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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Weekend Amazon Data Engineer information
See Portland, OR salary details
$47.2K - $60K
0% of jobs
$60K - $72.8K
1% of jobs
$72.8K - $85.7K
3% of jobs
$85.7K - $98.5K
4% of jobs
$98.5K - $111.3K
7% of jobs
$122.5K is the 25th percentile. Wages below this are outliers.
$111.3K - $124.1K
11% of jobs
$124.1K - $136.9K
12% of jobs
The median wage is $140.4K / yr.
$136.9K - $149.8K
45% of jobs
$149.8K - $162.6K
8% of jobs
$162.6K - $175.4K
5% of jobs
$175.4K - $188.2K
3% of jobs
$47.2K
$137.6K
$188.2K
How much do weekend amazon data engineer jobs pay per year?
What are Weekend Amazon Data Engineers?
What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?
What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?
What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?
| Aspect | Weekend Amazon Data Engineer | Weekend Amazon Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Data Engineering certifications | Bachelor's in Statistics, Data Analysis certifications |
| Work Environment | Data pipelines, cloud platforms, ETL processes | Data interpretation, reporting, visualization tools |
| Employer & Industry Usage | Amazon, e-commerce, cloud services | Amazon, 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.
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$58 - $76.75/hr
Contractor
Posted 15 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.