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Remote Aws Data Engineer Jobs in Hackensack, NJ (NOW HIRING)

Data Engineer

New York, NY ยท Remote

$140K - $180K/yr

Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production ... Remote Fridays * Happy Hours and other local events Compensation Range: $140K - $180K

Data Engineer

New York, NY ยท On-site +1

$140K - $180K/yr

Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production ... Remote Fridays * Happy Hours and other local events

AI Data Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Lead Data Engineer

New York, NY ยท Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... Design and architect scalable data platform solutions using AWS and modern open-source data ...

AI Data Engineer

New York, NY ยท Remote

$117K - $140K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Data Engineer

Manhattan, NY ยท Remote

$140K - $190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Deploy, operate, and improve data pipelines and data stores on major cloud platforms such as AWS ...

Senior Data Engineer

New York, NY ยท On-site +1

$146K - $180K/yr

Proficiency in Infrastructure as Code tool AWS CDK for managing cloud infrastructure and automating ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Data Engineer

Manhattan, NY ยท On-site +1

$110K - $140K/yr

Data Engineer LOCATION: Hybrid in New York City SALARY : $110,000 - $140,000 The Role: We are ... Kafka(preferred), PostgreSQL or similar relational database, AWS or similar cloud service ...

Data Engineer

New York, NY ยท On-site +1

$105K - $145K/yr

Hands-on experience with cloud platforms (AWS, GCP, or Azure), data warehouses (BigQuery, Redshift, Snowflake), and distributed processing (Spark, Airflow, or similar). * Experience working data ...

Senior Data Engineer

New York, NY ยท On-site +1

$116K - $157K/yr

... Apache Airflow, AWS Glue, Azure Data Factory). * 7 years of experience defining system ... Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or ...

Data Engineer

New York, NY ยท Remote

$160K - $190K/yr

As a Data Engineer at Regard, you will help build and maintain the data pipelines and ... Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or Metabase * Experience ...

Senior Big Data Engineer

New York, NY ยท On-site +1

$170K - $180K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Experience with cloud platforms (AWS). * Familiarity with CI/CD pipelines and DevOps practices. Our ...

Lead Data Engineer

Manhattan, NY ยท Remote

$220K - $260K/yr

This is a fully remote position that offers a competitive salary range of $220,000 to $260,000 USD ... Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure * Advanced ...

Showing results 21-40

Remote Aws Data Engineer information

See Hackensack, NJ salary details

$48.5K

$141.5K

$193.6K

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

As of Aug 12, 2026, the average yearly pay for remote aws data engineer in Hackensack, NJ is $141,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a remote AWS data engineer?

A Remote AWS Data Engineer is a professional who designs, builds, and maintains data pipelines and architectures using Amazon Web Services (AWS) infrastructure, while working remotely. They are responsible for tasks such as data ingestion, transformation, storage, and ensuring data quality and security. AWS Data Engineers often work with services like Amazon S3, Redshift, Glue, Lambda, and EMR to enable scalable and efficient data processing. Their role is crucial in helping organizations manage and analyze large datasets in the cloud. Working remotely allows them to collaborate with teams from different locations using online tools and platforms.

What is the difference between Remote Aws Data Engineer vs Remote Cloud Data Engineer?

AspectRemote Aws Data EngineerRemote Cloud Data Engineer
CertificationsAWS Certified Data Analytics, AWS Certified Data Analytics - SpecialtyCloud certifications (AWS, Azure, GCP), relevant data certifications
Work EnvironmentPrimarily AWS cloud platform, data pipelines, ETL processesMultiple cloud platforms, data integration across services
Industry UsageTech, finance, healthcare using AWS infrastructureVaries across industries using multiple cloud providers
Search & Comparison IntentHigh overlap in skills, AWS-specific toolsBroader cloud skills, multi-platform focus

The Remote Aws Data Engineer specializes in AWS cloud services, focusing on data pipelines and analytics within the AWS ecosystem. In contrast, the Remote Cloud Data Engineer works across multiple cloud platforms, requiring broader cloud skills. Both roles involve data engineering but differ in platform expertise and certifications.

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

As a remote AWS Data Engineer, you'll often work closely with data scientists, analysts, and software engineers to design and maintain scalable data pipelines in the cloud. Collaboration usually happens through virtual meetings, cloud-based project management tools, and shared documentation platforms. Clear communication and proactive updates are essential to ensure everyone stays aligned, especially when troubleshooting data issues or implementing new features. Building strong working relationships remotely can be challenging, but most organizations support this with regular check-ins and team collaboration channels.

