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Data Engineer, PXT PeopleInsight
Amazon
H1B ✓On-sitemid levelPosted April 15, 2026
About the Role
Design, implement, and maintain business-critical data warehouse and data lake infrastructure using AWS big data technologies. Collaborate with business intelligence engineers to develop actionable insights and automate reporting processes for internal customers.
Requirements
Requires at least 1 year of data engineering experience and proficiency in SQL, data modeling, and ETL pipeline development. Candidates must have experience with scripting languages like Python or Scala and working with large-scale datasets.
Full Job Description
Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Amazon PeopleInsights eXperience (APIX) team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.
We are currently seeking a talented and motivated Data Engineer. In this role, you will be building data engineering applications using AWS stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. APIX has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
In this role you will:
- Design, implement, and support business critical data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Glue/lake formation, EMR/Spark/Scala, Athena etc in a stable, low cost model.
- Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.
- Work directly with customers to integrate new data types, equipment, and incorporate feedback.
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
- Apply software best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.
- Actively support and foster a culture of inclusion.
A day in the life
Successful candidate should have experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.
About the team
Our mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer. Basic Qualifications: - 1+ years of data engineering experience
- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Experience with one or more scripting language (e.g., Python, KornShell, Scala) Preferred Qualifications: - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually
We are currently seeking a talented and motivated Data Engineer. In this role, you will be building data engineering applications using AWS stack. You should have deep expertise and passion in working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. APIX has culture of data-driven decision-making, and demands timely, accurate, and actionable business insights.
Key job responsibilities
In this role you will:
- Design, implement, and support business critical data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Glue/lake formation, EMR/Spark/Scala, Athena etc in a stable, low cost model.
- Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.
- Work directly with customers to integrate new data types, equipment, and incorporate feedback.
- Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
- Apply software best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.
- Actively support and foster a culture of inclusion.
A day in the life
Successful candidate should have experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.
About the team
Our mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer. Basic Qualifications: - 1+ years of data engineering experience
- 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Experience with one or more scripting language (e.g., Python, KornShell, Scala) Preferred Qualifications: - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually