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Senior Amazon Data Engineer Jobs (NOW HIRING)

Stifel Financial Corp.

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 ...

Amazon

Data Engineer III - AMZ10212104

Seattle, WA · On-site

$162K - $209K/yr

AMAZON DATA SERVICES, INC. Offered Position: Data Engineer III Job Location: Seattle, Washington Job Number: AMZ10212104 Position Responsibilities: Design, develop, implement, test, document, and ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

CEDENT

Senior Data Engineer

Denver, CO

$40 - $60/hr

  • Medical

  • Dental

  • Vision

  • PTO

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience with BI tools (Power BI, Tableau, Amazon QuickSight). * 8+ years in data engineering (ETL, data transformation ...

Amazon

Business Intel Engineer II - AMZ27162.1

Seattle, WA · On-site

$106K - $160K/yr

Amazon Data Services, Inc. Position: Business Intel Engineer II - AMZ27162.1 Location: Seattle, WA Multiple Positions Available: Support senior management by managing metrics reporting and performing ...

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Senior Amazon Data Engineer information

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$81K

$126.3K

$175K

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

As of Aug 19, 2026, the average yearly pay for senior amazon data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

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Senior Amazon Data Engineer jobs near you
Infographic showing various Senior Amazon Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Data Engineer III

Stifel Financial Corp.

Memphis, TN • On-site

$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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