Data Warehouse

Data Warehouse Engineer Jobs

395 jobs found

6d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Buffalo, NY

Buffalo, NY

6d ago

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

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Job Description

On-site opportunity in Buffalo, NY with PwC in the Managed Services for Data & Analytics. This role offers a salary range of $63,000 to $140,000 per year and a comprehensive benefits package that includes an annual discretionary bonus, medical, dental, vision, 401k, holiday pay, vacation, and personal and family sick leave.

The Opportunity

As a Managed Services data engineer with Experienced Associate level, you will apply data and analytics to deliver strategic insights and support informed decision-making for clients. Within the Data & Analytics practice, you will design and implement innovative data solutions to optimize performance and strengthen competitive advantage. The role emphasizes learning, client engagement, and contributing to projects while building your skills to deliver high-quality results.

Responsibilities

Develop and implement data driven solutions to improve business performance and competitive position, covering data engineering and ETL.
Apply advanced analytics to generate strategic insights and support decision making, including SQL optimization.
Build and maintain data pipelines to streamline data collection and analysis, using DataStage.
Leverage business intelligence tools such as Oracle Business Intelligence and QlikView to create reports and dashboards from DB2 and SQL Server sources.
Collaborate with colleagues to gather and analyze data from multiple sources, identifying patterns and trends within star schemas and dimensions.
Apply data architecture development skills to design and maintain robust database management systems, including snowflake models.
Drive continuous process improvements to enhance data quality and integrity.
Support client engagements by listening to diverse perspectives and addressing needs in regulated environments.
Contribute to the development of business cases and market strategies through data analysis and interpretation.
Adapt to a fast paced environment and take ownership of tasks to consistently deliver quality work, including job scheduling and UNIX-based work.

Requirements

Bachelor’s degree required.
At least 1 year of relevant experience.

Technologies

DataStage
Oracle Business Intelligence
QlikView
DB2
SQL Server
Snowflake
Python
Java
Spotfire
UNIX
SQL

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Salary and Benefits

Salary range: $63,000 - $140,000 per year. Actual compensation will reflect skills, experience, qualifications, location, and applicable laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a broad benefits package, including medical, dental, vision, 401k, holiday pay, vacation, and personal and family sick leave. For a concise overview of benefits, visit the benefits at a glance page: benefits at a glance.

What Sets You Apart

Preference for study in fields such as Computer and Information Science, Economics, Engineering, and related programs
Proficiency in Python and Java programming languages
Experience with data visualization tools like QlikView and Spotfire
Development of business intelligence solutions using Oracle BI
Engagement in data architecture development and management
Analytical skills in macroeconomic and microeconomic contexts
Strong capabilities in data analysis and interpretation

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6d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

6d ago

$132k - $179k/yr Full time Amazon Emr Amazon Web Services Apache Airflow

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Job Description

Amazon Security offers a collaborative, security‑focused data environment with a global footprint. The Data Engineer II role sits at the heart of Veritas, a foundational service that provides data for security reviews, threat modeling, and incident response. You will build scalable data infrastructure and high‑quality pipelines inside a large data lake that leverages AWS data services and AI enabled data objects. This onsite, Seattle position comes with a competitive annual salary between USD 132,100 and 178,800, plus a comprehensive benefits package and opportunities to contribute to security initiatives across more than ten countries within the AmSec organization.

Responsibilities

Develop and influence the team’s data strategy and storage roadmap through close collaboration with partners
Lead designs for data governance, define data schemas, and build tools that enable efficient data sharing with customers while meeting strict confidentiality guidelines
Improve data quality and operations through automation and end-to-end CI/CD data pipelines
Adopt best practices in data integrity, modeling, testing, validation, and documentation
Construct end-to-end data pipelines to ingest and transform data from diverse sources and systems
Leverage AI and LLM capabilities to automate manual and repetitive data engineering tasks
Evaluate and implement big data technologies (such as Redshift, Iceberg, Hive/EMR, Spark, SNS, SQS) to optimize processing of very large datasets
Analyze business processes, logical data models, and relational database implementations
Write high‑performing, optimized SQL queries

Requirements

4+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
4+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies
Working knowledge of professional software engineering practices across the full software development lifecycle, including coding standards, architecture, code reviews, source control, continuous deployment, testing, and operational excellence

Technologies

Amazon EMR, AWS Glue, Amazon Athena, Amazon Redshift, Amazon S3
Amazon SNS, Amazon SQS, Apache Airflow, Iceberg, Hive, Spark
SQL, AI/LLM capabilities integrated into data workflows

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage

Description

Amazon Security (AmSec) seeks a Data Engineer II to join a team dedicated to resource and application discovery within Amazon security. The Veritas product provides essential data for security initiatives such as reviews, threat modeling, detection, access control, and incident response. You will be part of an AmSec organization with a global presence spanning more than ten countries, contributing to scalable security data platforms and cross‑border collaboration.

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6d ago

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

Amazon Web Services, Inc. Pittsburgh, PA

Pittsburgh, PA

6d 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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6d ago

Data Engineer II, Intelligent Talent Acquisition (ITA) - Data

Amazon.com Services LLC Seattle, WA

Seattle, WA

6d ago

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

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Job Description

This Data Engineer II position supports Amazon's Intelligent Talent Acquisition Data team, focusing on designing, implementing, and maintaining scalable data infrastructure and pipelines to enable ITA operations. The role is onsite in Seattle, WA, with a yearly salary range of USD 132,100 to 178,800.

Responsibilities

Design, implement, and support a platform providing secured access to large datasets.
Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines.
Develop the team's data strategy and technical roadmap for data storage and pipeline design and implementation.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting, and AWS big data technologies.
Design and implement complex ETL pipelines and other BI solutions.
Work closely with business owners, developers, and Business Intelligence Engineers to explore new data sources and deliver the data.
Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using AWS.
Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, along with fostering a culture of self-reliance.

