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Remote Data Engineer Jobs in Delaware (NOW HIRING)

Relativity

Senior Applied Scientist

Wilmington, DE · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

Quora

AI Automation Engineer -Remote

Smyrna, DE · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Newark, DE · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Seaford, DE · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Wilmington, DE · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Milford, DE · On-site +1

$202.38K - $234.20K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

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Remote Data Engineer information

See Delaware salary details

$44.5K

$129.8K

$177.7K

How much do remote data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote data engineer in Delaware is $129,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $137,600.00 per year, depending on experience, location, and employer.

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 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 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.

More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Delaware? The most popular types of Data Engineer jobs in Delaware are:
What are popular job titles related to Remote Data Engineer jobs in Delaware? For Remote Data Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Delaware look for? The top searched job categories for Remote Data Engineer jobs in Delaware are:
What cities in Delaware are hiring for Remote Data Engineer jobs? Cities in Delaware with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Data Engineer (Short-Term Engagement)

Data Engineer (Short-Term Engagement)

Serverless Guru

Wilmington, DE • On-site, Remote

$111.10K - $133.40K/yr

Temporary

Posted 10 days ago

Job description

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client's ability to make data-driven decisions.
About the Role
As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.
Key Responsibilities
  • Design, build, and optimize data pipelines using CData connectors
  • Ingest and transform data into Snowflake for analytics and reporting
  • Develop and maintain scalable data models within Snowflake
  • Build and optimize Looker schemas (LookML) for business intelligence use cases
  • Ensure data quality, consistency, and reliability across systems
  • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
  • Troubleshoot and resolve data pipeline and modeling issues
  • Implement best practices for data governance, performance optimization, and scalability

Required Skills & Experience
  • 5+ years of overall data engineering experience
  • Expert-level experience with CData (connectors, integrations, and data ingestion)
  • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
  • Extensive experience building Looker schemas (LookML)
  • Strong SQL skills and experience working with large datasets
  • Experience designing and implementing end-to-end data pipelines
  • Familiarity with data integration patterns and best practices
  • Experience working in Agile development environments
  • Strong problem-solving and communication skills

Preferred Qualifications
  • Experience with BI tools beyond Looker
  • Familiarity with modern data stack tools
  • Experience with data governance and data quality frameworks
  • Exposure to cloud-based data ecosystems
  • Experience with manufacturing or distribution data (nice to have)

Engagement Details
  • Duration: 4-5 weeks (40 hrs/week)
  • Timezone: EST
  • Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.

Apply