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Junior Data Engineer Remote Jobs in Spring Valley, NY

Senior Cloud Data Engineer

Manhattan, NY ยท On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Data engineering certification (MS Certified Data Engineer) is a plus * Advanced working SQL ...

Senior Software Engineer - Remote

New York, NY ยท Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

Senior Data Engineer | Emerging Products

New York, NY ยท On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Healthcare Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Comfort working with remote team members located in the US, India, or other geographies.

Senior Data Engineer | Emerging Products

New York, NY ยท On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Data Analyst - Automotive

New York, NY ยท Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Software Engineer Remote (Web3)

New York, NY ยท Remote

$200K - $250K/yr

  • Medical

  • Retirement

  • PTO

... engineers to join them. This is a remote position for any US-based candidate. Our client ... on the swift data flow within the blockchain distribution network, ensuring the creation of ...

... engineering, and risk to align Data Science work with broader strategy. * Mentor and grow the team by developing junior data scientists, fostering a culture of analytical rigor and psychological ...

AVP, AI (Data Science/Engineer) Remote - EST

New York, NY ยท Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or ...

Software Engineer (Remote)

New York, NY ยท Remote

  • Medical

  • Retirement

ArcSpan's enterprise technology product suite and AI-powered data solutions drive on-site and off ... The Engineer will work closely across ArcSpan's engineering, data science and product development ...

Lead Data Scientist

New York, NY ยท On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... junior Data Scientists. Lead projects as needed or required - (10%) Minimum Qualifications ... Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ...

Showing results 41-60

Junior Data Engineer Remote information

See Spring Valley, NY salary details

$33.9K

$72.8K

$111K

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

As of Aug 17, 2026, the average yearly pay for junior data engineer remote in Spring Valley, NY is $72,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $81,100.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

Junior Data Engineers (Remote) are entry-level professionals who assist in designing, building, and maintaining data pipelines and databases, typically while working from a remote location. They handle tasks like data cleaning, processing, and integration, usually under the supervision of senior data engineers or data architects. Their work supports analytics, reporting, and data science efforts within an organization, and they often use tools such as SQL, Python, and cloud platforms. Remote roles require strong communication and collaboration skills, as well as the ability to work independently.

How does a junior data engineer typically collaborate with more experienced team members in a remote setting?

As a Junior Data Engineer working remotely, you'll often collaborate with senior engineers and data scientists through virtual meetings, code reviews, and shared documentation platforms. You'll likely participate in stand-up meetings, pair programming sessions, and receive feedback on your work via online tools like GitHub or Jira. This collaborative environment helps you learn best practices, troubleshoot issues, and contribute to projects, all while building your skills under the guidance of more experienced team members.

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

To thrive as a Junior Data Engineer (Remote), you need a solid grasp of SQL, Python or other programming languages, and a relevant degree in computer science or a related field. Familiarity with data warehousing tools, cloud platforms like AWS or Azure, and ETL frameworks is typically expected. Strong problem-solving skills, attention to detail, and effective remote communication help you excel in collaborative, distributed teams. These competencies are crucial for building reliable data pipelines and ensuring seamless data flow in a remote work environment.

What are popular job titles related to Junior Data Engineer Remote jobs in Spring Valley, NY?

For Junior Data Engineer Remote jobs in Spring Valley, NY, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer Remote jobs in Spring Valley, NY look for?

The top searched job categories for Junior Data Engineer Remote jobs in Spring Valley, NY are:

What cities near Spring Valley, NY are hiring for Junior Data Engineer Remote jobs?

Cities near Spring Valley, NY with the most Junior Data Engineer Remote job openings:

Infographic showing various Junior Data Engineer Remote job openings in Spring Valley, NY as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $72,756 per year, or $35 per hour.

Senior Cloud Data Engineer

SysMind Tech

Manhattan, NY โ€ข On-site, Remote

$116K - $158K/yr

Full-time

Re-posted 15 days ago


Job description

SysMind is seeking an experienced cloud data engineer to join our team. This position will be mainly tasked with transforming data into useful data systems by developing, maintaining and testing infrastructures for data generation and aligning those data systems with business goals. This position is responsible for bridging the gap between raw data and actionable insights, making them a crucial asset in data-driven decision-making.
This role will be responsible for expanding and optimizing data architectures as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. This position will support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing data architectures to support the next generation of products and data initiatives.
This role will be responsible for ensuring that data flows smoothly from its source to its destination efficiently and securely and will be responsible for ensuring the accuracy of data, promoting data quality, and transforming data into more useful formats.
The ideal candidate should have strong analytical skills and the ability to combine data from different sources as well as strong familiarity with several programming languages and learning machine methods.
Prior experience with large international airports and other transportation data is considered an asset.
This role will be remote without any travel required. The ideal candidate will be available during the US Eastern Time Zone working hours from Monday - Friday.
Job Responsibilities
  • Assemble large, complex sets of data that meet non-functional and functional business requirements
  • Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  • Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure Cloud technologies
  • Create and maintain optimal data pipeline architecture
  • Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  • Work with stakeholders including data, design, product and executive teams and assist them with data-related technical issues
  • Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects

Required Technical Qualifications & Skills
  • Minimum of 10 years experience with Azure Cloud
  • Minimum of 10 years experience with the following technologies: ADF, ADLS, Synapse, Data Warehouse (dedicated pool), knowledge of MS Fabric, ML - Python
  • Previous experience of ten or more years as a data engineer or in a similar role
  • Technical expertise with data models, data mining, and segmentation techniques
  • Knowledge of programming languages (e.g. Java and Python)
  • Hands-on experience with SQL database design
  • Great numerical and analytical skills
  • Bachelor's degree in Computer Science, Information Systems or similar field (Master's degree is a plus)
  • Data engineering certification (MS Certified Data Engineer) is a plus
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing 'big data' data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment

Soft Skills Requirements
  • Excellent communication skills to collaborate with data scientists, analysts, and business stakeholders
  • Self-directed work style with ability to architect solutions independently
  • Adaptability to work with evolving data requirements and emerging web technologies