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Remote Data Solutions Engineer Jobs in Berkeley, CA

San Francisco preferred (3-5 days in office); open to remote Title: Enterprise Solutions Engineer ... Explain Bland's architecture, in-house voice stack, integration approach, and data/security posture ...

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 ...

Solutions Engineer

San Francisco, CA · Remote

$120K - $160K/yr

Understanding of healthcare data standards (FHIR, HL7) or willingness to learn quickly * Ability to ... Location Remote/San Francisco/Washington DC We are a fully remote, distributed team but encourage ...

Understanding of healthcare data standards (FHIR, HL7) or willingness to learn quickly * Ability to ... Location Remote/San Francisco/Washington DC We are a fully remote, distributed team but encourage ...

Understanding of healthcare data standards (FHIR, HL7) or willingness to learn quickly * Ability to ... Location Remote/San Francisco/Washington DC We are a fully remote, distributed team but encourage ...

Solutions Engineer, NeoCloud

San Francisco, CA · On-site +1

$229K - $299K/yr

While this position is remote, candidates should be located in or willing to relocate to the San ... Designing AI, Service Provider, and Data Center networks at scale * Expertise in AI back-end and ...

Solutions Engineer

San Francisco, CA · On-site +1

$180K - $190K/yr

The Role As a Solutions Engineer, you'll partner with the sales team to demonstrate how Finch ... If you would like more information about how your data is processed, please contact us.

Solutions Engineer, Advisory

San Francisco, CA · On-site +1

$120K - $235K/yr

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... The Fieldguide Solutions Engineer is the primary solution lead with customers and prospects in all ...

We're based in San Francisco, CA, but built as a remote-first company that enables you to do your ... The Fieldguide Solutions Engineer is the primary solution lead with customers and prospects in all ...

Join customer calls to explain API functionality, sandbox environments, data formats ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

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Showing results 1-20

Remote Data Solutions Engineer information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

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

As of Aug 17, 2026, the average yearly pay for remote data solutions engineer in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 per year, depending on experience, location, and employer.

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

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

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

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

What cities near Berkeley, CA are hiring for Remote Data Solutions Engineer jobs?

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

Infographic showing various Remote Data Solutions Engineer job openings in Berkeley, CA as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $158,830 per year, or $76.4 per hour.

Data Engineer - Data & AI, Supply Chain (Remote)

Stage 4 Solutions Inc

San Francisco, CA • Remote

$35 - $40.50/hr

Contractor

Medical, Retirement

Posted 20 days ago


Job description

Data Engineer – Data & AI, Supply Chain (Remote)
 
We are seeking an experienced Data Engineer to join the Data & AI Supply Chain Organization. This role will focus on designing, developing, and supporting scalable cloud-based data products and data pipelines that power analytics and AI initiatives across Supply Chain domains including Sourcing, Transportation, and Warehouse Management (WMS).
The ideal candidate will have strong hands-on experience with Google Cloud Platform (GCP), including Dataproc, BigQuery, SQL, and dbt, along with expertise in building scalable ETL/ELT pipelines and modern data warehouse solutions.
 
This is a 40-hour per week, 18-month contract (possible extension), a remote role.
 
This is a W2 role as a Stage 4 Solutions employee. Health benefits and a 401K are offered.
 
Responsibilities:
●    Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform (GCP).
●    Build and optimize data solutions using Dataproc, BigQuery, SQL, and dbt.
●    Develop and maintain scalable data models that support analytics, reporting, and AI initiatives.
●    Ingest, transform, validate, and publish data from multiple enterprise source systems.
●    Partner with Product Managers, Business Analysts, Data Architects, and Solution Architects to deliver business-driven data solutions.
●    Develop reusable data transformation components following engineering standards and best practices.
●    Optimize data processing performance, reliability, and cost efficiency.
●    Perform unit testing, data validation, troubleshooting, and production support to ensure high-quality data solutions.
●    Participate in Agile ceremonies including sprint planning, backlog refinement, and code reviews.
●    Create and maintain technical documentation including data flows, solution designs, and implementation details.
 
Requirements:
●    Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
●    4+ years of Data Engineering experience.
●    Hands-on experience building cloud-native data solutions on Google Cloud Platform (GCP).
●    Strong experience with:
○    Dataproc
○    BigQuery
○    SQL
○    dbt (Data Build Tool)
●    Experience designing and building scalable ETL/ELT pipelines.
●    Strong knowledge of dimensional data modeling and analytical data warehouse concepts.
●    Experience working with Git-based version control and CI/CD practices.
●    Strong analytical, troubleshooting, and problem-solving skills.
●    Excellent communication and collaboration skills.
 
Preferred Qualifications:
•    Experience with Apache Airflow.
•    Experience with Apache Kafka or other event streaming platforms.
•    Experience with PySpark.
•    Python programming experience for data engineering and automation.
•    Knowledge of data quality, metadata management, and data governance principles.
 
Please submit your resume to our network at https://www.stage4solutions.com/careers/ and apply to the Data Engineer – Data & AI, Supply Chain (Remote) role.
 
Please feel free to forward this opportunity to others who may be interested.
 
Stage 4 Solutions is an equal-opportunity employer. We celebrate diversity and are committed to providing employees with an inclusive environment that is free of discrimination and harassment. All employment decisions are based on job requirements and candidate qualifications, without regard to race, color, religion/belief, national origin, gender identity, age, disability, marital status, genetic information, or other legally protected characteristics.
 
Compensation: $35/hr. - $40.50/hr.
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