Product Data Engineering Intern Job at Hewlett Packard Enterprise (Aguadilla)

Data Engineer, 2025/2026 Intern

Join Atlassian as an intern and spend your summer with us having an impact on ho...

Location

Australia , Sydney

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Be currently enrolled in a Bachelors or Masters program in Software Engineering, Computer Science or other related technical field and completing your studies before January 2027
Experience programming with Python, or other related object-oriented programming languages
Knowledge of data structures, in particular how they are implemented and how to apply them to meet data challenges
Proficiency in SQL and relational databases experience
Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects

Job Responsibility

Influence product teams
inform Data Science and Analytics Platform teams
partner with data consumers and products to ensure quality and usefulness of data assets
help strategize measurement
collecting data
generating insights

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Product Design Engineer Intern

As a member of the Product Design Team, you will work on meaningful projects tha...

Location

United States , San Mateo

Salary:

41.00 - 58.00 USD / Hour

Skydio

Expiration Date

Until further notice

Requirements

Relentless curiosity
Ability to leverage rock solid fundamentals to create exceptional designs for complicated products
Passion for elegant mechanical design at the highest and lowest levels of detail that will delight customers
Experience with 3D CAD
Familiarity with CATIA is highly valued

Job Responsibility

Conquer challenges creatively with a scrappy mindset
Design parts for next generation prototypes
Chase down the root cause of mission critical issues on existing or developing products
Find solutions with engineering design or manufacturing process changes
Validate your solutions with hands-on prototyping, testing, and data collection
Communicate with a cross functional team of engineers and suppliers around the globe
Present your work in design reviews and learn from senior members of our team

Product Engineer Intern

We’re looking for an Product Engineer Intern to join our newly formed R&D squad....

Location

France , Paris

Salary:

1300.00 - 1500.00 EUR / Month

Beamy

Expiration Date

Until further notice

Requirements

You're french speaking (native)
You are in Bac +4 or Bac +5 of engineering school (Ecole Polytechnique, Télécom Paris, Centrale Supélec…)
You thrive in uncertain, exploratory environments and enjoy solving open-ended problems. Brain-teasers don’t frighten you
You’re a fast learner who enjoys picking up new tools, languages, and methodologies.
You love rapid prototyping and can balance speed with technical rigor.
You enjoy working with data, AI, software eng. and tech in its globality to create impactful features in our product
You want to join an innovative and fast growing company that aims at climbing mountains

Job Responsibility

Prototype and validate new ideas: Develop quick, functional proofs of concept to test innovative product features.
Use cutting edge techs: Apply AI, NLP, and automation to enrich our 50K+ SaaS catalog and improve detection accuracy or behaviours triggers in our extension
Explore new interaction paradigms: Develop new ways for our users to interact with our web browser extension, via AI, contextual notifications etc
Extract insights from massive datasets: Work with our data stack (BigQuery, dbt, python) to identify patterns and trends in SaaS usage across large enterprises.
Balance speed & quality: Deliver POCs quickly while ensuring a smooth handoff to the core engineering team for productionization.
End-to-end prototyping: From ideation and research to developing MVPs and testing feasibility.
Exploration roadmap: Work closely with product and leadership to identify promising innovation areas.
Technical decision-making: Choose the right tools and architectures to validate hypotheses efficiently.
Cross-team collaboration: Share insights with engineering, data, and product teams to inform long-term strategy.

What we offer

Mentorship: Direct guidance from experienced developers
Real Impact: Work on actual product features and contribute to the company's growth
Benefits: Swile

Fulltime

Data Engineer, Enterprise Data, Analytics and Innovation

Are you passionate about building robust data infrastructure and enabling innova...

Location

United States

Salary:

110000.00 - 125000.00 USD / Year

Vaniam Group

Expiration Date

Until further notice

Requirements

5+ years of professional experience in data engineering, ETL, or related roles
Strong proficiency in Python and SQL for data engineering
Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform
Practical understanding of Medallion architectures and layered data design
Familiarity with modern data stack tools, including: Spark or PySpark
Workflow orchestration (Airflow, dbt, or similar)
Testing and observability frameworks
Containers (Docker) and Git-based version control
Excellent communication skills, problem-solving mindset, and a collaborative approach

Job Responsibility

Design, build, and operate reliable ETL and ELT pipelines in Python and SQL
Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture
Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless
Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets
Develop schemas, tables, and views optimized for analytics, APIs, and product use cases
Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains
Maintain clear and consistent documentation for datasets, pipelines, and operating procedures
Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core
Partner with product and innovation teams to build repeatable processes for onboarding new data streams
Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

What we offer

100% remote environment with opportunities for local meet-ups
Positive, diverse, and supportive culture
Passionate about serving clients focused on Cancer and Blood diseases
Investment in you with opportunities for professional growth and personal development through Vaniam Group University
Health benefits – medical, dental, vision
Generous parental leave benefit
Focused on your financial future with a 401(k) Plan and company match
Work-Life Balance and Flexibility
Flexible Time Off policy for rest and relaxation
Volunteer Time Off for community involvement

Fulltime

Staff Data Engineer

As a Staff Data Engineer, you will be leading the architecture, design and devel...

