Thank you. Position: Sr Big Data Engineer Location: Beaverton, OR. Duration: Long Term Skills ... Amazon Data Pipeline, Luigi, Oozie, etc. - Intelligence, strong problem-solving ability, and the ...
Thank you. Position: Sr Big Data Engineer Location: Beaverton, OR. Duration: Long Term Skills ... Amazon Data Pipeline, Luigi, Oozie, etc. - Intelligence, strong problem-solving ability, and the ...
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Senior Amazon Data Engineer information
See Portland, OR salary details
$85.9K - $95K
5% of jobs
$95K - $104K
9% of jobs
$112.3K is the 25th percentile. Wages below this are outliers.
$104K - $113.1K
11% of jobs
$113.1K - $122.2K
13% of jobs
The median wage is $128.8K / yr.
$122.2K - $131.2K
16% of jobs
$131.2K - $140.3K
11% of jobs
$148.4K is the 75th percentile. Wages above this are outliers.
$140.3K - $149.3K
10% of jobs
$149.3K - $158.4K
9% of jobs
$158.4K - $167.5K
6% of jobs
$167.5K - $176.5K
5% of jobs
$176.5K - $185.6K
3% of jobs
$85.9K
$134K
$185.6K
How much do senior amazon data engineer jobs pay per year?
What are the key skills and qualifications needed to thrive as a senior Amazon data engineer, and why are they important?
What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?
| Aspect | Senior Amazon Data Engineer | Amazon Data Engineer |
|---|---|---|
| Required Credentials | Typically requires 5+ years experience, advanced SQL, AWS certifications | Entry to mid-level, foundational SQL, AWS certifications beneficial |
| Work Environment | Designing complex data pipelines, mentoring, strategic projects | Building and maintaining data pipelines, data analysis |
| Employer & Industry Usage | Used in large-scale data teams within Amazon and similar tech companies | Common 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?
What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

$58 - $76.75/hr
Contractor
Re-posted 29 days ago
Job description
Hi,
We have immediate opportunity with our direct client send your resume asap upon your interest. Thank you.
Position: Sr Big Data Engineer
Location: Beaverton, OR.
Duration: Long Term
Skills
Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.
Core responsibilities: Expert data engineers will work with product teams across client to help automate and integrate various of data domains with a wide variety of data profiles (different scale, cadence, and volatility) into client's next-gen data and analytics platform. This is an opportunity to work across multiple subject areas and source platforms to ingest, organize, and prepare data through cloud-native processes.
Required skills/experience:
- 5+ years of professional development experience between either Python (preferred) or Scala/Java; familiarity with both is ideal
- 5+ years of data-centric development with a focus on efficient data access and manipulation at multiple scales
- 3+ years of experience with the HDFS ecosystem of tools (any distro, Spark experience prioritized)
- 3+ years of significant experience developing within the broader AWS ecosystem of platforms and services
- 3+ years of experience optimizing data access and analysis in non-HDFS data platforms (Traditional RDMS's, NoSQL / KV stores, etc)
- Direct task development and/or configuration experience with a remote workflow orchestration tool - Airflow (preferred), Amazon Data Pipeline, Luigi, Oozie, etc.
- Intelligence, strong problem-solving ability, and the ability to effectively communicate to partners with a broad spectrum of experiential backgrounds
Several of the following skills are also desired:
- A demonstrably strong understanding of security and credential management between application / platform components
- A demonstrably strong understanding of core considerations when working with data at scale, in both file-based and database contexts, including SQL optimization
- Direct experience with Netflix Genie is another huge plus
- Prior experience with the operational backbone of a CI/CD environment (pipeline orchestration + configuration management) is useful
- Clean coding practices, passion for development, being a generally good team player, etc, etc (and experience with GitHub) is always nice
Keys to Success:
- Deliver exceptional customer service
- Demonstrate accountability and integrity
- Be willing to learn and adapt every day
- Embrace changeSkills
Regards
Nithya
All your information will be kept confidential according to EEO guidelines. please send the profiles to nithyar(at)usmsystems.com and contact No# 703-794-2380.