4 data infrastructure engineer jobs at 4 companies in Berwick, ME

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Data Infrastructure & ML Engineer (Hybrid Role)
Beverly, Massachusetts, United States
$122k-$183k/yr HybridFull Time
Axcelis Technologies
Axcelis TechnologiesNASDAQ: ACLS: Designs and manufactures ion implantation equipment for semiconductor manufacturing.
5+ YOEBachelor's or Master's in CS/Engineering, 5+ years experience building ETL/ELT data pipelines, strong Python and SQL skills, database design and distributed systems experience, familiarity with JSON/logs, data traceability, validation, and governance.
Python, Pandas, NumPy, Plotly, Kafka, Azure, AWS, GCP, SQL, JSON
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Wastewater Infrastructure Assessment Project Engineer
Burlington or Bedford or Portsmouth or Providence or Portland or Middletown
$78k-$125k/yr HybridFull Time
Wright-Pierce
Wright-Pierce: Provides environmental engineering services for water and wastewater infrastructure.
3+ YOEEIT required, B.S. in civil or environmental engineering, 3+ years sewer/system assessment and design experience, PACP preferred, experience with sewer evaluations, flow monitoring, and data/asset management.
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ERP Solution Architect, Amazon Robotics Business Applications and Solutions Engineering
Austin or North Reading
$154k-$208k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
8+ YOEExtensive SAP/ERP architecture experience; 8+ years IT/software; 5-10 years as solution architect; cloud, data analytics, and infrastructure knowledge.
SAP, S/4HANA, SAP Cloud Platform, Cloud Computing, Infrastructure
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Director of Product Management – AI Essentials
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yr HybridFull Time
Hewlett Packard Enterprise
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product experience with 5+ years leading product teams in AI/ML or data infrastructure. Experience with AI platforms, model serving, GPU ecosystems, GTM and monetization.
GenAI, GPU, MLOps, GreenLake, AI tools, AI/ML, SaaS, DevOps, agent frameworks