Location

United States; Canada , Remote

Salary:

Not provided

1Password

Expiration Date

Until further notice

Requirements

Minimum of 8+ years of professional software engineering experience
Minimum of 7 years technical engineering experience building data processing applications (batch and streaming) with coding in languages
In-depth, hands-on experience on extensible data modeling, query optimizations and work in Java, Scala, Python, and related technologies
Experience in data modeling across external facing product insights and business processes, such as revenue/sales operations, finance, and marketing
Experience with Big Data query engines such as Hive, Presto, Trino, Spark
Experience with data stores such as Redshift, MySQL, Postgres, Snowflake, etc.
Experience using Realtime technologies like Apache Kafka, Kinesis, Flink, etc.
Experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP with extensive use of datastores like RDBMS, key-value stores, etc.
Experience leveraging distributed systems at scale and systems knowledge on infrastructure hardware, resources bare-metal hosts to containers to networking.

Job Responsibility

Design, develop, and automate large-scale, high-performance batch and streaming data processing systems to drive business growth and enhance product experience
Build data engineering strategy that supports a rapidly growing tech company and aligns with the priorities across our product strategy and internal business organizations’ desire to leverage data for more competitive advantages
Build scalable data pipelines using best-in-class software engineering practices
Develop optimal data models for storage and retrieval, meeting critical product and business requirements
Establish and execute short and long-term architectural roadmaps in collaboration with Analytics, Data Platform, Business Systems, Engineering, Privacy and Security
Lead efforts on continuous improvement to the efficiency and flexibility of the data, platform, and services
Mentor Analytics & Data Engineers on best practices, standards and forward-looking approaches on building robust, extensible and reusable data solutions
Influence and evangelize high standard of code quality, system reliability, and performance.

What we offer

Maternity and parental leave top-up programs
Generous PTO policy
Four company-wide wellness days
Company equity for all full-time employees
Retirement matching program
Free 1Password account
Paid volunteer days
Employee-led inclusion and belonging programs and ERGs
Peer-to-peer recognition through Bonusly

Fulltime

Senior Data Engineer

As a Senior Software Engineer, you will play a key role in designing and buildin...

Location

United States

Salary:

156000.00 - 195000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

5+ years experience in platform engineering, data engineering or in a data facing role
Experience in building data applications
Deep knowledge of data eco system with an ability to collaborate cross-functionally
Bachelor's degree in a quantitative field (Physical / Computer Science, Engineering or Mathematics / Statistics)
Excellent communication skills
Self-motivated and self-directed
Inquisitive, able to ask questions and dig deeper
Organized, diligent, and great attention to detail
Acts with the utmost integrity
Genuinely curious and open

Job Responsibility

Architect and build robust, scalable data pipelines (batch and streaming) to support a variety of internal and external use cases
Develop and maintain high-performance APIs using FastAPI to expose data services and automate data workflows
Design and manage cloud-based data infrastructure, optimizing for cost, performance, and reliability
Collaborate closely with software engineers, data scientists, analysts, and product teams to translate requirements into engineering solutions
Monitor and ensure the health, quality, and reliability of data flows and platform services
Implement observability and alerting for data services and APIs (think logs, metrics, dashboards)
Continuously evaluate and integrate new tools and technologies to improve platform capabilities
Contribute to architectural discussions, code reviews, and cross-functional projects
Document your work, champion best practices, and help level up the team through knowledge sharing

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA and medical, dental, and vision benefits

Fulltime

Lead Data Engineer

We're looking for a Lead Data Engineer to build the data infrastructure that pow...

