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Remote Data Engineer Jobs in Newburgh, NY (NOW HIRING)

Pkaza

Senior Scheduler Data Centers

New Paltz, NY · Remote

Lead and mentor a team of remote consultants, supporting their development and optimizing workload ... Army - Power Generation, Corps of Engineers; Air Force - Power Production; Generator Techs;

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Newburgh, NY

Remote Data Engineer information

See Newburgh, NY salary details

$44.5K

$129.7K

$177.4K

How much do remote data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote data engineer in Newburgh, NY is $129,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,400.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Newburgh, NY? The most popular types of Data Engineer jobs in Newburgh, NY are:
What are popular job titles related to Remote Data Engineer jobs in Newburgh, NY? For Remote Data Engineer jobs in Newburgh, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Newburgh, NY look for? The top searched job categories for Remote Data Engineer jobs in Newburgh, NY are:
What cities near Newburgh, NY are hiring for Remote Data Engineer jobs? Cities near Newburgh, NY with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Newburgh, NY as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $129,662 per year, or $62.3 per hour.

Sales Engineer - AI & Agentic Sales Systems

WRS Health

Goshen, NY • Remote

Other

Posted 15 days ago

Job description

Company Overview

WRS Health is a leading cloud-based Electronic Health Record (EHR) and Revenue Cycle Management (RCM) company serving medical specialties across the United States. We are transforming healthcare technology by leveraging artificial intelligence, autonomous agents, and advanced analytics to automate sales, marketing, and clinical workflows.

We are seeking a highly technical Sales Engineer who can architect and build an AI-powered, agentic sales pipeline that drives scalable revenue growth. This is a hands-on engineering role for someone who enjoys designing intelligent systems that combine CRM automation, LLMs, cloud infrastructure, and data science.

Job Purpose

The Sales Engineer will design, implement, and optimize an end-to-end autonomous sales ecosystem using modern AI technologies. This individual will engineer intelligent sales agents capable of prospecting, qualifying, nurturing, and assisting sales representatives throughout the customer lifecycle.

The ideal candidate has a strong software engineering background, experience with Large Language Models (LLMs), cloud architecture, CRM automation, and data-driven decision making.

Key Responsibilities
  • Design and build an agentic AI sales pipeline capable of autonomous lead qualification, nurturing, and opportunity management.
  • Develop AI agents that collaborate to perform tasks such as:
    • Lead research
    • Prospect scoring
    • Personalized outreach
    • Follow-up automation
    • Meeting preparation
    • Proposal generation
    • CRM updates
  • Engineer integrations between HubSpot (or similar CRM), AI services, marketing platforms, and internal systems.
  • Build workflows utilizing modern orchestration frameworks and multi-agent architectures.
  • Design prompt engineering strategies and evaluation pipelines for production AI systems.
  • Implement cloud-native AI infrastructure using AWS.
  • Develop dashboards and analytics that measure funnel performance, AI effectiveness, conversion rates, and revenue attribution.
  • Work closely with Sales, Marketing, Product, and Executive leadership to optimize the entire revenue lifecycle.
  • Evaluate and integrate emerging AI technologies into the sales organization.
  • Continuously improve AI agents through experimentation, A/B testing, and performance monitoring.
QualificationsEducation
  • Bachelor's degree or higher in:
    • Engineering
    • Computer Science
    • Data Science
    • Artificial Intelligence
Required Experience
  • 5+ years building enterprise software or AI solutions
  • Experience designing agentic AI systems or multi-agent workflows
  • Proven success building automated sales or marketing systems
  • Experience with HubSpot CRM or comparable enterprise CRM platforms (Salesforce, Microsoft Dynamics, Zoho CRM, etc.)
  • Strong experience integrating APIs and SaaS platforms
  • Experience implementing AI-driven workflow automation
  • Strong understanding of modern sales operations and pipeline management 

Technical Skills:

Artificial Intelligence
  • Experience with modern Large Language Models including:
    • OpenAI
    • Anthropic Claude
    • Google Gemini
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • AI evaluation and testing
  • AI orchestration frameworks 
  • Agent memory and planning architectures
Cloud & Infrastructure
  • AWS, Serverless architecture, API Gateway
Programming
  • Python, JavaScript, TypeScript, SQL, REST APIs, Git, and CI/CD pipelines
Data & Analytics
  • Data modeling
  • Predictive analytics
  • Lead scoring
  • Business intelligence
  • Dashboard development
  • Marketing attribution
  • Sales forecasting
CRM & Automation
  • HubSpot
  • CRM workflow automation
  • Marketing automation
  • Customer segmentation
Preferred Qualifications
  • Experience in healthcare technology, EHR, SaaS, or Revenue Cycle Management
  • Experience building AI copilots or autonomous business agents
  • Familiarity with vector databases and semantic search
  • Knowledge of healthcare interoperability standards and APIs
  • Experience integrating conversational AI into customer engagement workflows
  • Understanding of MLOps and production AI deployment
What Success Looks Like

Within the first 12 months, you will:

  • Build an autonomous AI-powered sales pipeline
  • Deploy intelligent agents that automate repetitive sales tasks
  • Increase qualified lead generation through AI-driven prospecting
  • Improve CRM data quality and automation
  • Reduce manual sales operations through intelligent workflows
  • Deliver measurable improvements in pipeline velocity, conversion rates, and revenue growth
Ideal Candidate

You are an engineer first and a problem solver at heart. You enjoy building intelligent systems that automate complex business processes and are excited by the opportunity to transform traditional sales organizations into AI-powered revenue engines. You thrive in a fast-paced environment where experimentation, innovation, and measurable results drive success.

 Additional Details
  • Job Type: Full-time
  • Location: US | Remote/Onsite/Hybrid
  • Hours: Must be available during standard US business hours (9:00 AM – 5:00 PM EST or 8:30 AM – 4:30 PM EST)

This job description outlines the general responsibilities of the role and is not exhaustive. Additional duties may be assigned as needed to support business operations.

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