Requirements

3+ years of data engineering experience.
Experience with data modeling, warehousing and building ETL pipelines.
Experience with SQL.

Technologies

SQL
AWS Redshift
AWS S3
AWS Glue
AWS EMR
AWS Kinesis
AWS Firehose
AWS Lambda
IAM roles and permissions

Benefits

Health insurance (medical, dental, vision, prescription)
401(k) matching
Paid time off
Parental leave
Basic Life and AD&D insurance
Supplemental life plans
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage

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6d ago

Data Engineer- Data Science Focus, Ads Science Analysis & Tech (ASAT)

Amazon.com Services LLC Palo Alto, CA

Palo Alto, CA

6d ago

$111k - $185k/yr Full time Ad Tech Analytics Business Analytics

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Job Description

Join a company that values practical impact, comprehensive benefits, and a collaborative culture. This on-site role in Palo Alto offers a salary from USD 111,400 to 185,000 per year, and a benefits package designed to support you and your family. You will be an early‑career Data Engineer with a Data Science orientation, building tools to analyze advertising data, refining bidding and targeting, and evaluating feature releases. Collaboration with product and engineering will shape data logging and KPIs to drive measurable improvements in Amazon Ads analytics.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance covering medical, dental, vision, prescription, plus Basic Life & AD&D with optional supplemental life plans
Employee Assistance Program (EAP) and Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement
401(k) matching
Paid time off and Parental leave

What you will do

Analyze data trends related to supply, optimization, ad load, and advertising mix to gauge effects on advertiser performance and help reach advertiser goals
Present analyses to senior leaders on topics such as how feature development influences identity recognition rates and how changes to ad selection impact fill rate, highlighting insights that inform business and engineering roadmaps
Formalize analytics approaches for Ads auctions by examining bid spreads, auction depth, and simulating potential auction structure changes
Identify, standardize, and operationalize KPIs to measure the performance of all ad-serving systems, using trend insights to guide business priorities
Collaborate with engineering teams to define data logging requirements and secure prioritization on engineering roadmaps
Validate financial models through rigorous analysis
Develop and maintain ad revenue and supply intelligence analytics decks for ongoing, in-depth reviews

What we are looking for

1+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing, and building ETL pipelines

Technologies you will use

SQL
Python
R
GitHub

A day in the life

As part of the Ads Science Product Team, you will work with business leaders and engineers to develop a cohesive data architecture that enables consistent data logging across varying grains and supports data interoperability from bid flow through optimization to campaign delivery. You will analyze the data and share actionable insights through papers and ongoing reports, guiding decisions across product and engineering functions.

About the team

The Ads Science Product Team aims to apply objective analysis and business logic to uncover insights, inform strategic decisions, and adapt to industry changes. You will contribute to a mission that aligns data-driven recommendations with product development and market dynamics.

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6d ago

Data Engineer II

Amazon.com Services LLC Austin, TX

Austin, TX

6d ago

$132k - $179k/yr Full time Analytics AWS Big Data

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Job Description

Join Amazon’s OTS Data ANCHOR team as a Data Engineer II and help sculpt the data foundation for AI-driven operational insights across Amazon’s global fulfillment and maintenance networks. Based onsite in Austin, TX, this influential individual contributor role focuses on delivering scalable ETL and ELT pipelines, alongside AI-ready data infrastructure that powers automated reporting, diagnostics, and analytics at scale. The position carries a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and large-scale data infrastructure that support OTS operational intelligence.
Develop feature engineering workflows and ML-ready data pipelines to enable data science experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Assist in implementing GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Create and sustain semantic layers and dashboard data models that inform global operations decisions.
Collaborate with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to align work with OTS business goals.
Adhere to and help evolve best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience.
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience with data modeling, data warehousing, and building ETL pipelines.
Proven ability to deliver end-to-end projects independently.

Technologies

SQL, C++, C#, Java, Python, Golang, PowerShell, Ruby
Kafka, Kinesis, Flink, Storm, Beam

Benefits

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

Preferred Qualifications

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent.
Experience programming in at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby.
Knowledge of batch and streaming data architectures using systems like Kafka, Kinesis, Flink, Storm, or Beam.

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6d ago

Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

6d ago

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

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Job Description

Join Amazon's International Seller Services central analytics data engineering group to design scalable data and ML infrastructure powering GenAI applications.

Responsibilities

Provide technical leadership, drive data engineering initiatives, and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
Work with large datasets, organizing and curating data for analytics with a strategic, long term view on architecting advanced data ecosystems.
Build efficient and scalable data services and integrate data systems with AWS tools and services to support diverse customer use cases and applications.
Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
Implement data ingestion routines using best practices in data modeling and ETL/ELT processes by leveraging AWS technologies and big data tools.
Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible data architecture.
Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
Identify opportunities to improve existing data solutions and drive continuous enhancements.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
3+ years of data engineering experience.
Experience with data modeling, warehousing, and building ETL pipelines.
1+ years developing and operating large-scale data structures for business intelligence analytics, including ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
3+ years of non internship data engineering experience.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Oracle
SQL

Compensation

USD 132,100 - 178,800 per year

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement coverage
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Basic Life & AD&D insurance
Supplemental life plans

Description

Based in Seattle, WA onsite, join Amazon's International Seller Services Central Analytics Data Engineering team, tackling modern data challenges by blending traditional engineering practices with transformative analytics and GenAI.

ISS is seeking a motivated, experienced Data Engineer to help design and build the next generation of data and ML infrastructure to power GenAI applications.

We collaborate with Applied Scientists, Data Scientists, and Economists to translate ML research into scalable products that serve customers around the world.