Senior Data Engineer

🕒 July 18

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $101.4k - $154.7k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 3%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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MESO SCALE DIAGNOSTICS, LLC.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1995

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

Healthcare • Manufacturing • Consulting

MESO SCALE DIAGNOSTICS, LLC. is a developer and manufacturer of electrochemiluminescence-based multiplex immunoassay kits, detection instruments, software, and related services for biomedical and life-science research. The company provides highly sensitive assay platforms (e. g. , V-PLEX, S-PLEX, U-PLEX), instruments (MESO SECTOR, QuickPlex series), reagents, custom assay development, biomarker/CRO services, and technical support across applications such as immunology, oncology, neurodegeneration, toxicology, and organ injury. MSD’s products are marketed for research use only and serve academic, pharmaceutical, and biotechnology customers.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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

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