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Remote Data Engineer Jobs in Carlsbad, CA (NOW HIRING)

NTENT

Senior Data Engineer

Carlsbad, CA · On-site +1

$109K - $148K/yr

Senior Data Engineer Position: Full time Location ... Carlsbad office (Initially Remote) About Us: NTENT provides a Platform-as-a-Service (PaaS ...

Apex Informatics

SR. Data Engineer

San Diego, CA · On-site +1

$121K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and take a code pad test we will give them before submittal. Also, must have Airflow Scala, Kafka and or ...

SAIC

Data Ops Engineer

San Diego, CA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a Data Ops Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for ...

Axos Bank

Data Product Manager

San Diego, CA · On-site +1

$120K - $140K/yr

Remote or Hybrid is not available. Key Responsibilities: * Own and manage the data engineering backlog -prioritize stories, define acceptance criteria, and ensure delivery of pipelines and platform ...

Curology

Senior Director Data & Analytics

San Diego, CA · On-site +1

Collaborate with Data Engineering to ensure scalable, secure, and accessible data infrastructure ... Benefits Location Remote (US) Benefits & Perks * Competitive compensation and equity package (RSUs)

Wsgr

Principal Solutions Engineer

San Diego, CA · On-site +1

The ideal candidate will have a strong background in solution design, data management, and ... This position is available as a hybrid or fully remote work schedule. Responsibilities: Solution ...

AbbVie

Machine Learning Engineer

San Diego, CA · On-site +1

Build and maintain data pipelines and feature engineering workflows to support machinelearning and ... Ability to work effectively in a remote environment using collaboration tools Preferred Experience ...

SAIC

ICT Infrastructure Engineer

San Diego, CA · Remote

$40K - $80K/yr

ORA_REMOTE Description SAIC is seeking a highly experienced ICT (Information, Communications ... Provide review of product data, shop drawing, and test reports submittals. * Conduct quality ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Carlsbad, CA

Remote Data Engineer information

See Carlsbad, CA salary details

$46.2K

$134.6K

$184.1K

How much do remote data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for remote data engineer in Carlsbad, CA is $134,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $142,600.00 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.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Carlsbad, CA?

The most popular types of Data Engineer jobs in Carlsbad, CA are:

What are popular job titles related to Remote Data Engineer jobs in Carlsbad, CA?

For Remote Data Engineer jobs in Carlsbad, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Carlsbad, CA look for?

The top searched job categories for Remote Data Engineer jobs in Carlsbad, CA are:

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Cities near Carlsbad, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Carlsbad, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $134,562 per year, or $64.7 per hour.

Senior Data Engineer

Carlsbad, CA • On-site, Remote

NTENT
See more jobs at NTENTexternal

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Senior Data Engineer
Position: Full time
Location: Carlsbad office (Initially Remote)
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company’s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.

About the Opportunity:
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.
We are looking for a Senior Data Engineer to join our team to manage and oversea data logging, pipelines, processing and presentation of data related to NTENT's platforms. The right candidate will take a lead role on the design of NTENT's next generation platform utilizing technologies outside of the Hadoop ecosystem.
Duties and Responsibilities:
  • Design, implement, and support ETL data pipelines in a big data environment
  • Maintain and improve existing data logging, pipeline and analytics platform
  • Architect and design next generation data platform with appropriate new technologies
  • Work with executives, product managers, machine learning scientists, and engineers to understand reporting and visualization needs
  • Design, implement, and support a SQL based data warehouse
  • Ensure reliability and accuracy of data logging and processing for all NTENT products
Skills and Qualifications:
  • Graduate degree in Computer Science or a similar field, or equivalent work experience
  • 3+ years working in Data Engineering or Data Warehousing
  • Experience with T-SQL, specifically Microsoft SQL Server
  • Experience with Database design and schema definition
  • Experience with Hadoop ecosystem (Hive, Pig, Oozie)
  • Experience with Python
  • Experience with Data Visualization and Reporting platforms
The following experience is a plus:
  • Tableau
  • Kafka
  • Spark
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.

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