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Remote Cloud Data Engineer Jobs in New York (NOW HIRING)

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

SysMind is seeking an experienced cloud data engineer to join our team. This position will be ... This role will be remote without any travel required. The ideal candidate will be available during ...

Cloudacio

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to ... We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Familiarity with cloud-based data platforms, particularly AWS. Responsibilities : * Integrate into ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). Good to have hands on programming ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). Good to have hands on programming ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Integrate data from various sources (APIs, databases, cloud storage, etc.) into a centralized data ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Splice

Data Engineer II (Remote US)

New York, NY · Remote

$125K - $150K/yr

REMOTE- US THE ROLE: We're looking for a Data Engineer II to join Splice's Data Engineering team ... Production experience with a cloud data warehouse (we use BigQuery); understands partitioning ...

New

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Data Engineer II Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration ... Experience working in cloud environments (AWS preferred, GCS, Azure) * Experience managing complex ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

... cloud data platforms to drive business intelligence initiatives. We are currently hiring for two ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

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Remote Cloud Data Engineer information

What is a remote cloud data engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

How does a remote cloud data engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

What are the most commonly searched types of Cloud Data Engineer jobs in New York?

The most popular types of Cloud Data Engineer jobs in New York are:

What are popular job titles related to Remote Cloud Data Engineer jobs in New York?

For Remote Cloud Data Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Cloud Data Engineer jobs in New York look for?

The top searched job categories for Remote Cloud Data Engineer jobs in New York are:

What cities in New York are hiring for Remote Cloud Data Engineer jobs?

Cities in New York with the most Remote Cloud Data Engineer job openings:

Remote Cloud Data Engineer jobs near you
Infographic showing various Remote Cloud Data Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior Cloud Data Engineer

SysMind Tech

Manhattan, NY • On-site, Remote

$116K - $158K/yr

Full-time

Re-posted 21 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

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