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Remote Data Engineering Jobs in Santa Clara, CA (NOW HIRING)

IT America Inc

"DATA ENGINEER"

Cupertino, CA · Remote

$117K - $140K/yr

Remote Duration: 6 month contract Note: Client is looking for someone with experience on more of SQL and limited on Tableau. Required Skills: Data Engineering Expertise: * Experienced in building and ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Align data engineering solutions with business strategy, including support for Agentic AI workloads Data Infrastructure & Platform * Own health, scalability, and modernization of data infrastructure ...

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

Familiarity with PySpark, AWS managed services, data engineering best practices, and code ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Meta

Data Engineer, Product Analytics

Sunnyvale, CA · On-site +1

$147K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Meta

Data Engineer, Product Analytics

Fremont, CA · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$177K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Meta

Data Engineer, Product Analytics

Menlo Park, CA · On-site +1

$147K/yr

Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and ...

Data Piper

Databricks Architect

Pleasanton, CA · Remote

$72 - $94.50/hr

Remote 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience Completed Data Engineering Professional certification & required classes Hands-on experience in ...

Data Piper

Databricks Architect

Pleasanton, CA · On-site +1

$72 - $94.50/hr

Remote • 10+ years experience in data eng, data platforms & analytics, 10+ years of consulting experience • Completed Data Engineering Professional certification & required classes • Hands-on ...

Neo4j

Consulting Engineer

San Mateo, CA · On-site +1

Provide guidance to customers on best practices for Data Engineering, focusing on optimizing data ... Ability to work independently in a remote, cross-functional organization * Curiosity and enthusiasm ...

Tempus

Data Architect, Next Platform

Redwood City, CA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Santa Clara, CA

Remote Data Engineering information

See Santa Clara, CA salary details

$52.3K

$152.3K

$208.5K

How much do remote data engineering jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote data engineering in Santa Clara, CA is $152,344.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $161,500.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Santa Clara, CA?

The most popular types of Data Engineering jobs in Santa Clara, CA are:

What are popular job titles related to Remote Data Engineering jobs in Santa Clara, CA?

For Remote Data Engineering jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Santa Clara, CA look for?

The top searched job categories for Remote Data Engineering jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Data Engineering jobs?

Cities near Santa Clara, CA with the most Remote Data Engineering job openings:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Santa Clara, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $152,344 per year, or $73.2 per hour.

"DATA ENGINEER"

IT America Inc

Cupertino, CA • Remote

$117K - $140K/yr

Contractor

Re-posted 25 days ago

Job description

Position: Data Engineer

Location: Remote

Duration: 6 month contract
Note: Client is looking for someone with experience on more of SQL and limited on Tableau.

 

Required Skills:

Data Engineering Expertise:

  • Experienced in building and maintaining data pipelines (ETL/ELT)
  • Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
  • Comfortable working with cloud platforms (e.g., AWS, GCP, Azure) and tools like BigQuery, Redshift, or Snowflake
  • Familiar with data lake and warehouse architecture (e.g., S3 + Athena, Delta Lake)
  • Strong Python skills for data manipulation (e.g., pandas, pyarrow, pyspark)

Data Infrastructure & Management:

  • Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
  • Skilled in maintaining data quality and integrity (data validation, deduplication, anomaly detection)
  • Familiar with version control, CI/CD practices for data workflows (e.g., Git, dbt cloud)