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

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;

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 13, 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.

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:

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.

Senior Python Engineer (On-site or Remote)

HowGood

Stone Ridge, NY • On-site, Remote

$130K - $185K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


Job description

About HowGood
HowGood is an independent research company with the world's largest database on product sustainability. With more than 33,000 ingredients, chemicals, and materials assessed, HowGood SaaS and impact data offerings help leading brands, retailers and investors improve their environmental and social impact. Through in-depth, ingredient-level insights into factors ranging from greenhouse gas emissions to animal welfare to labor risk, HowGood data powers strategic decision-making for the sourcing, manufacturing, merchandising, and marketing of sustainable products.
HowGood was founded with the belief that good information enables good decisions. By illuminating the complex systems that affect our environment, we push organizations to make sustainable products. HowGood is committed to catalyzing change in the food industry, to help create a resilient ecosystem for us and future generations.
The Engineering Team
The engineering team is at the center of operations at HowGood. We build the applications used by our Fortune 500 customers to make critical decisions, and the tools our Research Team uses to work with large pools of data. The work we do enables customers to see the entire universe of sourcing choices and understand their impact within a greater system.
Our team is currently building and evolving our core features in three key directions. We are expanding the capacity and subject matter of our data ingestion to show change over time in carbon emissions, biodiversity impact, working conditions, and other metrics. We are also enhancing our reporting on sustainability performance, for things like evaluating regulatory compliance globally. Finally, we are building the platform used by suppliers to integrate their inventories into our platform.
Sustainability experience is not required to be successful here - we look for smart, ideologically motivated, empathetic engineers who love solving problems and are determined to make an impact in line with our mission. While working on a team of like minded engineers, you will have complete ownership of the solutions and architectural designs that keep HowGood nimble.
The applications and infrastructure that we build requires the ability to seamlessly handle huge amounts of data quickly and reliably, to put our customers on a regenerative path. Our impact on the world depends on it.
Responsibilities
  • Work with the Research and Product teams to implement and design new features, such as metric calculations or better ways of storing/presenting data
  • Own the architecture, implementation, and delivery of features from concept to deployment
  • Test and document your work, along with the standards and conventions agreed upon by the team
  • Help the team grow and improve team culture by putting forward your ideas

Requirements
  • Ability to communicate their opinions to the team, as well as with senior management
  • 5+ years experience with Python
  • 3+ years experience with Django
  • Passionate about code readability, docs, and testing as priority, ahead of optimization
  • Experience building REST APIs
  • Experience with PostgreSQL or another relational database
  • Familiarity with Git and Docker

Our Stack
  • Python/Django
  • Docker
  • PostgreSQL
  • Elasticsearch
  • Redis
  • Kafka
  • AWS

Why work at HowGood?
  • Salary range $130,000-$185,000 (salary commensurate with experience)
  • Health insurance + Vision & Dental
  • 401k with company match
  • Unlimited PTO (that we actually want you to use!)
  • Paid parental leave
  • Work remotely, or from our upstate NY office, or hybrid401k with company match

$130,000 - $185,000 a year
HowGood has the world's largest sustainability database and has recently completed the build for a new data model that allows for unprecedented flexibility in building metrics that help decision makers the world over understand the impact of their choices. Whether we are supporting NGO's, business leads, product developers or individual shoppers, we help people understand the impact of their choices. Our model allows us to build metrics for measuring the impact of externalized costs faster and better than ever before.
Applicants for this role should be excited to participate in creating new understandings, supporting better decision making and helping to change the world.
Competitive benefits package available, with salary commensurate with qualifications and experience.
Special Application Instructions
In addition to applying through Lever, submit your application programmatically by sending a signed POST request to our API. Visit the instructions page for the endpoint, payload schema, signing key, and a working Python example:
https://howgood-apply-api.howgood.workers.dev/how-to/
This is part of the evaluation. It demonstrates that you can read documentation and write working integration code.
HowGood is an Equal Opportunity Employer. We aim to employ people who reflect the diverse nature of society and encourage candidates from all backgrounds to apply. We seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.