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

Latest Jobs

2mo ago

Data Engineer

Amazon.com Services LLC Austin, TX

Austin, TX

2mo ago Closed

$126k - $179k/yr Full time Amazon S3 Analytics AWS

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

Job Description

Data Engineer at Amazon.com Services LLC onsite in Austin, TX offers the opportunity to build scalable data pipelines and ML ready infrastructure that enable GenAI powered analytics across Amazon's Operations Technology ecosystem. The role provides a competitive salary range and on-site collaboration in a dynamic environment. Salary: USD 125,500 - 178,800 per year. Location: Austin, TX.

Benefits

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

Role overview

The Data Engineer will design, build, and maintain production grade ETL and ELT pipelines alongside big data infrastructure that underpins operational intelligence for the Operations Technology stack. You will create ML ready data pipelines and feature engineering workflows to support Data Science experimentation and production model serving. You will contribute to data governance and quality standards and help implement GenAI driven reporting, diagnostics, predictions, and prescriptive analytics. You will also shape semantic layers and dashboard data models that guide global operations decisions, collaborating with program managers, BI teams, ML engineers, data scientists, and operational stakeholders to align work with OTS goals.

Responsibilities

Design, build, and maintain production grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
Develop feature engineering workflows and ML ready data pipelines for experimentation and production model serving.
Contribute to data governance and quality standards across analytical and ML data products.
Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
Build and maintain semantic layers and dashboard data models that power worldwide operations decisions.
Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS goals.
Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

3+ years of data engineering experience
3+ years developing and operating large-scale data structures for business intelligence analytics using data modeling experience
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
Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Bachelor's degree or above in computer science, machine learning, engineering, or related fields, or equivalent experience building and maintaining data flows and pipelines
Proficiency in Python and SQL; experience with PySpark or Apache Spark
Experience with infrastructure as code (CDK, CloudFormation) and CI/CD pipelines for data and ML systems
Experience with data modeling and relational/non-relational database design

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Python
SQL
PySpark
Apache Spark
CDK
CloudFormation

View full job page →

2mo ago

Data Engineer II, Professional Services Strategy & Operation, Analytics & Insights Center (PAIC)

Amazon Web Services, Inc. Irvine, CA

Irvine, CA

2mo ago Closed

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

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

Job Description

The Data Engineer II role within AWS Professional Services Strategy & Operation (PAIC) focuses on building and scaling data products and pipelines. This position owns the data platform to empower analytics and AI/ML capabilities for internal customers across the organization.

Location

Irvine, California, onsite

Responsibilities

Develop and support ETL pipelines with robust monitoring and alerting
Design data models optimized for business needs and aggregation
Create and optimize data tables using best practices for partitioning, compression, and parallelization
Build scalable data integration pipelines using SQL, Python, and AWS services such as Glue, Lambda, and Step Functions
Implement data structures following best practices in data modeling, ETL/ELT processes, and SQL/Redshift
Collaborate with business customers to gather requirements and deliver comprehensive reporting solutions
Continuously improve reporting and analysis workflows while automating self-service support for customers
Investigate and adopt the latest AWS technologies to enable new capabilities and improve efficiency
Work closely with business owners, analysts, and BI Engineers to explore new data sources and deliver new data products

Requirements

3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
Experience with SQL and Python scripting
Experience applying data solutions within large-scale distributed systems (for example EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive)

Technologies

SQL
Python
AWS Glue
AWS Lambda
AWS Step Functions
Redshift
S3
EMR
Kinesis
Firehose
Hive
Hadoop
Spark
Pig
Elasticsearch

Benefits

Health coverage including medical, dental, vision, prescription drugs, and life/AD&D insurance with optional supplemental life plans
EAP and mental health support services
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage
401(k) matching
Paid time off and parental leave
Sign-on incentives and restricted stock units (RSUs)

A Day in the Life

You will contribute to an analytics platform that spans both a data warehouse and a data lake, supporting reporting, advanced analytics, and generative AI for a large global enterprise. On a day-to-day basis, you will build and maintain data pipelines, optimize queries, and ensure platform reliability. Collaboration with data engineers, BI engineers, and data scientists will be routine to deliver accurate, timely data. The role extends beyond traditional data engineering, with responsibility for CI/CD pipelines and managing associated infrastructure to support ongoing data product delivery.

View full job page →

2mo ago

Senior Machine Learning Engineer

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

Seattle, WA

2mo ago Closed

$193k - $262k/yr Full time Backend Developer Senior Ai Workflows

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

Job Description

Senior Machine Learning Engineer to lead GenAI UX initiatives and the GenAI-powered Venue and Arena platform for AWS customers, onsite in Seattle, WA, with a salary range of USD 193,300 to 261,500 per year and a requirement of at least 5 years of professional software development experience.

