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Hourly Remote Big Data Engineer Jobs (NOW HIRING)

Data Engineer with GCP

$117K - $140K/yr

Experience working in GCP based Big Data deployments (Batch/Real-Time)Leveraging Big Query,Fusion, Dataflow, Dataproc, etc. * Demonstrated mastery in Google BigQuery * Strong knowledge on Google ...

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone ... Skill Sets * Sr. big data engineer with advance Java experience to join our modernization ...

Senior Data Engineer

$108K - $147K/yr

In addition, the Data Engineer contributes to data and software solutions that leverage big data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

New

Data Engineer

$117K - $140K/yr

... big data processing. Qualifications * Bachelor's or Master's degree in Computer Science, Data ... Jacksonville, FL (Town Center Area) or Remote * Type: Full-time * Reports to: Director of ...

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

AZURE DATA ENGINEER (REMOTE) ARC Group has an immediate opportunity for an aspiring Azure / Cloud ... to 4 years of designing Big Data Pipelines supporting Data Science Use Cases. * Practical ...

Engineering Manager, Big Data

Austin, TX · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Showing results 41-60

Hourly Remote Big Data Engineer information

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$15

$62

$88

How much do hourly remote big data engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for hourly remote big data engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is the difference between Hourly Remote Big Data Engineer vs Data Analyst?

AspectHourly Remote Big Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, technical teams, cloud platformsRemote or on-site, business teams, data visualization tools
Employer & Industry UsageTech, finance, healthcare, large data-driven companiesMarketing, retail, finance, business intelligence

Hourly Remote Big Data Engineers focus on building and maintaining data pipelines, working with large-scale data systems, and ensuring data infrastructure efficiency. Data Analysts interpret data, create reports, and support decision-making. While both roles work remotely and require data-related skills, Big Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and visualization.

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Infographic showing various Hourly Remote Big Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,001 per year, or $63 per hour.

Data Engineer III - Digital and Technology Partners - Hybrid/Remote

Mount Sinai Hospital

Manhattan, NY • On-site, Remote

$109K - $163K/yr

Full-time

Posted 8 days ago


Mount Sinai rating

7.7

Company rating: 7.7 out of 10

Based on 296 frontline employees who took The Breakroom Quiz

160th of 891 rated healthcare providers


Job description


This position is hybrid/remote, occasional onsite and may require onsite interviews in NY.
Location: 150 E 42nd Street, New York, NY
The Senior Data Engineer is an experienced technician who is responsible for data collection, movement, storage, transformation processing, and storage of Big Data. This individual works with both current ETL/Data Warehousing and future Big Data/Streaming/Pipeline architectures. The focus is on choosing optimal solutions to use for these purposes, then implementing, maintaining, and monitoring them, always being mindful of the overarching goal of accelerating translational research and improving clinical care.
Responsibilities
  • Facilitates data collection from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that downstream users can get that data quickly and with a common standard interface.
  • Ensures that data streams/pipelines are scalable, repeatable, and secure, and can serve multiple users within the Institute.
  • Develops as a core member of an Agile team, using Agile tools and methodology. Work closely with other team members including Application Developers, Database Developers, and Data Scientists.
  • Responsible for creating the infrastructure that provides insight from raw data and handles diverse sources of data seamlessly.
  • Enables big data and batch/real-time analytical solutions that leverage emerging technologies.
  • Additional responsibilities include developing prototypes and proof of concepts for the selected solutions, and implementing complex big data projects with a focus on collecting, parsing, and managing large sets of data using multiple platforms to allow for Research and Data Science initiatives.
  • Translates business requirements into modern data pipeline solutions. Create centralized documents and diagrams of all solutions.
  • Creates a data catalog store of all metadata.
  • Designs and implements monitoring, backup, and disaster recovery of data systems.
  • Approaches all relationships with a world-class customer service approach. Maintains a customer-focused approach with users to provide solutions that are science/research-driven.
  • Responsible for the integrity and security of data in all forms of storage throughout the Data Architecture.
  • Works with other IT professionals through Mount Sinai effectively. Comply with the Institutional Review Board and HIPAA to follow all applicable policies and procedures.
  • Assists in the development of standards and procedures affecting data management, design and maintenance. Documents all standards and procedures.
  • Provides presentations and training to other team members in the above.
  • Possesses an extremely flexible attitude. Willing to work with multiple types of technologies and languages with an open mind and without technology bias. Continuous interest in updating skill sets and knowledge of trends in the Big Data Technology space.
  • Trains, mentors and offers input into hire/fire/performance on more junior Data Engineers.
  • Other duties as assigned.

Qualifications
  • Bachelor's degree in Computer Science or a related discipline; Advanced degree preferred.
  • 5+ years relevant professional development experience, preferably in a Data Engineering role.
  • In depth knowledge of the Azure cloud platform including Azure Data Factory and Databricks.
  • Strong SQL and NoSQL Database Knowledge: Oracle, PostgreSQL/MYSQL, and Mongo DB (or similar).
  • Proficiency with at least 2 programming languages among Scala/Python/ Java. Must be flexible and fast to pick up new languages.
  • Proficiency in Restful service development, preferably with Node JS, Django and PHP.
  • Experience with micro-services and SOA.
  • Strong SQL and NoSQL Database Knowledge: Oracle, PostgreSQL/MYSQL, and Mongo DB (or similar).
  • Proficiency on installation and configuration of big data software and technology
  • Knowledge of Hadoop, Spark, Kafka and other big data technology stacks and streaming tools.
  • Knowledge of healthcare data, HL7, and Mirth are also a big plus.
  • Experience with CI/CD and Observability tools. Also, experience with version control (Git).
  • Familiarity with and the ability to leverage a wide variety of open source technologies and tools.
  • Working knowledge of cloud architecture and implementation on Azure or AWS, is a big plus. Experience with serverless computing, creating VMs, cloud security, and other cloud services is also a big plus.
  • Experience working in an Agile methodology. Experience working with JIRA is a plus.

Compensation Statement
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $109,000.00 - $163,695.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.
Non-Bargaining Unit, 223 - DTP Enterprise Data & Analytics - MSH, Mount Sinai Hospital
About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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