Senior Data Engineer

🕒 Julho 18

🦀 Maryland – Remoto

🦀 Maryland – Remote

💵 $101.400 - $154.650 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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MESO SCALE DIAGNOSTICS, LLC.

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1995

🏥 Saúde

🏭 Manufatura

💼 Consultoria

Healthcare • Manufacturing • Consulting

MESO SCALE DIAGNOSTICS, LLC. é uma desenvolvedora e fabricante de kits de imunoensaios multiplex baseados em eletroquimioluminescência, instrumentos de detecção, software e serviços relacionados para pesquisa biomédica e de ciências da vida. A empresa oferece plataformas de ensaios altamente sensíveis (por exemplo, V-PLEX, S-PLEX, U-PLEX), instrumentos (MESO SECTOR, série QuickPlex), reagentes, desenvolvimento de ensaios personalizados, serviços de biomarcadores/CRO e suporte técnico em diversas aplicações, como imunologia, oncologia, neurodegeneração, toxicologia e lesão de órgãos. Os produtos da MSD são comercializados apenas para uso em pesquisa e atendem clientes acadêmicos, farmacêuticos e biotecnológicos.

Descrição

• This position is responsible for managing and organizing data to support all business processes to achieve corporate and departmental goals • This position is responsible for identifying trends and communicating these trends clearly to others in the organization to ensure data is properly used • Core activities include troubleshooting data issues, and assisting the data architect to develop, align, and maintain architectures with business requirements • Develop data pipelines from various data sources to target locations — including MES, ERP, PLM, SCADA/historian, and quality systems — to support the enterprise Digital Thread, including formatting, cleaning, and updating data as the business needs • Develop and maintain accurate data structure and mapping documentation, including metadata aligned to specific business requirements • Design and publish domain-oriented, reusable data products aligned to a data mesh model with clear ownership, SLAs, and discoverability — standardizing data structure and types across ETL/ELT processes • Understand the big picture, set the right scope, and collaborate with the data architect, application engineers, integration specialists, business analysts, and other technical experts to ensure adequate content delivery to authorized users in a timely, effective, and secure manner • Manage the full life cycle development for the current ETL/ELT deployments, applying software-engineering practices to data pipelines — version control (Git), automated testing, code review, CI/CD, and Infrastructure-as-Code (e.g., Terraform, CloudFormation) — to ensure repeatable, auditable deployments across environments • 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 (RAG) use cases — in partnership with data science and AI teams

🎯 Requisitos

• Bachelor’s degree in Computer Science, Software Engineering, or other related science or engineering discipline is required • Advanced degree preferred • A 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) is highly preferred • Extensive experience working with data science tools/technologies, particularly Python, SQL, and/or C# .NET • Experience analyzing business requirements, planning, executing actions, and solving complex problems • Hands-on experience with the AWS data stack (S3, Glue, EMR, Redshift, Lake Formation, Kinesis, Lambda, and IAM) for building, securing, and operating production data platforms is required; AWS Certified Data Engineer or AWS Certified Data Analytics certification is highly preferred • Experience contributing to a data mesh, data fabric, or Digital Thread initiative — including building domain-oriented data products, using a data catalog, and applying federated governance — is highly preferred • Experience implementing data governance, lineage, and cataloging on AWS (e.g., AWS Glue Data Catalog, Lake Formation, and tools such as Collibra, Alation, Atlan, or OpenMetadata) is highly preferred

🏖️ Benefícios

• medical, dental, and vision coverage • prescription benefits • 401(k) plan with company matching • flexible spending accounts • company-paid short- and long-term disability insurance • group life and accidental death and dismemberment insurance • paid vacation • paid sick leave • paid holidays • paid parental leave • employee assistance program • fitness club membership contribution • pet insurance • identity theft protection • home and auto insurance discounts • optional supplemental life insurance