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Weekend Amazon Data Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

AMAZON WEB SERVICES, INC. Offered Position: Data Engineer II Job Location: Santa Clara, California Job Number: AMZ10046151 Position Responsibilities: Design, develop, implement, test, document, and ...

Amazon Web Services, Inc. Position: Data Engineer II Location: Cupertino, CA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

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 ...

Data Engineer

San Diego, CA

$129K - $156K/yr

... Amazon Redshift, Amazon S3) using modern orchestration tools such as Apache Airflow, dbt, or ... in data engineering or a closely related role. Bachelor's Degree in Computer Science or related ...

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.

Data Engineer

San Diego, CA · On-site

$105K - $125K/yr

... Amazon Redshift, Amazon S3) using modern orchestration tools such as Apache Airflow, dbt, or ... data engineering or a closely related role. * Bachelor's Degree in Computer Science or related ...

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 ...

Data Engineer - III

San Francisco, CA · On-site

$134K - $162K/yr

... Amazon S3, Apache Spark, Apache Airflow, lakehouse architectures, real-time databases, Redshift, or Snowflake. • Experience designing and supporting traditional ETL and Big Data solutions in on ...

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 ...

Data Engineer II

Irvine, CA · On-site

$105K - $130K/yr

Maintains documentation for data engineer processes and procedures ... Collaborates with team to create proof of concept (POC) using Amazon Web Services (AWS). * Performs ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

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 ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in Amazon Web Services (AWS) offerings, development, and networking platforms * Skilled in ...

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 ...

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. • ...

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Weekend Amazon Data Engineer information

How much do Weekend Amazon Data Engineers make?

Weekend Amazon Data Engineers typically earn between $50,000 and $100,000 annually, depending on experience, location, and skill set. Compensation may include benefits such as flexible schedules, cloud tools, and data processing platforms like AWS and Spark.

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:

$125K - $151K/yr

Full-time

Posted 5 days ago


Job description

Job Summary:
Info Way Solutions is seeking a Data Engineer with strong Python and AWS experience. The role involves designing and managing data pipelines, optimizing database performance, and collaborating with cross-functional teams to meet data needs.
Responsibilities:
• Design, implement, and manage robust data pipelines using Python, PySpark, SQL to efficiently extract, transform, and load data from diverse sources(Batch & Streaming)
• Demonstrate expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data solutions.
• Develop and maintain efficient data models to support the analytical and reporting needs.
• Administer databases using AWS services like Amazon RDS or Amazon Redshift, focusing on schema design, performance optimization, and monitoring.
• Utilize Amazon Redshift or Amazon Snowflake to create high-performing analytical databases that empower data-driven decision-making.
• Implement industry best practices for ETL processes, including data validation, error handling, and data quality checks.
• Optimize query performance through continuous tuning of databases and leveraging AWS's scalability capabilities.
• Establish robust monitoring and logging mechanisms using AWS CloudWatch, Amazon CloudTrail, or comparable tools to ensure pipeline reliability.
• Ensure adherence to security best practices and relevant compliance standards, tailoring solutions to meet GDPR, HIPAA, or other regulatory requirements.
• Drive automation of deployment and scaling of data pipelines using infrastructure as code (IaC) tools like AWS CloudFormation and Terraform.
• Collaborate closely with cross-functional teams, including data scientists, analysts, and other stakeholders, to understand their data needs and provide effective solutions.
• Stay updated on the latest developments in AWS services and data engineering methodologies, applying new insights to enhance our data infrastructure.
• Exhibit strong communication skills to facilitate effective teamwork and interaction with diverse groups.
Qualifications:
Required:
• Strong Hands-on experience in Python and AWS
• Experience in designing, implementing, and managing data pipelines using Python, PySpark, SQL
• Expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, AWS LAMBDA
• Ability to develop and maintain efficient data models
• Experience in administering databases using AWS services like Amazon RDS or Amazon Redshift
• Utilization of Amazon Redshift or Amazon Snowflake for creating analytical databases
• Implementation of industry best practices for ETL processes, including data validation, error handling, and data quality checks
• Optimization of query performance through continuous tuning of databases
• Establishment of monitoring and logging mechanisms using AWS CloudWatch, Amazon CloudTrail, or comparable tools
• Ensuring adherence to security best practices and relevant compliance standards
• Driving automation of deployment and scaling of data pipelines using infrastructure as code (IaC) tools like AWS CloudFormation and Terraform
• Collaboration with cross-functional teams, including data scientists, analysts, and other stakeholders
• Staying updated on the latest developments in AWS services and data engineering methodologies
• Exhibiting strong communication skills
Preferred:
• Experience with GDPR, HIPAA, or other regulatory requirements
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.