Responsibilities

Backend integration focused on AI: connect systems to manage asynchronous data flows from large language models and other AI services.
Performance optimization: maximize speed and responsiveness of AI driven interfaces, especially for large datasets and real-time streaming outputs.
Own end-to-end system design, spanning backend services, APIs, data storage, and frontend integration.
Develop and evolve GenAI powered services that enable design generation, validation, and automation workflows.
Contribute to long term technical vision and architecture decisions.
Balance rapid delivery with scalable, maintainable system design.
Collaborate with internal teams to translate needs into robust technical solutions.
Contribute to hiring efforts, mentor junior engineers, and elevate engineering standards.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming experience in at least one programming language
5+ years designing or architecting new and existing systems for reliability and scalability
Experience as a mentor, tech lead, or leading an engineering team
Experience with emerging generative and agentic technologies
Experience in machine learning and data science

Technologies

Bedrock
Kiro
Claude

Benefits

Health insurance including medical, dental, vision, and prescription coverage
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
401(k) with matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Preferred Qualifications

Bachelor's degree in computer science or equivalent
Experience with full software development lifecycle including coding standards, code reviews, source control, build processes, testing and operations
Experience with agentic orchestration
Prior experience with AWS applications is a plus
Experience with Bedrock, Kiro, or Claude is a plus

View full job page →

2mo ago

Data Analyst II, Strategic Pipelines (226 Days)

Dallas Independent School District Dallas, TX

Dallas, TX

2mo ago Closed

$75k - $91k/yr Full time Analyst Analytics Business Analytics

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

Job Description

Dallas Independent School District invites applicants for the Data Analyst II, Strategic Pipelines. This onsite, full-time role in Dallas, TX offers a salary range of USD 74,996 to 91,458 per year. The position strengthens recruitment and selection processes for educators and substitutes by ensuring data accuracy, developing reports and dashboards, and providing data-driven insights to guide hiring strategies.

Responsibilities

Oversee the collection, validation, and upkeep of applicant data to ensure accuracy, consistency, and compliance with district and state regulations.
Design and automate advanced dashboards, predictive models, and data pipelines that monitor recruitment and selection metrics such as candidate funnel efficiency, time-to-hire trends, applicant quality indicators, and substitute pool utilization.
Analyze hiring trends and outcomes to identify opportunities to improve recruitment strategies, diversity outreach, and candidate evaluation processes.
Collaborate with recruiters, hiring managers, and HR leadership to provide data that informs decision-making and supports staffing priorities.
Conduct ongoing data integrity audits and system reconciliations across multiple platforms, ensuring reliable information for compliance reporting and executive decision-making.
Translate complex data findings into clear, actionable insights for both technical and non-technical audiences.
Support compliance reporting related to staffing, equal employment opportunity, and state/federal requirements.
Contribute to continuous improvement of recruitment and selection processes through evidence-based recommendations.
Lead and partner on the design and implementation of new recruitment tools and methodologies in response to legislation changes.

Requirements

Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Administration, or a related field.
Minimum of 3 years of experience in data analysis, preferably within an HR context.
Proficiency in data analysis tools and software such as Excel, SQL, Tableau, and Power BI.
Strong analytical skills with the ability to interpret complex data and present findings clearly.
Experience with data management systems and an understanding of data governance.
Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Technologies

Excel
SQL
Tableau
Power BI
R
SPSS

Location

Human Capital Management, 9400 N Central Expressway, 14th Floor, Dallas, TX 75231

Employment Type

Full-time

Salary range: USD 74,996.00 – 91,458.00 per year

Posted: May 26, 2026

View full job page →

2mo ago

Data Analyst, Implementation Office

Cleveland Metropolitan School District Cleveland, OH

Cleveland, OH

2mo ago Closed

$62k - $86k/yr Full time Administrative Support Analyst Analytics

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

Job Description

Support data collection, analysis, reporting, and KPI development within CMSD to inform district policy and practice.

Location: Cleveland, OH (onsite) • Salary: USD 61,510 - 86,114 per year • Education: BA/BS

Responsibilities

Analyze and summarize school and student data to guide policy decisions and classroom practice.
Assemble data and generate reports in response to internal and external requests.
Contribute to advanced analytics tasks as needed, including predictive modeling, machine learning, and sample matching.
Prepare presentations that translate complex analyses for diverse audiences.
Provide administrative and communications support essential to implementing the REA strategy and plans.
Collaborate with internal stakeholders to establish standard processes for accessing and examining internal data systems.

Requirements

BA/BS with experience in data analysis, statistical reporting, or similar data-rich work; 1-2 years of experience preferred.
Experience using quantitative skills to transform large datasets with statistical tools (R, Stata) and/or database programs (Microsoft SQL Server).
Experience working with large datasets from multiple source systems.
Excellent communication and interpersonal skills and the ability to interact with people at all levels.
Experience with data visualization tools (PowerBI, Tableau) a plus.
Interest in using and developing quantitative data analysis skills.
Tenacity, resourcefulness, and the ability to interact effectively with people to obtain information and cooperation.
Excellent organizational skills, the ability to balance multiple priorities, and relentless attention to detail.
Personal sense of accountability for the success of Cleveland students.
Sense of urgency balanced by sensitivity for good process and meaningful results.
Comfort with the challenges of shaping new work.

