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Remote Data Engineer Jobs in Bridgewater, NJ (NOW HIRING)

Data Engineer II

New York, NY · Remote

$120K - $140K/yr

The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales ...

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

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) * Design and implement efficient data handling system based of Java and Spark tech stack. * Perform and ...

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

What you will bring * 2+ years in data engineering or analytics engineering with proven ability to ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data ... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well ...

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity. In this role, you will be ...

Head of Data Engineering

New York, NY · Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating ... Strong communication skills and ability to work in a remote, collaborative environment.

Data & AI Engineer

New York, NY · Remote

$100K - $125K/yr

Headquartered in the heart of New York City, we also welcome remote employees across the United ... We're looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses ...

Showing results 41-60

Remote Data Engineer information

See Bridgewater, NJ salary details

$45.5K

$132.6K

$181.4K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Bridgewater, NJ is $132,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,000.00 and $140,600.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

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

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Bridgewater, NJ?

The most popular types of Data Engineer jobs in Bridgewater, NJ are:

What are popular job titles related to Remote Data Engineer jobs in Bridgewater, NJ?

For Remote Data Engineer jobs in Bridgewater, NJ, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Bridgewater, NJ look for?

The top searched job categories for Remote Data Engineer jobs in Bridgewater, NJ are:

What cities near Bridgewater, NJ are hiring for Remote Data Engineer jobs?

Cities near Bridgewater, NJ with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Bridgewater, NJ as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $132,600 per year, or $63.8 per hour.

Data Engineer II

DailyPay

New York, NY • Remote

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

About Us:
DailyPay is the leader in On-Demand Pay, helping employers modernize how people get their pay. DailyPay serves more than 1,900 employers and over 6 million employees, including many of the world's most recognized brands. By providing real-time access to earned pay and financial wellness tools, DailyPay helps employees manage their finances and helps employers attract and retain talent. DailyPay is helping define the future of pay, where money moves at the speed of work.. Learn more at DailyPay's Press Center.

The Role:

DailyPay is looking for a Data Engineer II to join our Data Engineering Team. The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales, marketing, operations, engineering, etc.) as well as by DailyPay partner companies. The team also ingests internal and external data to help provide insights about the payroll industry in general, as well as about personal finance and financial wellbeing.

 
How You Will Make an Impact:
  • Build and maintain company’s ETL and data pipelines

  • Design and implement data testing and scaling capabilities

  • Maintain and optimize monitoring and alerting for company’s ETL and data pipelines, data warehouse, and analytics infrastructure

  • Optimize database performance while reducing warehouse costs and development times

  • Participate in code approvals and PR review process for company-wide analytics engineering efforts

  • Produce, support and maintain data reports, analytics, metrics and dashboards for internal and external use

     
What You Bring to The Team:
  • 4+ years SQL experience; expert SQL capability

  • Interest in utilizing AI to develop more efficient systems, improve proactive alerting, and optimize query performance

  • Experience in data storage architectures, including dimensional models, data lakes, data lakehouses, and data warehouses

  • Experience working in an event-driven architecture and cloud platforms (e.g. AWS, Azure, GCP)

  • Experience working with large volumes of data, making models performant and scalable

  • Familiarity with BI tools (e.g Tableau, Looker, or similar)

  • Excellent presentation and communication skills

  • Experience with MPP data warehouses, such as Snowflake or BigQuery.

  • Familiarity with ETL tools, such as Fivetran or Stitch

  • Ability to reverse-engineer legacy reports and rebuild them into structured, automated solutions

  • Excellent skills in explaining technical data concepts to non-technical finance and operations partners

 

Nice to Haves:

  • Familiarity with Python, Go, or similar languages for custom data processing and automation

  • 1+ years of experience with dbt (Data Build Tool), including implementing data quality checks and testing frameworks

  • Experience working with financial/accounting data or platforms such as NetSuite, Sage, or similar ERP systems

  • Experience with CI/CD, automated releases, and orchestration tools like Airflow

  • Familiarity with reverse ETL tools (e.g., Hightouch or Census) to push data from the warehouse into business applications

     
What We Offer:
  • Exceptional health, vision, and dental care

  • Opportunity for equity ownership

  • Life and AD&D, short- and long-term disability

  • Employee Assistance Program

  • Employee Resource Groups

  • Fun company outings and events

  • Unlimited PTO

  • 401K with company match

High-performing cultures aren't built in silos, they thrive on partnership. At DailyPay, we Commit Together to an inclusive, professional environment where multifaceted perspectives are our greatest competitive advantage. We recognize that our team members don’t live “single-issue lives,” and we lean into the wide-ranging backgrounds and life stages that sharpen our collective decision-making.

In our high-trust environment, we empower you to Challenge Norms. We’ve created a space where it is safe to ask difficult questions, disrupt the status quo, and share bold perspectives without fear of professional fallout. We believe that by checking our own assumptions and staying curious about the experiences of others, we arrive at better, more innovative results.

We provide the space for you to do your best work through peer advocacy and transparent career development. If you are looking for a culture that values intellectual honesty, celebrates the unique lived experiences of its people, and thrives on collective success, you’ll find it here.

If you require reasonable accommodation for any aspect of the recruitment process, please send a request to peopleops@dailypay.com. All requests for accommodation will be addressed as confidentially as practicable.

DailyPay is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.

Compensation Range: $120K - $140K