DataJobs.io - Jobs in data science, machine learning and analytics.

Latest Jobs

29d ago

Data Engineer II

Amazon Development Center U.S., Inc. Bellevue, WA

Bellevue, WA

29d ago

$132k - $179k/yr Full time Analytics AWS Aws Glue

Apply Now

Job Description

The Data Engineer II role centers on building and maintaining data warehouse and data lake infrastructure and BI applications using the AWS big data stack. The position encompasses developing and managing ETLs, creating unified data models for analytics, delivering dashboards for executive insight, enabling self-serve analytics across internal users, and mentoring fellow engineers.

Location and Compensation

Location: Bellevue, WA (onsite). Salary: USD 132,100 - 178,800 per year.

Responsibilities

Design, implement, and support data warehouse and data lake infrastructure using the AWS big data stack, including Python, Redshift, QuickSight, Glue/Lake Formation, EMR/Spark/Scala, and Athena.
Develop and manage ETL/ELT pipelines to source data from diverse commercial, sales, and operational systems, establishing a unified analytics data model.
Utilize business intelligence tools such as QuickSight to create dashboards consumed by senior leadership.
Enable self-serve analytics for technical and non-technical internal customers and provide ad hoc reporting support as needed.
Develop a deep understanding of extensive data sources to determine when and which data to use to solve specific business problems.
Collaborate with Product Managers, Finance, Service Engineering Teams, and Sales Teams to support new analytics requirements on a day-to-day basis.
Manage multiple requests concurrently with prioritization as needed.
Partner with cross-functional teams to deliver outcomes and drive results.
Mentor other engineers, positively influence team culture, and contribute to team growth.

Requirements

5+ years of data engineering experience.
3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
3+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
Experience with data modeling, warehousing, and building ETL pipelines.

Technologies

Python
Redshift
QuickSight
Glue
Lake Formation
EMR
Spark
Scala
Athena
S3
Kinesis
Firehose
Lambda
IAM

Benefits

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

View full job page →

29d ago

Data Engineer, AMZL Orbit Data Engineering

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

29d ago

$132k - $179k/yr Full time Analytics AWS Aws Glue

Apply Now

Job Description

Onsite in Bellevue, WA, Amazon.com Services LLC seeks a Data Engineer for the AMZL Orbit Data Engineering team, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect and deploy real-time analytics platforms using big data tools and AWS services such as Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, and DynamoDB Streams.
Develop data models, design ETL pipelines, and enable business intelligence workflows; collaborate with stakeholders to identify strategic opportunities where data infrastructure upgrades deliver substantial business impact.
Operate as a proactive contributor in a fast-paced, global team, comfortable with ambiguity, and able to think holistically while delivering precise, reliable results.

Requirements

Minimum of 3 years of data engineering experience.
Experience in data modeling, data warehousing concepts, and building end-to-end ETL pipelines.

Technologies

Hadoop
Spark
EMR
SNS
SQS
Lambda
Kinesis Firehose
DynamoDB Streams
Redshift
S3
AWS Glue
IAM roles and permissions

Benefits

Sign-on rewards and restricted stock units (RSUs).
Health coverage including medical, dental, vision, and prescription benefits.
Basic Life and AD&D insurance with optional supplemental life plans available.
Employee Assistance Program plus mental health support and a medical advice line.
Flexible Spending Accounts (FSA).
Adoption and surrogacy reimbursement programs.
401(k) plan with company matching contributions.
Paid time off and parental leave policies.

View full job page →

29d ago

Sr. Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

29d ago

$155k - $209k/yr Full time Python Senior AWS

Apply Now

Job Description

Amazon.com Services LLC is seeking a Senior Data Engineer to join the APIX squad in Seattle, onsite. This role centers on owning the team’s data architecture and delivering scalable, AI-ready data infrastructure across Central Lakehouse, Cortex, and CMM, while mentoring engineers and shaping governance standards. The position offers a salary range of USD 154,600 to 209,100 per year and requires a minimum of five years of data engineering experience.

