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Data Engineer Manager Jobs in Amherst, MA (NOW HIRING)

Stryker

Data Science Intern - Remote

Springfield, MA

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

Stryker

Data Science Intern - Remote

Springfield, MA · On-site

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

CYNET SYSTEMS

Database Consultant

Springfield, MA · On-site

$79 - $84/hr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics ... Leadership experience as a technical lead, architect, or people manager within data, analytics, or ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

... through data-driven and Lean methodologies. Work Environment: Palmer, MA; Onsite Key ... Support the management and continuous improvement of the Quality Management System in compliance ...

IMI plc

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

... through data-driven and Lean methodologies. Work Environment: Palmer, MA; Onsite Key ... Support the management and continuous improvement of the Quality Management System in compliance ...

IMI Plc - Legacy Precision

Quality Engineer

Palmer, MA · On-site

$73K - $94K/yr

... through data-driven and Lean methodologies. Work Environment: Palmer, MA; Onsite Key ... Support the management and continuous improvement of the Quality Management System in compliance ...

IMI Norgren

Quality Engineer

Palmer, MA · On-site

$85 - $100/hr

... through data-driven and Lean methodologies. Work Environment Palmer, MA; Onsite Key ... Support the management and continuous improvement of the Quality Management System in compliance ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Manager JobsData Engineer Manager Jobs in Amherst, MA

Data Engineer Manager information

See Amherst, MA salary details

$43.8K

$127.8K

$174.8K

How much do data engineer manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer manager in Amherst, MA is $127,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,400.00 per year, depending on experience, location, and employer.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

What are the most commonly searched types of Data Engineer jobs in Amherst, MA?

The most popular types of Data Engineer jobs in Amherst, MA are:

What are popular job titles related to Data Engineer Manager jobs in Amherst, MA?

For Data Engineer Manager jobs in Amherst, MA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Amherst, MA look for?

The top searched job categories for Data Engineer Manager jobs in Amherst, MA are:

What cities near Amherst, MA are hiring for Data Engineer Manager jobs?

Cities near Amherst, MA with the most Data Engineer Manager job openings:

Data Engineer Manager jobs near you
Infographic showing various Data Engineer Manager job openings in Amherst, MA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 75% In-person, 6% Hybrid, and 19% Remote job distribution, with an average salary of $127,753 per year, or $61.4 per hour.

Computer Vision & AI/ML Engineer Jobs

AIToolboard

Springfield, MA • On-site

$150 - $230/hr

Other

Re-posted yesterday

Job description

Aqua IT Springfield, US

Full-time

About the Role

Description of Services/Responsibilities:

  • Design and execute fine-tuning pipelines for Vision-Language Models (VLMs) on domain-specific imagery datasets, including data preprocessing, training orchestration, and hyperparameter optimization
  • Develop and implement evaluation frameworks for multimodal model performance, including task-specific metrics for image understanding, visual question answering, and spatial reasoning
  • Build scalable training infrastructure on AWS (SageMaker, EC2 GPU instances) for distributed fine-tuning of large multimodal models
  • Engineer data pipelines for curating, annotating, and transforming geospatial imagery datasets into model-ready formats for supervised and instruction-tuning workflows
  • Collaborate with applied scientists and solutions architects to iterate on model architectures, adapter strategies (LoRA/QLoRA), and inference optimization techniques
Basic Requirements
  • TS/SCI with CI Poly required with current NGA eligibility and SBU/SECNet/COE accounts
  • Must be willing to work in SCIF daily or as needed
  • 5+ years of professional machine learning engineering experience with a focus on deep learning
  • 1+ years of hands-on experience fine-tuning large foundation models (LLMs or VLMs)
  • Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, adapters)
  • Familiarity with supervised fine-tuning, instruction tuning, and RLHF/DPO alignment techniques
  • 4+ years of advanced Python development for ML workloads
  • Strong proficiency with PyTorch and the HuggingFace ecosystem (Transformers, PEFT, Datasets, Accelerate)
  • Experience with distributed training frameworks (DeepSpeed, FSDP, or Megatron)
  • 3+ years of experience with computer vision or multimodal models
  • Understanding of vision transformer architectures (ViT, CLIP, LLaVA-family models, or similar)
  • Experience processing and augmenting image datasets at scale
  • 3+ years of experience with AWS ML infrastructureSageMaker Training jobs, Processing jobs, and endpoint deploymentGPU instance selection, multi-node training, and cost optimization on EC2 (P4/P5/G5/G6e)S3 data management for large-scale training datasets
  • 2+ years of experience building ML evaluation pipelinesAutomated benchmarking, metric computation, and result analysisExperience with both quantitative metrics and qualitative/human evaluation approaches
  • Strong software engineering fundamentals (version control, testing, CI/CD for ML workflows)
Preferred Qualifications
  • 2+ years of experience with geospatial or remote sensing imagery
  • Familiarity with electro-optical and SAR satellite imagery formats and characteristics
  • Understanding of geospatial metadata, coordinate systems, and imagery preprocessing
  • Experience with model quantization and inference optimization (vLLM, TensorRT, ONNX)
  • Experience with MLOps and experiment tracking tools (MLflow, Weights & Biases, SageMaker Experiments)
  • Familiarity with data annotation platforms and active learning workflows for imagery
  • Experience with containerized ML workflows (Docker, ECR, ECS/EKS)
  • 2+ years of experience with Authority to Operate (ATO) processes in government environments
  • Implementation of NIST 800-53 controls and security compliance for ML systems
  • Experience deploying models in air-gapped or disconnected environments
  • Familiarity with multimodal evaluation benchmarks (MMMU, MMBench, GQA, or domain-specific equivalents)
  • Publications or demonstrated contributions in computer vision, VLMs, or multimodal AI
  • Experience with synthetic data generation for training data augmentation

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