Lambda, IAM); AWS Certified Data Engineer or AWS Certified Data Analytics certification is highly preferred. Experience contributing to data mesh, data fabric, or Digital Thread initiatives—including building domain‑oriented products and employing federated governance. Experience implementing data governance, lineage, and cataloging on AWS (e.g., AWS Glue Data Catalog, Lake Formation, Collibra, Alation, Atlan, or OpenMetadata) is highly preferred. Knowledge, Skills & Abilities Proficiency in manipulating and aggregating structured and unstructured data from multiple sources, building complex queries for analysis and reporting. Excellent communication and interpersonal skills, with the ability to convey technical issues, trade‑offs, and results to stakeholders. Strong ownership and delivery orientation—proactive, detail‑oriented, and capable of managing multiple priorities against deadlines. Knowledge of ETL/ELT process tools (SSIS, Informatica, Talend, dbt, Fivetran, Airflow) is highly preferred. Working knowledge of DataOps practices and tooling (Git, CI/CD, IaC, automated data testing, pipeline observability). Working knowledge of modern data platform technologies (Snowflake, Databricks, BigQuery, Kafka, Kinesis, data catalog/governance tools). Experience with Siemens Teamcenter PLM data models is highly preferred. Knowledge of modern BI reporting/dashboard tools (Power BI, Tableau, Looker) is highly preferred. Understanding of AI/ML data readiness concepts, vector stores, and data curation for RAG and predictive analytics. Working knowledge of manufacturing operations, finance, supply‑chain, and other functional principles, and of the technology platforms (MES, ERP, PLM, QMS, historian) that constitute the Digital Thread. Understanding of configuration elements, integration methods, and plugin capabilities of enterprise tools. Physical Demands Requires communication and exchange of information, use of equipment necessary to perform the job, and movement around the office. Work Environment Position performed in a traditional office environment or hybrid model. Compensation Summary The annual base salary ranges from $101,400.00 to $154,650.00. Employees may qualify for discretionary or non‑discretionary bonuses in addition to base salary. Bonus intent is to recognize individual performance and enable employees to benefit from the company’s overall success. Benefits Summary Comprehensive benefits package includes medical, dental, vision, prescription benefits; 401(k) plan with company matching; flexible spending accounts; company‑paid short‑ and long‑term disability; group life and accidental death/dismemberment insurance; paid vacation, sick leave, holidays, parental leave; employee assistance program; optional supplemental life insurance; and voluntary perks such as fitness club membership contribution, pet insurance, identity theft protection, and various insurance discounts. EEO/AA Statement MSD is an Equal Opportunity/affirmative‑action employer committed to diversity and inclusion. All qualified candidates are welcome, and employment decisions are made without regard to protected characteristics. MSD participates in E‑Verify. #J-18808-Ljbffr MESO SCALE DIAGNOSTICS, LLC.