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Senior Amazon Data Engineer Jobs (NOW HIRING)

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 · 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 · 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 ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision Intelligence ...

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr. Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision ...

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision Intelligence ...

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 ...

Senior Data Engineer

Denver, CO · On-site

$40 - $60/hr

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 ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Expertise in leading cloud technologies like Amazon Web Services * Ability to communicate technical ... Data Engineer, Senior Data Engineer, Database Engineer, Data Architect, Senior Data Architect

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a ... CockroachDB, Amazon Aurora and Redis; Linux - RedHat; Continuous Integration and Deployment ...

Senior Data Engineer

Herndon, VA

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a ...

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Senior Amazon Data Engineer information

See salary details

$81K

$126.3K

$175K

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

As of Jul 9, 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 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.

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.
More about Senior Amazon Data Engineer jobs
What cities are hiring for Senior Amazon Data Engineer jobs? Cities with the most Senior Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Senior Amazon Data Engineer jobs? States with the most job openings for Senior Amazon Data Engineer jobs include:
Data Engineer III

Data Engineer III

Stifel

Memphis, TN • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


Stifel rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

Let’s talk about how you can find your place here at Stifel, where success meets success.


The Data Engineer III is responsible for designing, developing, and maintaining data pipelines and infrastructure on the AWS platform. The Data Engineer III works with large volumes of data, ensuring its quality, reliability, and accessibility. Tasks may include data ingestion, transformation, storage, data sharing and consumption, and implementing data security and privacy measures. This role is crucial in enabling efficient and effective data-driven decision-making.


  • 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.

  • 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.

  • Proficient in the following computer languages:
    • Python
    • SQL
  • AWS technologies to include:
    • Glue
    • S3
    • Redshift
    • Lambda
    • Lake Formation
    • DataZone

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Stifel is more than 130 years old and still thinking like a start-up.  We are a global wealth management and investment banking firm serious about innovation and fresh ideas.  Built on a simple premise of safeguarding our clients’ money as if it were our own, coined by our namesake, Herman Stifel, our success is intimately tied to our commitment to helping families, companies, and municipalities find their own success.

While our headquarters is in St. Louis, we have offices in New York, San Francisco, Baltimore, London, Frankfurt, Toronto, and more than 400 other locations.  Stifel is home to approximately 9,000 individuals who are currently building their careers as financial advisors, research analysts, project managers, marketing specialists, developers, bankers, operations associates, among hundreds more.  Let’s talk about how you can find your place here at Stifel, where success meets success.

At Stifel we offer an entrepreneurial environment, comprehensive benefits package to include health, dental and vision care, 401k, wellness initiatives, life insurance, and paid time off.

Stifel is an Equal Opportunity Employer.


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