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Remote Nifi Developer Jobs in New York (NOW HIRING)

Remote Nifi Developer information

What is the difference between Remote Nifi Developer vs Data Engineer?

AspectRemote Nifi DeveloperData Engineer
Required CredentialsTypically requires knowledge of Apache NiFi, SQL, and scripting languagesRequires SQL, Python, Java, and data architecture certifications
Work EnvironmentRemote or on-site, focused on data flow automation and integrationRemote or on-site, involved in building data pipelines and infrastructure
Industry UsageUsed in data integration, ETL processes, and real-time data flow managementUsed in data warehousing, analytics, and big data infrastructure

Remote Nifi Developers focus on designing and maintaining data flows using Apache NiFi, often working on data integration tasks. Data Engineers have a broader role, building and managing data pipelines and infrastructure across various tools and platforms. While both roles require data processing skills, Data Engineers typically have a wider skill set and work on more complex data architecture projects.

What are the most commonly searched types of Nifi Developer jobs in New York? The most popular types of Nifi Developer jobs in New York are:
What job categories do people searching Remote Nifi Developer jobs in New York look for? The top searched job categories for Remote Nifi Developer jobs in New York are:
What cities in New York are hiring for Remote Nifi Developer jobs? Cities in New York with the most Remote Nifi Developer job openings:

Forward Deployed AI Engineer (Senior/Principal Level)

Cloudera, Inc.

New York, NY • On-site, Remote

$198K - $247K/yr

Full-time

PTO

Posted 7 days ago


Job description

Business Area:
Corp. Strategy
Seniority Level:
Director
Job Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.
About Forward Deployed Engineering (FDE) at Cloudera
Cloudera's Forward Deployed Engineering (FDE) function sits within the Applied AI organization, and is a specialized AI/ML engineering team focused on accelerating AI adoption within our most strategic enterprise customers. We embed directly with customers to rapidly pilot AI use cases, solve real-world business challenges, and help operationalize advanced AI capabilities within enterprise environments.
Cloudera FDEs operate at the intersection of customer engineering, AI innovation, and enterprise deployment - driving high-impact AI outcomes for customers and codifying solution patterns for repeatable delivery at scale.
About the role
Cloudera is looking for a seasoned full-stack ML engineer who can embed with customers to design technical use cases, and ship scalable enterprise AI/ML solutions on Cloudera. As a Forward Deployed AI Engineer you will:
  • Build & Prototype AI Apps - Develop full-stack AI/ML applications on Cloudera to demonstrate how AI and agentic systems solve real enterprise use cases
  • Partner with Strategic Customers - Work directly with customer teams to drive AI and agentic use cases from early prototype toward production readiness
  • Shape Enterprise AI Architecture - Advise customer leaders on AI roadmaps, solution design, deployment, and AI use cases
  • Codify Solution Patterns - Standardize successful patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks
  • Multiply impact - Be a thought leader, mentor Cloudera teams, and contribute to resources that grow our AI capability. Channel field and customer signal back to Product teams to improve our AI platform and products

We are excited if you have:
  • 7+ years of experience building and deploying production-grade systems, including 2-4 years experience building ML systems or GenAI/agentic applications
  • Strong hands-on software engineering, data engineering, and applied AI/ML skills, with experience building full-stack ML applications or agentic systems using modern AI frameworks and tooling
  • Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows
  • Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management
  • Experience designing and implementing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance, etc.)
  • The ability to engage directly with customers, both technical and executive audiences - to translate needs into actionable technical strategy
  • High agency with the ability to operate autonomously and thrive in ambiguous, fast-moving customer environments
  • A collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling
  • Bsc/Msc/PhD in related field or equivalent experience

You may also have:
  • Experience with cloud technologies (AWS, Azure, GCP)
  • Experience using the Cloudera platform
  • Experience with open source big data technologies like Spark, Iceberg, NiFi, etc
  • Experience with AI infrastructure and runtime technologies including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads

The anticipated annual base salary range for this position is:
New York & California: $198,000-$247,500
Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.
This role is not eligible for immigration support or relocation.
What you can expect from us:
  • Generous PTO Policy
  • Support work life balance with Unplugged Days
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
  • Employee Resource Groups

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