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Weekend Amazon Data Engineer Jobs (NOW HIRING)

Syntricate Technologies

Data Engineer

Memphis, TN · Hybrid

$102.20K - $122.70K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111.30K - $133.60K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111.30K - $133.70K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111.30K - $133.60K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Amazon

Business Intel Engineer III - AMZ9673847

Houston, TX · On-site

$133.08K - $176.30K/yr

AMAZON DATA SERVICES, INC. Offered Position: Business Intel Engineer III Job Location: Houston, Texas Job Number: AMZ9673847 Position Responsibilities: Support senior management by managing metrics ...

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Weekend Amazon Data Engineer information

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$44.5K

$129.7K

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How much do weekend amazon data engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for weekend amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 does a typical weekend look like for an 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 Weekend Amazon Data Engineers?

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 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.

More about Weekend Amazon Data Engineer jobs
What cities are hiring for Weekend Amazon Data Engineer jobs? Cities with the most Weekend Amazon Data Engineer job openings:
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What states have the most Weekend Amazon Data Engineer jobs? States with the most job openings for Weekend Amazon Data Engineer jobs include:
What job categories do people searching Weekend Amazon Data Engineer jobs look for? The top searched job categories for Weekend Amazon Data Engineer jobs are:
Weekend Amazon Data Engineer jobs near you
Data Engineer

Data Engineer

Syntricate Technologies

Memphis, TN • Hybrid

$102.20K - $122.70K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data Engineer - Must Have Aws experience
Location: Memphis, TN - Onsite / Hybrid
Type: Fulltime
Job Summary: The data engineer's main responsibility is to design, develop, and maintain data pipelines and infrastructure on the AWS platform. Working with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, and storage, data sharing and consumption as well as implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making within the company.
Essential Duties and Responsibilities
  1. Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in AWS cloud environment.
  2. Work closely with stakeholders to understand their data requirements and designing data solutions that meet their needs. This includes understanding data models/schemas, and implementing ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in destination.
  3. Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.

Qualifications & Technology
  1. Proficient in programming languages such as Python, as well as SQL for database querying and manipulation.
  2. Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK and Amazon EMR.
  3. Knowledge of database design principles and experience with database management systems
  4. Experience with data storage technologies like relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark) is essential.
  5. Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is important. You should be skilled at integrating disparate data sources and ensuring data quality and consistency.
  6. Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions and notification services.
  7. Familiarity to IAC such as Terraform, git and DevOps pipelines
  8. Awareness of data governance practices, data privacy regulations, and security protocols is crucial. Experience implementing data security measures and ensuring compliance with relevant standards is desirable.
  9. Strong analytical thinking and problem-solving abilities are essential to identify and resolve data-related issues effectively. You should be able to analyze complex data sets, identify patterns and derive actionable insights.

Education and Experience
  1. Minimum Required: Bachelor's Degree in Computer Science or related field or equivalent experience

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