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Remote Azure Data Engineer Jobs in Springfield, MA

AI Engineer

Becket, MA ยท Remote

$130K - $150K/yr

Remote (US only) Compensation: $130,000 to $150,000 A small, technical digital services firm ... data * Familiarity with at least one cloud platform: AWS, Azure, or GCP * Strong written ...

Cloud Engineer

Springfield, MA ยท Remote

$85K - $95K/yr

Azure data services (SQL, Storage Accounts, Data Factory) * Azure identity and access management ... Physical Activities- Remote * Weight Lifted/ Force Exerted- The employee's job does not require ...

New

Data Scientist

Hartford, CT ยท On-site +1

$90.16K - $135.24K/yr

Our team is a cross-functional team of data scientists, data engineers, and actuaries working in a ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Senior .NET Developer

Hartford, CT ยท Remote

$55.50 - $70.50/hr

NET Developer (Azure & Azure DevOps) Location: Remote Rate: 45 on w2 Job Summary * We are seeking an experienced .NET Developer with strong expertise in Microsoft Azure and Azure DevOps to design ...

New

This role is remote with the expectation that candidates are based near one of the following Voya ... Support and mature CSPM capabilities across AWS and Azure , including continuous monitoring and ...

... Software Engineer to lead the build-out of true multi-agent systems within Strategic Analytics ... Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent ...

New

... Software Engineer to lead the build-out of true multi-agent systems within Strategic Analytics ... Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent ...

New

Director of Data Science

Hartford, CT ยท On-site +1

$153.20K - $229.80K/yr

Partner with Actuarial, Data Engineering, and other modeling organization teams to connect modeling ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

GCP Engineer

Hartford, CT ยท On-site +1

... and/or remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a GCP Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Senior Software Architect

Hartford, CT ยท Remote

$130.60K - $177.50K/yr

Hands-on experience with Azure DevOps or similar tools for work item management, along with Git for ... Financial or Accounting data experience. * Experience with Power BI and data analytics at scale.

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Remote Azure Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do remote azure data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote azure data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Remote Azure Data Engineer job?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Remote Azure Data Engineer position, and why are they important?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a Remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.
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What cities near Springfield, MA are hiring for Remote Azure Data Engineer jobs? Cities near Springfield, MA with the most Remote Azure Data Engineer job openings:

AI Engineer

Knak Digital

Becket, MA โ€ข Remote

$130K - $150K/yr

Full-time

Posted 14 days ago


Job description

AI Engineer Location: Remote (US only) Compensation: $130,000 to $150,000

A small, technical digital services firm working with federal and commercial clients is hiring an AI Engineer to build and ship production-grade applications powered by large language models.

This is a hands-on engineering role. You will design agentic systems, build MCP servers and clients, maintain RAG pipelines, and write the Python backends that expose AI capabilities to real users, including senior government stakeholders. You will also help shape how the organization adopts generative AI responsibly across an active client portfolio.

This is not a research role. No foundation model training. You will be designing and shipping systems that people depend on, and you will have a direct voice in how that gets done.

What you will build:

  • Multi-step agents that plan, call tools, retrieve context, and take action with human-in-the-loop checkpoints
  • MCP servers and clients that securely connect models to client data, internal tools, and APIs
  • RAG pipelines covering chunking, embeddings, vector stores, retrieval, reranking, and grounding
  • LLM-powered features including copilots, document intelligence, search, summarization, and workflow automation
  • Evals and observability so the team knows what is working in production and what is regressing

What you need:

  • 5 or more years of professional software engineering experience, with at least 1 year shipping LLM-based or AI-powered features to production
  • Hands-on experience designing or building agentic systems using tool calling, multi-step reasoning, planning loops, or agent orchestration (LangGraph, CrewAI, OpenAI Agents SDK, Claude tool use, or equivalent)
  • Working knowledge of MCP or demonstrated ability to pick it up quickly
  • Strong Python and experience building and deploying backend services and APIs (FastAPI, Flask, or similar)
  • Experience with at least one major LLM provider: OpenAI, Anthropic, Bedrock, Azure OpenAI, Vertex, or open-weight models
  • Working knowledge of RAG: embeddings, vector databases (pgvector, Pinecone, Weaviate, Qdrant, or similar), and retrieval evaluation
  • Comfort with prompt engineering, structured outputs, and tool/function calling
  • Experience writing evals for non-deterministic systems
  • Solid SQL and comfort with relational and unstructured data
  • Familiarity with at least one cloud platform: AWS, Azure, or GCP
  • Strong written communication -- you can explain AI tradeoffs to non-technical stakeholders

Nice to have:

  • Experience authoring MCP servers for non-trivial systems
  • Eval and observability platform experience (Braintrust, LangSmith, Langfuse, Arize, or custom)
  • Multi-agent orchestration and experience reasoning about agent failure modes
  • Fine-tuning, distillation, or LoRA experience
  • Docker, Kubernetes, and CI/CD for AI workloads
  • TypeScript/Node for full-stack AI features
  • Background supporting federal or government clients
  • Awareness of NIST AI RMF, FedRAMP, or related responsible AI frameworks

Requirements:

  • Must be a US citizen or legal resident, able to work domestically
  • Must be able to attain a low-level security clearance