Data Engineer
Sunnyvale, CA
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingDesign, develop, and maintain scalable, high-availability Data systems.
Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.
Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
From the employer’s posting
Key responsibilities Design, develop, and maintain scalable, high-availability Data systems. Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.
Design, develop, and maintain scalable, high-availability Data systems. Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem. Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem. Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making. Ensure the security and integrity of application data in compliance with industry standards.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications.
- Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
- Familiarity with data modeling, ETL processes, and data warehousing.
- Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.
- Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.
Preferred experience
- Knowledge of Large Language Models (LLMs) is a significant plus.
- Ability to work in a fast-paced and dynamic environment and have a growth mindset.
Qualification wording
Bachelor’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications.
Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
Familiarity with data modeling, ETL processes, and data warehousing.
Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.
Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.
Knowledge of Large Language Models (LLMs) is a significant plus.
Ability to work in a fast-paced and dynamic environment and have a growth mindset.
Tools in this posting
- AWS
- Databricks
- Kafka
- S3
- Terraform
- Airflow
Source — Tool mentions in context
Position overview We are looking for an experienced Data Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high-performance data systems, with a particular focus on enterprise data systems. With our company's growing reliance on cloud technologies, especially AWS, and big data systems, your role will be pivotal in shaping the backbone of our tech infrastructure. Key responsibilities
- Design, develop, and maintain scalable, high-availability Data systems. - Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem. - Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
- Familiarity with data modeling, ETL processes, and data warehousing. - Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch. - Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.
Why BREVIAN? We are a very well funded seed stage startup. You get to experience the 0-1 of building a startup, working with talented engineers from Databricks, LinkedIn, MoveWorks . We offer generous compensation, equity, benefits, perks and flexible time off.
- Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem. - Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making. - Ensure the security and integrity of application data in compliance with industry standards.
- 4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications. - Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines. - Familiarity with data modeling, ETL processes, and data warehousing.
Job description
BREV/AN is at the forefront of revolutionizing how businesses leverage artificial intelligence. Our no-code platform empowers every business team to harness the power of production-grade AI agents, without the need for specialized skills. With BREV/AN, users can effortlessly create, customize, and train AI agents to automate tasks, analyze data, and enhance team productivity. Our commitment to security ensures each agent is equipped with advanced features to protect against prompt injections, redact sensitive information, and refine responses for maximum safety and compliance.
Data Engineer
Position overview
We are looking for an experienced Data Engineer to join our Engineering team. The ideal candidate will have a strong background in developing scalable, high-performance data systems, with a particular focus on enterprise data systems. With our company's growing reliance on cloud technologies, especially AWS, and big data systems, your role will be pivotal in shaping the backbone of our tech infrastructure.
Key responsibilities
- Design, develop, and maintain scalable, high-availability Data systems.
- Work closely with the development team to integrate cloud services and solutions, specifically within the AWS ecosystem.
- Implement and manage big data systems, including but not limited to Kafka, EMR, and data pipelines, to support data-driven decision-making.
Ensure the security and integrity of application data in compliance with industry standards.
Collaborate with cross-functional teams to identify and resolve performance bottlenecks.
Provide technical mentorship to junior team members.
Qualifications
Basic Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in working with Data systems and Data pipeline , preferably for enterprise-level applications.
Solid experience with big data systems, including Kafka, Apache Airflow, and building data pipelines.
Familiarity with data modeling, ETL processes, and data warehousing.
Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch.
Experience with software development lifecycle (SDLC) practices, including coding standards, code reviews, source control management, build processes, and testing.
Preferred Qualifications
Knowledge of Large Language Models (LLMs) is a significant plus.
Strong analytical skills and the ability to tackle issues with innovative solutions.
Security background and experience developing secure applications for enterprises is a plus.
Ability to work in a fast-paced and dynamic environment and have a growth mindset.
We are a very well funded seed stage startup. You get to experience the 0-1 of building a startup, working with talented engineers from Databricks, LinkedIn, MoveWorks .
We offer generous compensation, equity, benefits, perks and flexible time off.
This is an exciting opportunity to ensure generative AI delivers tremendous value safely and securely. Please contact us if you have the skills and passion for this position at the cutting edge of AI security.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on ats.rippling.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sunnyvale, CA
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- Work authorization
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- Status in our records
- Active
- First seen by us
- Jul 4, 2026
- Recorded sightings
- 18
- Last seen by us
- Oct 7, 2026
- Employer says posted
- Jul 18, 2024
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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