Responsibilities

Own the team’s data architecture with a system-wide perspective, anticipating data access patterns and proactively removing bottlenecks across Central Lakehouse, Cortex, and CMM.
Design and deliver large-scale data solutions that are secure, maintainable, scalable, and extensible, enabling others to contribute and build on your work.
Lead architectural improvements that simplify complex data systems, addressing deficiencies where your architecture bottlenecks other teams across PXT’s 20 data lakes.
Make architectural trade-offs such as build versus buy, tiered storage strategies, and data abstraction patterns, balancing short-term needs with long-term business requirements for Amazon’s people data ecosystem.
Tackle ambiguous problems and steer technical strategy in areas where Golden Dataset onboarding, metadata enrichment, and AI contextualization require direction.
Identify and resolve complex data engineering challenges including data duplication across 264 redundant warehouses, inconsistent metric definitions, and governance gaps across federated data lakes.
Influence team technical and business strategy for PXT Data Strategy workstreams, providing context for current and future technology choices in AWS-first data platform adoption.
Build consensus when views diverge on data-architecture approaches, exercising judgment on when to leverage existing solutions versus building new capabilities.
Deliver high-impact data solutions at Amazon scale by designing scalable pipelines, ETL processes, and data abstraction layers supporting the Central Lakehouse, Cortex Data Plane APIs, and self-service CMM capabilities.
Architect solutions handling large volumes of people data across 17,000+ applications, optimizing data quality, availability, latency, security, performance, and integrity.
Reduce manual data preparation effort by 60-80% through intelligent data vending, contextualized metadata, and automated dataset onboarding workflows.
Deliver data infrastructure that enables AI-powered insights (Clarity Assist, Quick Suite integration) with over 90% query accuracy.
Drive engineering best practices and governance by setting standards for data discovery, naming conventions, operational excellence, data security, and code quality across PXT data teams.
Lead implementation of systematic governance through integration with FPDS primitives (DISAPERE, Maple, UBX), enabling policy-driven data classification, automated depersonalization, and cell-level access control.
Collaborate with AWS BDT, Security, and FPDS teams to influence roadmaps for SageMaker Unified Studio, Andes External Tables, and Quick Suite integration, addressing multiple feature gaps.
Ensure all data solutions comply with Amazon’s privacy standards, GDPR/DSAR requirements, and Red certification processes for sensitive people data.

Requirements

5+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Experience with big data technologies such as Hadoop, Hive, Spark, EMR
Experience operating large data warehouses

Technologies

Python
Java
Scala
NodeJS
Hadoop
Hive
Spark
EMR
Andes
Athena
Glue
Redshift
SageMaker Unified Studio
FPDS primitives (DISAPERE, Maple, UBX)
Andes External Tables
Cortex Data Plane APIs
Quick Suite
QuickSight

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Adoption and Surrogacy Reimbursement coverage
Basic Life & AD&D insurance
Option for Supplemental life plans
Employee Assistance Program (EAP)
Mental Health Support
Medical Advice Line
Flexible Spending Accounts

About the Team

Meet the behind the scenes team that enables our Operations and Human Resource Leaders to make informed decisions. The Amazon Clarity team builds reporting and analytics tools for our teams that fulfill customer promise every day. Whether it is Fulfillment Center team that delivers your Prime order in two days, our Amazon Locker team that lets you pick up your package anytime that is convenient for you, our Prime Now team getting you lunch in under an hour, or one of many more, the PeopleInsight

View full job page →

29d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

29d ago

$132k - $179k/yr Full time Analytics Artificial Intelligence AWS

Apply Now

Job Description

Data Engineer II to build and scale the data infrastructure for Amazon's North American Surface Transportation Linehaul network, designing data pipelines, analytical platforms, and AI powered tools used by operations leaders to monitor performance and drive decisions.

Location

Salary

USD 132,100 - 178,800 per yearly

Responsibilities

Design and maintain scalable data pipelines that ingest and transform operational metrics from sources like Andes, Datanet, and Redshift using SparkSQL, Cradle, and AWS services (Glue, Lambda, S3, Step Functions).
Build and extend AI powered analytical applications using AWS Bedrock, DynamoDB, and Python that generate automated performance summaries and insights.
Own data modeling for new metric onboarding, drive migration of legacy SQL workloads to modern platforms, manage infrastructure-as-code with AWS CDK across gamma and production environments, and implement monitoring, alerting, and validation frameworks to ensure pipeline reliability.
Collaborate with operations leaders and data scientists to translate business needs into data solutions that scale.

Requirements

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
3+ years of data engineering experience
Minimum experience: 1 year
1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
Experience with data modeling, warehousing and building ETL pipelines

Technologies

Andes
Datanet
Redshift
SparkSQL
Cradle
AWS Glue
AWS Lambda
Amazon S3
AWS Step Functions
AWS Bedrock
DynamoDB
Python
AWS CDK
SQL
EMR
Kinesis
Firehose
IAM (roles and permissions)

Benefits

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
Parental leave
Sign-on payments
Restricted stock units (RSUs)

About the Team

NAST CX Tech sits within Amazon Transportation Services and builds the data and analytics platforms that power operational decision-making for North American Surface Transportation. Our flagship product, Cortex Scribe, is an AI-powered platform that automatically generates performance summaries, deep-dive analyses, and weekly flash reports used by operations leaders across the network. We operate at the intersection of data engineering, applied AI, and operational analytics building tools that t

View full job page →

29d ago

Data Engineer, Ring Agent Platforms

Amazon.com Services LLC Hawthorne, CA

Hawthorne, CA

29d ago

$132k - $179k/yr Full time Ai Workflows Analytics Artificial Intelligence

Apply Now

Job Description

Location Hawthorne, CA onsite; salary USD 132,100 to 178,800 per year; minimum experience 3+ years.

