Amazon Quicksight

Amazon Quicksight Engineer Jobs

5 jobs found

16d ago

Data Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

16d ago

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

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Job Description

The Data Engineer supporting AWS Enterprise Support Strategy and Operations designs and maintains analytics infrastructure to enable key metrics, dashboards, and data-driven decisions. The role collaborates with data scientists and BI engineers, leveraging SQL, Redshift and Quicksights to deliver actionable insights across SPI operations.

Overview

Within the Strategy, Planning and Inspection group, the Data Engineer builds scalable data architectures, develops and sustains data pipelines, and curates dashboards that inform strategic and operational decisions. The position emphasizes SQL driven analytics using Redshift and Quicksights, with a strong focus on collaborating with Data Scientists and BI Engineers to promote best practices in reporting and analysis.

Location

Pittsburgh, PA (onsite)

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Architect, implement, and maintain an analytics data platform to support reporting and analysis.
Administer AWS services such as EC2, EMR, S3, Glue, Redshift, and related infrastructure.
Collaborate with cross-functional technology teams to extract, transform, and load data from diverse sources using SQL and AWS big data technologies.
Continuously explore new AWS technologies to introduce capabilities and improve efficiency.
Partner with Data Scientists and BI Engineers to identify and promote best practices in reporting and analytics.
Enhance ongoing reporting and analytics workflows, automating or simplifying self-service options for customers.

Requirements

Bachelor's degree.
Experience as a data engineer or related role (eg software engineer, BI engineer, data scientist) with a track record of manipulating, processing, and deriving value from large datasets.
3+ years developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience providing technical leadership and mentoring other engineers on data engineering best practices.
Experience building and operating highly available, distributed systems for data extraction, ingestion, and processing of large data sets.
Experience with data modeling, warehousing, and ETL pipeline development.

Technologies

SQL
Redshift
Quicksights
EC2
EMR
S3
Glue
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

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1mo ago

Data Engineer

Amazon.com Services LLC New York, NY

New York, NY

1mo ago Closed

$145k - $197k/yr Full time Amazon Quicksight Analytics AWS

This position is no longer accepting applications (closed Aug 3, 2026).

Job Description

Join Amazon.com Services LLC in New York, onsite, to architect and launch a greenfield finance data platform for FAIM within Amazon Ads. This role offers a competitive salary range and the opportunity to shape end-to-end data infrastructure in a fast-moving environment. You will collaborate closely with Finance Managers, PM-Ts, Scientists, and Engineering, helping translate raw data into trusted insights and self-service reporting across multiple AI native advertising products.

Benefits

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

Responsibilities

Own the end-to-end technical direction for the FAIM data warehouse, ETL pipelines, and the reporting layer.
Design and operate Datanet and ETLM workflows, Cradle profiles, and Andes datasets, building dashboards that finance partners rely on as the source of truth.
Ingest telemetry from across Amazon’s data ecosystem, including Andes subscriptions, EDX, S3, and internal services, into a clean, query-ready data layer.
Move quickly to deliver in OP1/OP2 cycles, align with MBR/QBR rhythms, and respond to ad hoc executive requests with action-oriented execution.
Turn multi-source, messy data into well-documented dimensional models that scale with the organization.
Lead code and design reviews and establish data quality, lineage, and reliability standards for the team.

Requirements

3+ years of data engineering experience.
1+ year of developing and operating large-scale BI data structures using ETL/ELT processes.
1+ year of developing and operating large-scale BI data structures with data modeling experience.
1+ year of developing and operating large-scale BI data structures with SQL experience.
Experience with data modeling, data warehousing, and building ETL pipelines.

Technologies

SQL, Redshift, Andes, Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, QuickSight
SPICE, Python, Kiro, Claude Code
AWS Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, IAM

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1mo ago

Data Engineer

Amazon.com Services LLC Culver City, CA

Culver City, CA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

This on-site Data Engineer role in Culver City, CA offers a comprehensive compensation package and the opportunity to shape Prime Video data infrastructure for Global Operations. Salary ranges from USD 132,100 to 178,800 per year. The benefits package includes health insurance, an Employee Assistance Program (EAP), mental health support, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, parental leave, sign-on payments, and restricted stock units (RSUs).

Responsibilities

Design, develop, and maintain scalable, automated data pipelines and ETL/ELT processes that ingest, transform, and deliver data to support business reporting and analytics needs.
Architect data infrastructure for agentic AI and Model Context Protocols (MCP) including structured pipelines, usage data capture, and systems that power AI-enabled self-service analytics and reporting.
Build and maintain data lakes, data warehouses, and APIs ensuring reliable, performant access to clean, well-governed data. Optimize storage, queries, and AWS infrastructure costs.
Create logical data models that drive physical design, enabling BI/analytics teams to build self-service reporting on a solid foundation. Support forecasting and capacity planning at scale.
Establish data quality frameworks, monitoring, and alerting to ensure accuracy, completeness, and freshness. Drive governance best practices including lineage tracking, documentation, and access controls.
Own instrumentation strategy for key platforms, ensuring comprehensive data capture across operational workflows.
Partner cross-functionally with BI engineers, analysts, operations, science, and tech teams to translate data requirements into scalable solutions.

Requirements

Bachelor's degree in business, engineering, statistics, computer science, mathematics or a related field
3+ years of data engineering experience
3+ years of experience with big data technologies such as Hadoop, Hive, Spark, or EMR
Experience with data modeling, warehousing, and building ETL/ELT pipelines
4+ years of experience with one or more query languages (e.g., SQL, PL/SQL, DDL, HiveQL, SparkSQL, Scala)
Experience with Python or another scripting language for data processing
Knowledge of data schema design including normalization, relational models, and dimensional models
Cross-team collaboration skills and effective written and verbal communication when interfacing with stakeholders, peers, and executives
Knowledge of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control, continuous deployments, testing, and operational excellence
Experience using BI tools (e.g., Tableau, QuickSight) to visualize data

Technologies

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

Preferred Qualifications

Advanced Degree (MS) in engineering, technology, statistics, analytics, or finance
Experience using BI tools (e.g., 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 architecting and operating solutions built on AWS services including S3, Redshift, SageMaker, EMR, Kinesis, Lambda, and EC2
Experience in large-scale workforce, operations, or capacity planning functions
Experience in data mining and working with large-scale, complex datasets in a business environment
Experience in statistical analysis using tools such as R, SAS, or Matlab

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1mo ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

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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1mo ago

Data Engineer, Prime Video - GSS Planning & Strategy

Amazon.com Services LLC Seattle, WA

Seattle, WA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

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, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

Data Engineer

Data Engineer

Data Engineer II

Data Engineer, Prime Video - GSS Planning & Strategy

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