Location

United States

Salary:

185000.00 - 225000.00 USD / Year

Zora

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, with at least 2 years in a technical leadership role
Strong proficiency in Python and SQL for building production data pipelines, complex data transformations and evolving data platforms, shared infrastructure, and internal tooling with engineering best practices.
Strong experience in designing, building, and maintaining cloud-based data pipelines using orchestration tools such as Airflow, Dagster, Prefect, Temporal, or similar.
Hands-on experience with cloud data platforms (AWS, GCP, or Azure) and modern data stack tools
Deep understanding of data warehousing concepts and experience with platforms like Snowflake, BigQuery, Redshift, or similar
Strong software engineering fundamentals including testing, CI/CD, version control, and writing maintainable, documented code
Track record of optimizing data systems for performance, reliability, and cost efficiency at scale
Excellent communication skills and ability to collaborate with cross-functional teams including product, engineering, and design

Job Responsibility

Design and build scalable data pipelines to ingest, process, and transform blockchain data, trading events, user activity, and market signals at high volume and low latency
Architect and maintain data infrastructure that powers real-time trading analytics, P&L calculations, leaderboards, market cap tracking, and liquidity monitoring across the platform
Own ETL/ELT processes that transform raw onchain data from multiple blockchains into clean, reliable, and performant datasets used by product, engineering, analytics, and ML teams
Build and optimize data models and schemas that support both operational systems (serving live trading data) and analytical use cases (understanding market dynamics and user behavior)
Establish data quality frameworks including monitoring, alerting, testing, and validation to ensure pipeline reliability and data accuracy at scale
Collaborate with backend engineers to design event schemas, data contracts, and APIs that enable real-time data flow between systems
Partner with product and analytics teams to understand data needs and translate them into robust engineering solutions
Provide technical leadership by mentoring engineers, conducting code reviews, establishing best practices, and driving architectural decisions for the data platform
Optimize performance and costs of data infrastructure as we scale to handle exponentially growing trading volumes

What we offer

Remote-First Culture: Work from anywhere in the world!
Competitive Compensation: Including salary, pre-IPO stock options, token compensation, and additional financial incentives
Comprehensive Benefits: Robust healthcare options, including fully covered medical, dental, and vision for employees
Retirement Contributions: Up to 4% employer match on your 401(k) contributions
Health & Wellness: Free memberships to One Medical, Teladoc, and Health Advocate
Unlimited Time Off: Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness
Home Office Reimbursement: To cover home office items, monthly home internet, and monthly cell phone (if applicable)
Ease of Life Reimbursement: To cover everything from an Uber home in the rain, childcare, or meal delivery
Career Development: Access to mentorship, training, and opportunities to grow your career
Inclusive Environment: A culture dedicated to diversity, equity, inclusion, and belonging

Fulltime

Data Engineer

We are looking for a Data Engineer to scale our Data Operations team and help us...

Location

Spain , Barcelona

Salary:

Not provided

Yokoy

Expiration Date

Until further notice

Requirements

3+ years of relevant experience as a Data Engineer, Business Intelligence, Big-Data Engineer or similar role working with large-scale data systems
Excellent communication skills, both written and spoken, in English
Master in SQL, optimizing queries for performance, scalability, and ease of maintenance
Comfortable querying different types of databases (PostgreSQL, Redshift, Snowflake) and have knowledge of different AWS services
Ace at data modeling, accustomed to designing and implementing complex architectures with a constant eye on their future evolution while taking into account the needs of multiple users
Experience building data pipelines using Python
Experience integrating data from multiple sources including DBs, product tracking, and APIs
Instinct for automation
Desire to work in an international environment, with minimal direction, and with highly engaged individuals

Job Responsibility

Ensure we are able to keep all data in our DWH updated and accessible for analysis
Partner with the Data analysts to support the requirements of the company in terms of analytics, reliability and efficiency
Develop and maintain data pipelines to extract data from different sources and integrate it in the DWH following data modeling best practices
Take charge of the required data processing while ensuring sustainable and organic growth of the data model and the infrastructure
Keep our data infrastructure up to date and working like a clock
Integrate and model datasets from different sources
Support our Data Analysts & BI Developers to get the right data to build awesome dashboards and complex analytical models
Support Product and Analytics teams in defining the best approaches for data modeling
Use data to investigate and help resolve issues in our product or processes
Proactively suggest improvements to data reliability, efficiency and quality

What we offer

Competitive compensation including equity in the company
Generous vacation days so you can rest and recharge
Health perks such as private healthcare or gym allowance depending on your location
Flexible compensation plan to help you diversify and increase the net salary
Unforgettable TravelPerk events including to travel to one of our hubs
A mental health support tool for your wellbeing
Exponential growth opportunities

Fulltime

Product Data Engineering Intern

Hewlett Packard Enterprise

Location:
Puerto Rico , Aguadilla

Category:
IT - Administration

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
November 19, 2025

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November 19, 2025