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Asynchronous Remote Jobs Data Engineer Jobs (NOW HIRING)

Data Engineer

$117K - $140K/yr

Data Engineer (Remote - Federal Contract Opportunity) We are seeking a Data Engineer to support U.S. Federal clients in designing, building, and maintaining scalable data solutions. This role focuses ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Secaucus, NJ · 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

Secaucus, NJ · 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 - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

URGENT NEED - Data Engineer ___ REMOTE

$117K - $140K/yr

I have an opportunity for " Data Engineer ___ REMOTE" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer ...

Data Engineer

$105K - $120K/yr

Data Engineer Remote/ Occasional Onsite in DC area | NCR Support as Required | Secret with TS Eligible If you want to apply enterprise data engineering expertise to support a varied portfolio of ...

Data Engineer

$117K - $140K/yr

Most of our positions are remote, providing flexibility while working on impactful federal projects. Key Skills amp; Qualifications We're Looking For: * Data Engineering amp; ETL: Experience ...

Information Technology - Data Engineer Location ... REMOTE Pay Rate: $33/hr. Duration: 04 Months These are the skills required: • Expert in Azure ...

DATA ENGINEER

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

Roanoke, TX · Remote

$65/hr

Westlake, TX (Hybrid - 2 weeks onsite per month/ alternate weeks, rest remote) Salary: Up to $130,000/Annually or $65.00/Hourly Role: Data Engineer Primary Skills: Data Engineering and API ...

Data Engineer

$117K - $140K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering ...

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

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Asynchronous Remote Jobs Data Engineer information

See salary details

$47.5K

$101.7K

$146K

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

As of Jun 7, 2026, the average yearly pay for asynchronous remote jobs data engineer in the United States is $101,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What are Asynchronous Remote Jobs for Data Engineers?

Asynchronous remote jobs for data engineers are positions where professionals work from any location and collaborate with their teams without needing to be online at the same time. This means communication and project updates typically happen through tools like email, project management platforms, or recorded messages, allowing team members to work in different time zones or at their own pace. Data engineers in these roles are responsible for designing, building, and maintaining data systems, pipelines, and architectures, all while coordinating tasks and progress asynchronously. This setup provides greater flexibility and autonomy but also requires strong communication skills and self-motivation.

What are the key skills and qualifications needed to thrive as an Asynchronous Remote Jobs Data Engineer, and why are they important?

To thrive as an Asynchronous Remote Jobs Data Engineer, you need expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with cloud data platforms (such as AWS, Azure, or Google Cloud), distributed computing frameworks, and version control systems like Git is typically required. Excellent time management, self-motivation, and written communication are vital soft skills for coordinating projects and collaborating effectively across different time zones. These skills and qualities are crucial for building reliable data pipelines and maintaining productivity in a flexible, asynchronous work environment.

How do Data Engineers in asynchronous remote jobs typically manage communication and collaboration within distributed teams?

In asynchronous remote roles, Data Engineers frequently rely on clear documentation, version control systems, and project management tools to ensure smooth collaboration across different time zones. Communication is often handled through written updates, recorded video messages, and regularly updated task boards rather than real-time meetings. This setup allows team members to contribute when it best fits their schedules, but it also requires strong self-discipline and proactive communication to keep projects moving forward. Successful Data Engineers in these environments are comfortable with autonomy and are diligent about keeping stakeholders informed of progress and roadblocks.

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

AspectAsynchronous Remote Jobs Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote or on-site, reporting to managers, data visualization tools
Industry UsageTech, finance, e-commerce, healthcareMarketing, finance, retail, healthcare
Search & Comparison IntentUnderstanding technical roles, data infrastructureData insights, reporting, business analysis

While both roles involve working with data remotely, Data Engineers focus on building data pipelines and infrastructure, often requiring technical certifications and cloud platform experience. Data Analysts interpret data to generate reports and insights, typically with a focus on visualization and business understanding. The choice depends on your technical skills and career goals.

Infographic showing various Asynchronous Remote Jobs Data Engineer job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,706 per year, or $48.9 per hour.
Data Engineer - Remote

Data Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$125K - $150K/yr

Full-time

Posted 21 days ago


Job description

NAVA Software solutions is looking for a Data Engineer with one of our clients.
Details:
Data Engineer
Duration: 6 -12 months
Location: Remote project
Skill Sets & Experiences-
  • Experience modeling using RDF TripleStore for Graph Database
  • Strong experience using SQL
  • Strong experience using SPARQL within AWS Neptune/Anzo experience

As a Data Engineer you will:
  • Deliver quality work with little oversight and direction
  • Ensure all project deliverables are high quality by adhering to coding standards and best practices and participating in code reviews
  • Participate in integrated testing sessions of components and subsystems
  • Solve business issues by identifying and analyzing detailed requirements that translate business requirements into data integration and database system designs
  • Deliver status updates to team members on a regular basis and escalate issues and risks to project management as needed
  • Work collaboratively across teams and with other specialized individuals
  • Thrive in a fast-paced, technical environment

The ideal candidate has experience in column-oriented database technologies (i.e. Big Query, Redshift, Vertica, etc.) and traditional database systems (SQL Server, Oracle, MySQL, etc.); experience with data integration projects and automation via ETL Tools (i.e. Talend, Informatica, SSIS, etc.); experience working with different query languages (i.e. PL-SQL, T-SQL); experience in at least one programming language (i.e. Java or Python). Experience in data integration automation via Google DataFlow, Apache Beam, Spark, AWS EMR, etc. a huge plus.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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