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Junior Data Engineer Remote Jobs in Spring Valley, NY

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Mentor and develop junior team members, fostering a culture of excellence and continuous learning ... At least 6 years of experience in data engineering or a related discipline, with a proven track ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Tristero

Junior Software Engineer (Remote)

New York, NY · Remote

$80K - $130K/yr

Software Engineer - Tristero About the Position: We're on the lookout for clever, early stage software engineers. At Tristero we build high performance distributed systems, and our engineers play a ...

Mercor

Data Engineer - AI Coding Expert

New York, NY · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Gemini

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

As a Senior Data Engineer, you will contribute to architectural decisions, mentor junior engineers ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Talkspace

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

The Cypress Group

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... You'll work closely with software engineers, data scientists, quantitative analysts, and business ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

  • Retirement

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Navtech, Inc.

Elastic Search Engineer

Manhattan, NY · On-site +1

I have an opportunity for "ElasticSearch Engineer" _ REMOTE " and I am looking for a candidate who ... to ingest data and deploy and support elasticsearch, support existing code. Required Skills:

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

Fusemachines

Lead Data Scientist

New York, NY · Remote

$110K - $140K/yr

... data engineers to develop and implement data-driven solutions. * Assess the business needs of ... Mentor and develop the skills of junior data scientists and provide feedback and guidance to help ...

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All JobsData Engineer JobsJunior Data Engineer Remote JobsJunior Data Engineer Remote Jobs in Spring Valley, NY

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:

Junior Data Engineer Remote jobs near you
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.

Data Engineer

Carlyle

New York, NY • On-site, Remote

$150K - $200K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Job description

Position Summary
We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies.
Primary Responsibilities
  • Build, scale, and maintain robust data solutions to support the firm's objectives.
  • Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration - that are designed for scalability, reliability, maintainability, and speed.
  • Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies.
  • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments
  • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
  • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.
  • Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team.
  • Be willing to travel up to 20% of the time to collaborate with distributed team members across locations.

Requirements
Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics, STEM or other engineering related field, preferred

Professional Experience
  • At least 6 years of experience in data engineering or a related discipline, with a proven track record of success, required
  • Experience in the financial services or private equity industry, preferred

Competencies & Attributes
  • Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.
  • Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.
  • Experience with workflow orchestration tools e.g. Airflow, Temporal
  • Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases.
  • Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses.
  • Demonstrated experience in designing and implementing complex data systems from the ground up.
  • Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval.
  • Previous experience in a product development or financial services environment is highly desirable.
  • Excellent communication skills required, both verbal and written.

Benefits/Compensation
The compensation range for this role is specific to New York, NY and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $150,000 to $200,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
About Us:
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

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