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Remote Amazon Data Science Jobs in Bothell, WA (NOW HIRING)

Mactores

AWS Data Engineer (Associate)

Seattle, WA · On-site +1

$130K - $156K/yr

You work with business leads, analysts, and data scientists to understand the business domain and ... Write SQL Queries in - Amazon Athena, Amazon Redshift * Explore new technologies and learn new ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · Remote

$108K - $147K/yr

... Science, Engineering, or a related field. * 3+ years of experience working with PySpark and SQL. * 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. * 2+ ...

Mactores

AWS Data Engineer (Senior)

Seattle, WA · On-site +1

$120K - $163K/yr

... Science, Engineering, or a related field. * 3+ years of experience working with PySpark and SQL. * 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. * 2+ ...

Deloitte

Databricks Manager

Seattle, WA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

Deloitte

Databricks Manager

Bellevue, WA · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ... Support data science and model teams with platform needs, environment enablement, and deployment ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

ZipRecruiter

Senior Software Engineer, Big Data

Seattle, WA · Remote

$140K - $200K/yr

Comprehensive computer science fundamentals in coding, object-oriented programming, data structures ... Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data ...

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Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

What are popular job titles related to Remote Amazon Data Science jobs in Bothell, WA? For Remote Amazon Data Science jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Remote Amazon Data Science jobs? Cities near Bothell, WA with the most Remote Amazon Data Science job openings:
Remote Amazon Data Science jobs near you
AWS Data Engineer (Associate)

AWS Data Engineer (Associate)

Mactores

Seattle, WA • On-site, Remote

$130K - $156K/yr

Full-time

Posted 14 days ago

Job description

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions.
If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.
What you will do?
  • Write efficient code in - PySpark, Amazon Glue
  • Write SQL Queries in - Amazon Athena, Amazon Redshift
  • Explore new technologies and learn new techniques to solve business problems creatively
  • Collaborate with many teams - engineering and business, to build better data products and services
  • Deliver the projects along with the team collaboratively and manage updates to customers on time

What are we looking for?
  • 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
  • 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
  • 2+ years of experience in SQL queries and stored procedures
  • Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+

You will be preferred if you have
  • Prior experience in working on AWS EMR, Apache Airflow
  • Certifications AWS Certified Big Data - Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
  • Understanding of DataOps Engineering

Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead
2. Deliver the best
3. Be bold
4. Pay attention to the detail
5. Enjoy the challenge
6. Be curious and take action
7. Take leadership
8. Own it
9. Deliver value
10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers
The Path to Joining the Mactores Team
At Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment:
You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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