Amazon Quicksight

Amazon Quicksight Engineer Jobs

2 jobs found

1d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services Analytics

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Job Description

The Data Engineer II role at Amazon Manufacturing Services focuses on designing and operating data pipelines, maintaining the data warehouse and data lake, and delivering dashboards and ML workflows to illuminate shop floor operations. This onsite position is based in Bellevue, WA, and involves collaboration with senior engineers on architecture and integration patterns while owning a portion of the data domain.

Responsibilities

Design and operate data pipelines using AWS Glue with PySpark, Kinesis, S3, and EventBridge to ingest DynamoDB streams and enterprise data into the AMS data lake
Model and maintain the Redshift data warehouse and the S3/Athena data lake that powers analytics across AMS services
Develop ingestion and modeling layers for enterprise sources such as SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance
Create QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs
Build and deploy machine learning models and pipelines for manufacturing use cases including demand forecasting, machine health prediction, and scheduling optimization
Own data quality, lineage, and documentation across the AMS analytics stack
Collaborate with senior SDEs on architecture, service event schemas, and integration patterns, while maintaining substantial ownership over a segment of the data domain

Requirements

3+ years of data engineering experience
At least 1 year developing and operating large-scale BI data structures using ETL/ELT processes
At least 1 year in data modeling for BI data structures
At least 1 year working with SQL to support BI analytics
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Proficiency in at least one modern programming or scripting language, including Python, Java, Scala, or NodeJS

Technologies

AWS Glue, PySpark
Kinesis, S3, EventBridge
DynamoDB, Redshift, Athena
SAP S/4HANA, JobBoss, Siemens Teamcenter, Dot Compliance
QuickSight
React, Python, Java, Scala, NodeJS
EMR, FireHose, Lambda, IAM

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day in the Life

Each day begins with a standup alongside software engineers, data engineers, and manufacturing stakeholders. You may continue a React component that shows real-time resource status for shop floor planners, then switch to a backend task such as designing a DynamoDB schema for part versioning. A code review from a senior engineer working on an enterprise integration bridge prompts you to map how AMS connects with external manufacturing platforms.

Some weeks lean toward frontend work, crafting interactive data visualizations or responsive layouts for shop floor devices. Other weeks emphasize backend efforts, including implementing event-sourced entity patterns or integrating with third-party APIs. The exact mix varies by sprint and project needs.

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1d ago

Data Engineer, Prime Video - GSS Planning & Strategy

Amazon.com Services LLC Seattle, WA

Seattle, WA

1d ago

$132k - $179k/yr Full time Amazon Quicksight Analytics AWS

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Job Description

Join Prime Video Global Operations as a Data Engineer responsible for designing scalable data ecosystems, pipelines, and AI-enabled analytics across marketing, finance, and cross-functional teams.

Responsibilities

Create and sustain scalable data pipelines and ETL or ELT workflows to ingest, transform, and deliver data for reporting and analytics needs.
Architect data foundations to support agentic AI and Model Context Protocols (MCP), including structured pipelines, usage data capture, and systems enabling AI-powered self-service analytics and reporting.
Develop and maintain data lakes, data warehouses, and APIs to ensure reliable, fast access to clean, governed data; optimize storage, query performance, and AWS cost efficiency.
Design logical data models that guide physical implementations, enabling BI and analytics teams to build self-service reporting on a solid foundation; support scalable forecasting and capacity planning.
Implement data quality programs with monitoring and alerting to ensure accuracy, completeness, and freshness; promote governance practices like lineage, documentation, and access controls.
Own the instrumentation strategy for key platforms to guarantee comprehensive data capture across operational workflows.
Collaborate across BI engineers, analysts, operations, science, and software teams to translate data needs into scalable solutions.

Requirements

Bachelor's degree in a quantitative or technical field such as engineering, statistics, computer science, mathematics, or a related discipline
Minimum 3 years of data engineering experience
At least 3 years working with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience modeling data, building data warehouses, and constructing ETL/ELT pipelines
4+ years of experience with one or more query languages (SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Proficiency in Python or another scripting language for data processing
Knowledge of data schema design, including normalization, relational models, and dimensional models
Strong cross-functional collaboration and clear written and verbal communication with stakeholders, peers, and leaders
Familiarity with professional software engineering practices across the full SDLC, including coding standards, code reviews, source control, CI/CD, testing, and operational excellence
Experience using BI tools such as Tableau or QuickSight to visualize data

Technologies

Hadoop, Hive, Spark, EMR
SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala
Python
Tableau, QuickSight
AWS services: S3, Redshift, SageMaker, EMR, Kinesis, Lambda, EC2
Informatica, Airflow, ODI, SSIS, BODI, Datastage

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

Preferred Qualifications

Advanced degree (MS) in engineering, technology, statistics, analytics, or finance
Experience using BI tools (Tableau, QuickSight) to visualize data
Experience developing, scaling, and governing global operations standards and infrastructure across matrixed organizations
Experience with ETL tools such as Informatica, Airflow, ODI, SSIS, BODI, or Datastage
Experience designing and operating solutions on AWS including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large-scale workforce, operations, or capacity planning
Experience data mining and working with large-scale, complex datasets in business settings
Experience with statistical analysis using R, SAS, or Matlab

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Amazon Quicksight Engineer Jobs

Data Engineer II

Data Engineer, Prime Video - GSS Planning & Strategy

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