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Weekend Amazon Data Engineer Jobs in California (NOW HIRING)

Info Way Solutions

Data engineer

Fremont, CA · On-site

$125K - $151K/yr

... RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data ... services and data engineering methodologies, applying new insights to enhance our data ...

Amazon

Data Engineer II, Creator Services

Culver City, CA · On-site

$125K - $150K/yr

Amazon's Creator Services leads creator programs that span media, commerce, and culture. The ... We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production ...

Info Way Solutions

Data engineer with python

Fremont, CA · On-site

$125K - $151K/yr

... RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data ... data engineering methodologies, applying new insights to enhance our data infrastructure.

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will bring deep expertise in Amazon Web Services (AWS), large-scale distributed data processing, data lake and warehouse architecture, and production software engineering ...

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will bring deep expertise in Amazon Web Services (AWS), large-scale distributed data processing, data lake and warehouse architecture, and production software engineering ...

Amazon

Data Engineer, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

We are looking for a Data Engineer to design, build, and operate the data pipelines, models, and ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Safran Cabin

Data Engineer

Santa Maria, CA · On-site

$70K - $103K/yr

Employ data analytics skills to develop KPIs and provide detailed reports. An ERP engineer also ... Design and develop Amazon Web Services (AWS) dashboards and reports that support the business.

SGS Consulting

AWS Cloud Data Engineer

San Francisco, CA · On-site

$65.75 - $87.75/hr

Utilize Amazon Bedrock and enterprise LLMs for intelligent automation. * Leverage AI-assisted ... Cloud Data Engineering & AWS (5+ Years) * 5+ years of hands-on experience designing and ...

Brevian.ai

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Job title Data Engineer Position overview We are looking for an experienced Data Engineer to join ... Understanding in cloud technologies like AWS (Amazon Web Services) related technologies such as ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Amazon Redshift and AWS Athena Develop and maintain ETL/ELT pipelines using Python Drive data ... Advanced Python programming for data engineering * Strong expertise in data modeling (star ...

Simarn Solutions, LLC

Data Engineer

Redwood City, CA

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Knowledge of cloud ecosystems such as Amazon AWS and Microsoft Azure is a plus * Proven ability to ...

BREVIAN

Data Engineer

Sunnyvale, CA · On-site

$133K - $160K/yr

They are seeking an experienced Data Engineer to develop scalable data systems and integrate cloud ... Amazon Web Services) related technologies such as Terraform, ECS, S3, RDS, and Opensearch. • ...

Simarn Solutions, LLC

Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Data engineer /Big Data Location: Redwood City, CA Only Visa Independent Consultants (W2) * 10 or ... Knowledge of cloud ecosystems such as Amazon AWS and Microsoft Azure is a plus * Proven ability to ...

Amazon

Data Engineer II, Ring Agent Platforms

Hawthorne, CA · On-site

$116K - $139K/yr

Ring is seeking a Data Engineer with strong analytical, communication, and project management ... These pipelines will be built using both tools available in Native AWS as well as Amazon internal ...

Eleven Recruiting

Data Engineer II

Long Beach, CA · On-site

$125K - $150K/yr

... Amazon Redshift. • Experience with dbt for data transformation and modeling. • Knowledge of workflow orchestration tools like Argo or alternatives (Airflow, Prefect, Dagster). • Strong ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in California

Weekend Amazon Data Engineer information

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in California?

The most popular types of Amazon Data Engineer jobs in California are:

What cities in California are hiring for Weekend Amazon Data Engineer jobs?

Cities in California with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Principal Data Engineer - AWS

Metis Technology Solutions Inc

Mountain View, CA • On-site

$140K - $200K/yr

Full-time

Posted 4 days ago

Job description

POSITION SUMMARY: 

Metis Technology Solutions is seeking an experienced Principal Data Engineer – AWS to join our Software Operations team. This engineer will work closely with software developers, researchers, analysts, database engineers, and system administrators to design, develop, deploy, and operate the data infrastructure and pipelines connecting research platforms, external data sources, cloud-based services, and the project's Sherlock data warehouse. 


This position:

  • Architects, designs, develops, deploys, and maintains scalable and reliable ETL/ELT data pipelines in Amazon Web Services (AWS).
  • Designs automated ingestion and processing solutions for structured, semi-structured, unstructured, batch, and streaming data.
  • Develops production-quality data-processing and pipeline software using Python, SQL, and shell scripting.
  • Designs and maintain workflow orchestration solutions using technologies such as Apache Airflow, Dagster, AWS Step Functions, or equivalent platforms.
  • Designs and implements real-time and near-real-time streaming and event-driven data pipelines using technologies such as AWS Kinesis, Amazon Data Firehose, Kafka, RabbitMQ, SQS/SNS, or equivalent technologies.
  • Develops and maintains cloud data solutions using AWS services such as Amazon S3, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon DynamoDB, Amazon EC2, API Gateway, IAM, and CloudWatch, as appropriate to project requirements.
  • Administers and optimizes relational databases and cloud data warehouses, including PostgreSQL/PostGIS and Amazon Redshift or comparable technologies.
  • Develops and maintains infrastructure as code (IaC) using Terraform or equivalent technologies.
  • Develops and maintains automated deployment and CI/CD processes for data applications and supporting infrastructure.
  • Designs pipelines and supporting infrastructure for reliability, scalability, maintainability, observability, security, and efficient use of AWS resources.
  • Implements appropriate AWS security practices, including IAM roles and policies, encryption, secrets management, network controls, logging, and least-privilege access.
  • Develops monitoring, logging, metrics, and alerting that provide operational visibility into data-pipeline health and performance.
  • Documents data architectures, data flows, interfaces, infrastructure, deployment processes, operational procedures, and troubleshooting practices.
  • Collaborates with researchers, analysts, and application developers to translate research and application requirements into reliable and maintainable data-processing solutions.


MINIMUM QUALIFICATIONS:

 

Education: 

Bachelor’s degree or higher in computer science, computer engineering, information systems, or a related technical discipline.



Required Skills and knowledge:


  • Minimum 10 years of progressively responsible software engineering, data engineering, database engineering, or closely related technical experience.
  • Minimum 5 years of substantial hands-on AWS experience, including the design, implementation, deployment, and operation of production data-processing or data-pipeline solutions.
  • Demonstrated experience architecting and developing ETL/ELT pipelines involving large, heterogeneous, or rapidly changing datasets.
  • Strong hands-on experience with AWS data and compute services. Relevant technologies may include S3, Lambda, Redshift, RDS, DynamoDB, Kinesis, Data Firehose, EC2, API Gateway, IAM, and CloudWatch.
  • Advanced SQL skills and substantial experience working with relational database systems, preferably PostgreSQL/PostGIS.
  • Demonstrated experience with cloud data warehouses such as Amazon Redshift or comparable technologies.
  • Experience with NoSQL databases or document/key-value data stores such as DynamoDB, MongoDB, or comparable technologies.
  • Demonstrated experience with data-pipeline and workflow orchestration using Apache Airflow, Dagster, AWS Step Functions, or comparable technologies.
  • Experience designing or implementing streaming, message-oriented, or event-driven data-processing systems using technologies such as Kinesis, Data Firehose, Kafka, RabbitMQ, SQS/SNS, or comparable technologies.
  • Demonstrated experience diagnosing and correcting database and data-pipeline performance problems.
  • Hands-on experience with infrastructure as code, preferably Terraform or an equivalent technology.
  • Working knowledge of AWS security concepts including IAM, encryption, secrets management, network security, logging, and least-privilege access.
  • Strong understanding of modern software-engineering practices, including modular design, automated testing, version control, documentation, security, and maintainable code.
  • Strong analytical and troubleshooting skills and demonstrated ability to diagnose complex problems spanning applications, databases, data pipelines, and cloud infrastructure.
  • Proven ability to evaluate technical alternatives, make sound architectural decisions, and communicate the rationale and tradeoffs associated with those decisions.
  • Excellent written and verbal communication skills and demonstrated ability to collaborate effectively with software engineers, researchers, analysts, system administrators, and other technical stakeholders.


LOCATION SPECIFIC REQUIRMENTS: NASA Ames Research Center, Moffett Field CA


SECURITY CLEARANCE: Applicant must be eligible to obtain a U.S. Government Public Trust Clearance. Must be a U.S. Citizen or Permanent Resident.


EEOE Including Vets and Disability