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Remote Data Engineering Jobs in New Rochelle, NY

Data Engineer

Secaucus, NJ ยท Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Data Engineer

New York, NY ยท On-site +1

$105K - $145K/yr

You will work alongside the Director of Data Engineering to build, optimize, and scale our data infrastructure, supporting the development of data-driven products and insights that power our ...

Data Engineer

New York, NY ยท Remote

$125K - $150K/yr

Support data engineering execution across complex application development initiatives, ensuring ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

GCP Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Lead technical decision-making, establish engineering best practices, and ensure data quality, performance, and reliability across the platform. * Mentor and support junior and mid-level data ...

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Sales Engineer (Remote)

Brooklyn, NY ยท On-site +1

$100K - $130K/yr

... Data Officers * Feed product and engineering the signal from the field - what's winning, what ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

Sales Engineer (Remote)

New York, NY ยท Remote

$100K - $130K/yr

... Data Officers * Feed product and engineering the signal from the field - what's winning, what ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

Sr. Staff Data Engineer

New York, NY ยท On-site +1

$116K - $157K/yr

Your focus is on driving innovation, best practices, engineering / delivery acceleration, platform ... Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Data Engineer McLean, VA ...

The team is fully remote. This is an individual contributor role with no direct reports. You'll report to our Chief Information & Security Officer (CISO) and work closely with Data Engineering and ...

Sr AI Data Engineer

Brooklyn, NY ยท On-site +1

$50 - $80/hr

... Engineering | Data Engineering This is a remote position. Compensation: $50.00 - $80.00 per hour Who We Are High Bridge is a bottom-up consulting firm with more than two decades of experience ...

Data Engineer

Manhattan, NY ยท Remote

$105K - $115K/yr

Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference. * MLOps Integration: Collaborate with Data Scientists to implement ...

Software development experience in languages and tools used in data engineering (Python, SQL ... Flexible work arrangements as a "remote-first" company

Software development experience in languages and tools used in data engineering (Python, SQL ... Flexible work arrangements as a "remote-first" company

Showing results 41-60

Remote Data Engineering information

See New Rochelle, NY salary details

$45.8K

$133.5K

$182.7K

How much do remote data engineering jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data engineering in New Rochelle, NY is $133,486.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,800.00 and $141,500.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in New Rochelle, NY?

The most popular types of Data Engineering jobs in New Rochelle, NY are:

What are popular job titles related to Remote Data Engineering jobs in New Rochelle, NY?

For Remote Data Engineering jobs in New Rochelle, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in New Rochelle, NY look for?

The top searched job categories for Remote Data Engineering jobs in New Rochelle, NY are:

What cities near New Rochelle, NY are hiring for Remote Data Engineering jobs?

Cities near New Rochelle, NY with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in New Rochelle, NY as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $133,486 per year, or $64.2 per hour.

Data Engineer

Noblesoft Technologies

Secaucus, NJ โ€ข Remote

$117K - $140K/yr

Contractor

Re-posted 21 days ago


Job description

Job Role - Data Engineer
Location -  Secaucus, NJ(Remote)
Job Details: 

We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS
Required Qualifications:
Bachelor’s degree in computer science, Engineering, Information Technology, or a related field.
5+ years of experience as a Data Engineer or in a similar role.
Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).
Good to have hands on programming languages like Python.
Strong understanding of Matillion ETL tool and processes.
Experience with data modeling and data architecture design.