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Weekend Amazon Data Engineer Jobs in Memphis, TN

Data Engineer III

Memphis, TN · On-site

$111K - $133K/yr

Required : • Proficient in programming languages such as Python and SQL for database querying and manipulation. • Strong understanding of AWS services related to data engineering, such as Amazon ...

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 ...

Data Engineer III

Memphis, TN

$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 ...

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 ...

AWS ETL Data Engineer - HYBRID

Memphis, TN · On-site

$97.72 - $162.88/hr

... Amazon Redshift. * Develop and maintain Redshift SQL/PLSQL code, stored procedures, and data ... Expertise across engineering, analytics, compliance, architecture, and operational support

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... weekends, nights, and/or holidays - Bachelor's degree in computer science, electrical engineering ...

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

And how do you do it in a way that can scale Our teams of hundreds of scientists, engineers ... This role requires the ability to work any shift, including nights, weekends, and holidays This ...

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Weekend Amazon Data Engineer information

See Memphis, TN salary details

$43.2K

$126K

$172.4K

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

As of Aug 19, 2026, the average yearly pay for weekend amazon data engineer in Memphis, TN is $126,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,600.00 per year, depending on experience, location, and employer.

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 Memphis, TN?

The most popular types of Amazon Data Engineer jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Weekend Amazon Data Engineer jobs?

Cities near Memphis, TN with the most Weekend Amazon Data Engineer job openings:

$111K - $133K/yr

Full-time

Posted 12 days ago


Stifel rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Stifel Financial Corp. is a global wealth management and investment banking firm focused on innovation and client success. The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform, ensuring data quality and accessibility for effective decision-making.
Responsibilities:
• Build and maintain scalable and reliable data pipelines, ensuring the smooth flow of data from various sources to the desired destinations in the AWS cloud environment.
• Work closely with stakeholders to understand their data requirements and design data solutions that meet their needs.
• Understand data models/schemas and implement ETL (Extract, Transform, and Load) processes to transform raw data into a usable format in the destination.
• Responsible for monitoring and optimizing the performance of data pipelines, troubleshooting any issues that arise, and ensuring data quality and integrity.
Qualifications:
Required:
• Proficient in programming languages such as Python and SQL for database querying and manipulation.
• 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.
• Knowledge of database design principles and experience with database management systems.
• Experience with data storage technologies, such as relational databases (e.g., SQL Server, PostgreSQL) and distributed storage systems (e.g., PySpark).
• Understanding of Extract, Transform, Load (ETL) processes and experience with ETL tools like AWS Glue and SQL Server Integration Services is essential.
• Skilled at integrating disparate data sources and ensuring data quality and consistency.
• Understanding and experience with orchestration tools like Apache Airflow, AWS Glue Workflows, AWS Step Functions, and notification services.
• Familiarity with IAC, such as Terraform, git, and DevOps pipelines.
• Strong analytical thinking and problem-solving abilities are essential to effectively identify and resolve data-related issues.
• Ability to analyze complex data sets, identify patterns, and derive actionable insights.
• 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.
• Minimum Required: Bachelor's Degree in Computer Science, related field, or equivalent experience.
• Minimum Required: 7+ years of post-bachelor progressive experience in data engineering.
• Minimum Required: None.
Company:
Established in 1890, Stifel, Nicolaus & Company, Incorporated is one of the nation’s premier full-service financial services firms, providing brokerage, trading, investment banking, investment advisory, and related services to individual investors, professional money managers, businesses, and municipalities through more than 400 locations across the U.S. Founded in 1890, the company is headquartered in Little Rock, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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