Responsibilities

Design, build, and operate the data pipelines, models, and Ring data platform that enable analytics, science, and AI initiatives.
Own the full data lifecycle from ingestion through delivery, including transformation, modeling, quality enforcement, and delivery, ensuring reliable, well structured data at scale for analysts, researchers, and AI systems.
Leverage AI development IDEs and generative AI tooling daily to accelerate work and develop multi agent solutions that automate common data engineering tasks such as pipeline creation, data quality checks, testing, and incident response.
Convert repeatable processes into agent driven workflows to boost velocity and consistency across the team.
Contribute to the shared data platform as needed, improving developer tooling, maintaining infrastructure, and supporting services relied upon by the broader data organization.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Proficiency in SQL
Experience with software development life cycle practices including code reviews, source control, CI/CD, testing, and operational support
Demonstrated use of generative AI tools in a professional or project setting (eg, agentic coding assistants, AI powered IDEs)
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non relational databases or data stores (object storage, document or key value stores, graph databases, column family databases)
Experience designing or building AI agents or multi agent solutions that automate engineering workflows
Familiarity with agentic AI patterns including tool use, function calling, and multi agent orchestration
Familiarity with at least one agentic AI development IDE
Experience building or maintaining shared data models, semantic layers, or data contracts
Familiarity with data governance, cataloging, or lineage tracking
Experience contributing to shared platform infrastructure, developer tooling, or self service data services
Familiarity with observability tooling for data pipelines including logging, metrics, and alerting

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM

Benefits

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

View full job page →

29d ago

Data Engineer I

Amazon.com Services LLC Austin, TX

Austin, TX

29d ago

$101k - $160k/yr Full time Data Data Engineer Engineer

Apply Now

Job Description

This role is with Amazon.com Services LLC on the OTS Data ANCHOR team, focused on building scalable data infrastructure and ETL/ELT pipelines to enable AI-driven operational and business insights across Amazon's global fulfillment and operations. This is an onsite position based in Austin, Texas.

Responsibilities

Design, build, and maintain production-grade ETL/ELT pipelines and large-scale data infrastructure to support OTS operational intelligence.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of automated reporting, diagnostics, predictive analytics, and prescriptive analytics.
Develop and maintain semantic layers and dashboard data models that inform worldwide operations decisions.
Collaborate with Program Managers, BI teams, Data Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
Adhere to and contribute to data engineering best practices, including code reviews, testing, monitoring, and documentation.

Requirements

Bachelor's degree or higher in Computer Science, Computer Engineering, Information Management, Information Systems, or a related discipline, or current progress toward such a degree.
Experience as a data engineer or in a related role (e.g., software engineer, BI engineer, data scientist) with a track record of manipulating, processing, and deriving value from large datasets.
1+ years of experience analyzing and interpreting data with tools such as Redshift, Oracle, NoSQL, etc.
Experience with data modeling, data warehousing, and building ETL pipelines.
Proficiency with one or more query languages (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
Proficiency with one or more scripting languages (Python, KornShell).
Knowledge of general AI tools.

Technologies

Redshift
Oracle
NoSQL
SQL
PL/SQL
DDL
MDX
HiveQL
SparkSQL
Scala
Python
KornShell
Hadoop
Hive
Spark
EMR
S3
AWS Glue
Kinesis
Firehose
Lambda
IAM
Tableau
AWS QuickSight
Cognos

Benefits

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

Location

Austin, TX onsite

Salary

USD 101,300 - 160,000 per year

View full job page →

29d ago

Data Engineer II

Amazon.com Services LLC Seattle, WA

Seattle, WA

29d ago

$132k - $179k/yr Full time Cloud Operations Data Data Architecture

Apply Now

Job Description

Amazon's International Stores Finance Central Engineering team is seeking a data-minded engineer to design and build intricate ETL pipelines and analytics solutions powering data-driven decisions across Amazon’s rapidly expanding international business. This Seattle-based onsite role focuses on steering the technical design, development, and deployment of a new global finance data system, while mentoring junior engineers and establishing coding standards to ensure deliverables meet high quality expectations. The position carries a salary range of USD 132,100 to 178,800 per year.

Responsibilities

5+ years as a Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Experience leading and influencing the data strategy of your team or organization
Experience in SQL
A Bachelor's degree in Computer Science or similar major
Hands-on experience leading delivery and operations of distributed, high quality systems
Fundamentals in data structures, algorithm, problem solving, and complexity analysis

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience working on and delivering end to end projects independently

Technologies

AWS
Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
SQL

Benefits

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

Description

The International Stores Finance Central Engineering team is looking for a motivated, solution-focused Data Engineer to craft and deploy complex ETL pipelines and analytics solutions that support data-driven choices across Amazon’s international footprint. You will guide the technical design, development, and rollout of a new finance data system intended to serve global finance needs, delivering data as a service that informs day-to-day decisions.

Basic Qualifications

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience working on and delivering end to end projects independently

Preferred Qualifications

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)