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Senior Amazon Data Engineer Jobs (NOW HIRING)

Senior Data Engineer

Chantilly, VA · On-site

$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 ...

Senior IT Data Engineer Personnel Qualifications * At least seven years of experience evaluating ... Amazon Aurora, Snowflake, Databricks, Amazon Redshift. * Ability to use infrastructure as code (IaC ...

Senior Data Engineer

Chantilly, VA · On-site

$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 ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Sr. Data Engineer - AWS Glue & Snowflake, Healthcare Payer Location - Midtown Manhattan, NYC- 4day ... Amazon S3 * IAM * Lake Formation * CloudWatch * Lambda * Step Functions * EventBridge * Ensure ...

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

... Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable ...

Sr. Data Engineer

Crystal City, TX · Hybrid

$106K - $140K/yr

Job Openings >> Sr. Data Engineer Sr. Data Engineer Summary Title: Sr. Data Engineer ID: 1000000039 ... Architect AWS deployments using EC2, ECS, EBS, RDS Postgres, ALBs, Lambda, S3, and Amazon MQ ...

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... This is a role with high visibility to senior leadership and with high opportunity for impact for ...

Senior Amazon Connect Developer

$125K - $165K/yr

Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25% We are seeking an experienced Amazon Connect Engineer to design, build, and optimize advanced contact ...

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

... senior leadership for strategic decision-making. About the team The AI Services Data Engineering team builds the data infrastructure behind AWS's Agentic AI portfolio - Amazon Bedrock, AgentCore ...

Data Engineer II, AAE

Bellevue, WA

$129K - $155K/yr

... senior leadership for strategic decision-making. About the team The AI Services Data Engineering team builds the data infrastructure behind AWS's Agentic AI portfolio - Amazon Bedrock, AgentCore ...

... Amazon-wide data regulations. The Data Engineer will partner with Senior Data Engineers and SDE teams to design and maintain our Redshift-based data warehouse environment, building scalable ...

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Showing results 1-20

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.
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Senior Data Engineer

Senior Data Engineer

VTG

Chantilly, VA • On-site

$109K - $148K/yr

Full-time

Re-posted 12 days ago


Job description

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.


What will you do?
  • As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.

  • Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.

  • You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.

  • Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.

  • Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Education:UNAVAILABLEEmployment Type: FULL_TIME