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

To thrive as a Remote AWS Data Engineer, you need strong expertise in data engineering concepts, programming (such as Python or Scala), and experience with AWS cloud services like S3, Redshift, and Glue, typically supported by a relevant degree or AWS certification. Proficiency with ETL tools, data pipeline frameworks (e.g., Apache Airflow), and AWS-specific technologies is essential. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project delivery. These capabilities ensure scalable, secure, and efficient data solutions in distributed, cloud-based environments.
What are popular job titles related to Remote Aws Data Engineer jobs in Hackensack, NJ? For Remote Aws Data Engineer jobs in Hackensack, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Aws Data Engineer jobs in Hackensack, NJ look for? The top searched job categories for Remote Aws Data Engineer jobs in Hackensack, NJ are:
What cities near Hackensack, NJ are hiring for Remote Aws Data Engineer jobs? Cities near Hackensack, NJ with the most Remote Aws Data Engineer job openings:
Infographic showing various Remote Aws Data Engineer job openings in Hackensack, NJ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,475 per year, or $68 per hour.

Data Engineer

Reality Defender

New York, NY โ€ข Remote

$140K - $180K/yr

Full-time

Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Who we are.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time.

Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes.

Youtube: Reality Defender Wins RSA Most Innovative Startup

The Data Engineer Role.

We're looking for a Data Engineer who can build and scale the infrastructure powering our data platform, with a strong foundation in distributed systems and cloud-native tooling. You'll design and operate the pipelines that move, process, and prepare multi-terabyte and streaming datasets — including audio and video — for Reality Defender's detection models, and you'll work closely with ML engineers and researchers to keep that data flowing reliably at scale. Responsibilities include:

  • Design, build, and operate large-scale data processing pipelines handling multi-terabyte and streaming datasets, including audio/video transcoding, feature extraction, and preprocessing workflows.

  • Deploy, scale, and troubleshoot containerized workloads on Kubernetes and AWS in production environments.

  • Build and maintain distributed data processing jobs using frameworks such as Spark and Ray.

  • Design and operate workflow orchestration systems (e.g., Airflow) with dependency management, retries, monitoring, and alerting for production pipelines.

  • Administer and tune enterprise databases, including performance tuning, backup/recovery, access control, and scaling strategies.

  • Partner with ML engineers and researchers to support training pipelines, model retraining triggers, feature stores, and other MLOps workflows.

Who you are.
  • Hands-on experience with Kubernetes and AWS, including deploying, scaling, and troubleshooting containerized workloads in production environments.

  • Proficiency with high-performance/distributed computing frameworks such as Spark and Ray for processing large-scale datasets.

  • Experience with workflow orchestration tools such as Airflow (or comparable systems like Dagster, Prefect, or Luigi) to schedule and manage complex data pipelines.

  • Strong programming skills in Python and SQL; experience with Golang is a plus.

  • Demonstrated track record building and operating large-scale data processing pipelines, ideally handling multi-terabyte or streaming datasets.

  • Experience working with audio or video data at scale is a strong plus (e.g., transcoding, feature extraction, or preprocessing pipelines).

  • Familiarity with common data transformation patterns applied to large datasets (ETL/ELT, batch and stream processing, data validation and quality checks).

  • Experience designing and maintaining job orchestration systems, including dependency management, retries, monitoring, and alerting for production pipelines.

  • Bonus: experience orchestrating machine learning workflows (training pipelines, model retraining triggers, feature stores, or MLOps tooling).

What we offer.

Reality Defender offers the following benefits to all our employees, regardless of location:

  • Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents

  • Dental and Vision plans with 100% premium coverage for employees and their dependents

  • Short/Long-term disability and life insurance plans with 100% premium coverage for employees

  • FSA/HSA and 401k programs

  • Equity compensation

  • 20 days of PTO per year

  • 12 weeks of Parental Leave

  • Learning and Development budget

  • Monthly wellness benefits

  • Annual company-sponsored offsite

For employees working from Reality Defender’s HQ in NYC, we offer the following benefits:

  • Daily in-office lunch through UberEats

  • Commuter benefits

  • Remote Fridays

  • Happy Hours and other local events

Compensation Range: $140K - $180K