Technologies

R
Stata
Microsoft SQL Server
PowerBI
Tableau

How to apply

Submit your resume and application via Workday, CMSD's online human capital management system.
Employment offers are contingent upon successful FBI/BCI background check and drug screen.

Equal Opportunity

CMSD provides equal opportunities for employment, retention and advancement of all personnel by administering all terms and conditions of employment regardless of race, color, ethnicity, ancestry, national origin, sex, disability or genetic information, age, citizenship status, military status.

View full job page →

2mo ago

Business Data Analyst -Project Delivery Senior Analyst - AI & Engineering

Deloitte Miami, FL

Miami, FL

2mo ago Closed

$69k - $127k/yr Full time Analyst Analytical Skills Analytics

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

Job Description

The Business Data Analyst - Project Delivery Senior Analyst with a focus on AI and Engineering is based onsite in Miami, FL. This role involves capturing analytics requirements, delivering agile data work, and supporting BI and reporting on client projects at Deloitte.

Responsibilities

Collaborate with product owners and business stakeholders to capture analytics needs, clarify scope, define assumptions, and document problem statements and success metrics.
Translate requirements into Agile/SAFe artifacts, including epics, features, user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning, reviews, retrospectives, and cross-team coordination.
Provide ad hoc analyses and rapid reporting to yield directional insights; develop lightweight dashboards using Tableau or Power BI when appropriate; work with BI and reporting developers to scale high-usage reports.
Support recurring analyses and reports (monthly, biweekly, weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.
Coordinate and support UAT and release/change activities, including dependency tracking, risk and issue management, and stakeholder communications in alignment with client governance processes.
Maintain regular communication with Engagement Managers, project teams, and representatives from various functional and technical groups, escalating matters as needed for engagement management review.

Requirements

4+ years of experience in analytics with strong data skills, including the ability to frame ambiguous questions, SQL proficiency for querying and validating datasets, and advanced Excel usage.
4+ years of experience with BI tooling, hands-on with Tableau and/or Power BI to build or enhance reports and dashboards; solid understanding of metrics, KPI definitions, and dashboard usability.
4+ years of experience in structured storytelling using PowerPoint presentations.
4+ years of familiarity with the Snowflake data platform.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or a related IT discipline; or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel up to 10 percent, depending on the work and client assignments.

Technologies

Tableau
Power BI
SQL
Excel
Snowflake
PowerPoint

Benefits

Benefits package competitive for project delivery-focused professionals
Discretionary annual incentive program

Compensation

Salary: USD 69,000 - 127,000 per year

View full job page →

2mo ago

Data Analyst - Supply Chain

Home Depot / THD Atlanta, GA

Atlanta, GA

2mo ago Closed

Full time Analyst Analytics Business Analytics

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

Job Description

Data Analyst - Supply Chain role at Home Depot/THD, onsite in Atlanta, GA, focused on translating complex analytics into actionable insights to support supply chain decisions under supervision.

Responsibilities

30% Executes existing reporting and analytical responsibilities to support ongoing supply chain operations.
20% Builds new dashboards and reports using data analytics tools and handles ad hoc requests as needed.
20% Maintains high quality output with meticulous attention to detail.
20% Expands technical competencies and gains subject matter expertise within the core functional area.
10% Presents findings in clear, accessible formats and connects analytics to the bigger business context.

Requirements

Minimum 18 years of age.
Must be legally permitted to work in the United States.

Technologies

SQL
SQL Server
Teradata
Oracle

Travel Requirements

Overnight travel typically less than 10% of the time.

Physical Requirements

Primarily sedentary; frequent opportunities to move about. Rare occasions may require lifting light articles.

Working Conditions

Located in a comfortable indoor area; any unpleasant conditions would be infrequent and not objectionable.

Preferred Qualifications

Experience with SQL Server, Teradata, Oracle, or comparable database systems
1-3 years of work experience in data mining, statistical analysis, auditing, and/or forecasting
Direct experience analyzing the relevant subject matter such as Supply Chain, Merchandising, or Operations
Bachelor's degree in Computer Science, Mathematics, Engineering, Finance, or a related quantitative field

Competencies

Critical thinking to evaluate strengths and weaknesses of alternative solutions and anticipate implications for problem solving
Strong intellectual curiosity to uncover the underlying story within the data
Clear written and verbal communication skills with the ability to persuade, inform, and translate complex results into understandable narratives
Excellent interpersonal skills and a collaborative, team-oriented approach
Ability to quickly learn and adapt to new technologies, tools, and techniques