CrawlJobs Logo

Data Infrastructure Engineer

intercom.com Logo

Intercom

Location Icon

Location:
Ireland , Dublin

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Data Infrastructure team builds distributed systems and tools supporting Intercom and empowering people with information. As the company grows, so does the volume and velocity of our data and the appetite for more-and-more sophisticated and specialized, often AI-assisted, data solutions. Our team builds, maintains, evolves, and extends the data platform, enabling our partners to self-serve by creating their own end-to-end data workflows, from ingestion through transforming data and evaluating experiments to analyzing usage and running predictive models. We provide a solid data foundation to support various highly impactful business and product-focused projects.

Job Responsibility:

  • Evolve the Data Platform by designing and building the next generation of the stack
  • Develop, run and support our data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS
  • Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs
  • Develop automation and tooling to support the creation and discovery of high quality analytics data in an environment where dozens of changes can be shipped daily
  • Implement systems to monitor our infrastructure, detect and surface data quality issues and ensure Operational Excellence

Requirements:

  • 3+ years of full-time, professional work experience in the data space using Python and SQL
  • Solid experience building and running data pipelines for large and complex datasets including handling dependencies
  • Hands-on cloud provider experience (preferably AWS) including service integrations and automation via CLI and APIs
  • Solid understanding of data security practices and are passionate about privacy
  • Some DevOps experience
  • You care about your craft

Nice to have:

  • Worked with Apache Airflow - we use Airflow extensively to orchestrate and schedule all of our data workflows. A good understanding of the quirks of operating Airflow at scale would be helpful
  • Experience or understanding of tools and technologies included in the modern data stack ( Snowflake, DBT )
  • Industry awareness of up-and-coming technologies and vendors
What we offer:
  • Competitive salary and equity in a fast-growing start-up
  • We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
  • Regular compensation reviews - we reward great work!
  • Pension scheme & match up to 4%
  • Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
  • Open vacation policy and flexible holidays so you can take time off when you need it
  • Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
  • If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
  • MacBooks are our standard, but we also offer Windows for certain roles when needed

Additional Information:

Job Posted:
December 27, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Infrastructure Engineer

Research Engineer, Data Infrastructure

As a Research Engineer in Data Infrastructure, you will design and implement a “...
Location
Location
United States , Palo Alto
Salary
Salary:
180000.00 - 250000.00 USD / Year
1x.tech Logo
1X Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in building data pipelines and ETL systems
  • Ability to design and implement systems that collect, upload, and manage data from robotic fleets
  • Familiarity with architectures combining on‑robot components, on‑premises clusters, and cloud systems
  • Experience with data labeling tools or building tooling for dataset visualization and annotation
  • Skills in creating or applying machine learning models for dataset organization / automated labeling
Job Responsibility
Job Responsibility
  • Optimize operational efficiency of data collection on the NEO fleet
  • Design triggers on the robot to determine if and when data should be uploaded
  • Automate ETL pipelines so fleet‑wide data is easily queryable and available for training
  • Work with external dataset providers to prepare diverse multi-modal pre-training datasets
  • Build frontend tools for visualizing and automating labeling of very large datasets
  • Develop machine learning models to automatically label and organize datasets
What we offer
What we offer
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and holidays
  • Fulltime
Read More
Arrow Right

Junior Data Infrastructure Engineer

As part of the Data Infrastructure team you will be supporting mission critical ...
Location
Location
United Kingdom , Brighton
Salary
Salary:
Not provided
brandwatch.com Logo
Brandwatch
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • An interest in how computer infrastructure actually works, and a passion for learning
  • Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
  • Experience with Linux systems administration, including experience of trouble shooting
  • Fluency with one or more scripting languages, ideally Bash or Python
  • Experience helping your peers
  • Pride in the quality of your work
Job Responsibility
Job Responsibility
  • Supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure
  • Development of tooling and operational support for our platforms
  • Help with staging support
  • Join the team supporting the production systems
  • Take a full part in the life of the team
  • Start designing the infrastructure we run
Read More
Arrow Right

Software Engineer, Data Infrastructure

The Data Infrastructure team at Figma builds and operates the foundational platf...
Location
Location
United States , San Francisco; New York
Salary
Salary:
149000.00 - 350000.00 USD / Year
figma.com Logo
Figma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering
  • Experience designing and building distributed data infrastructure at scale
  • Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster
  • A proven track record of impact-driven problem-solving in a fast-paced environment
  • A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems
  • Excellent technical communication skills, with experience working across both technical and non-technical counterparts
  • Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence
Job Responsibility
Job Responsibility
  • Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence
  • Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company
  • Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems
  • Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders
  • Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions
  • Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage
What we offer
What we offer
  • equity
  • health, dental & vision
  • retirement with company contribution
  • parental leave & reproductive or family planning support
  • mental health & wellness benefits
  • generous PTO
  • company recharge days
  • a learning & development stipend
  • a work from home stipend
  • cell phone reimbursement
  • Fulltime
Read More
Arrow Right

Data Infrastructure Engineer

This young, early-stage start-up challenger are currently looking for a hands-on...
Location
Location
United States , New York or DC
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
  • Designing and deploying intuitive, user-friendly APIs
  • Demonstrated ability to train and deploy models at scale
  • Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
  • Handling and securing large-scale production data
  • Demonstrated proficiency in Python, Go, or C
  • A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
  • A passion for innovation and a collaborative spirit
Job Responsibility
Job Responsibility
  • Developing secure data sharing middleware
  • Integrating software seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
  • Building, shipping and supporting mission critical services in support of the services that make up the Data platform
  • Providing solutions for the full data stack – from the data management, software development and model and deployment lifecycles
What we offer
What we offer
  • Competitive Salary + Equity
  • Fulltime
Read More
Arrow Right

Data Infrastructure Engineer

Data Infrastructure Engineer – New York or DC (hybrid) – Competitive Salary + Eq...
Location
Location
United States , New York or DC
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
  • Designing and deploying intuitive, user-friendly APIs
  • Demonstrated ability to train and deploy models at scale
  • Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
  • Handling and securing large-scale production data
  • Demonstrated proficiency in Python, Go, or C
  • A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
  • A passion for innovation and a collaborative spirit
Job Responsibility
Job Responsibility
  • Joining as part of the founding Engineering team, you will be a key part of developing secure data sharing middleware
  • Their software will integrate seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
  • The data infrastructure engineer requires a mix of software development and ML Ops practices, resulting in an exciting, fast paced engineering role
  • You will be able to demonstrate experience building, shipping and supporting mission critical services in support of the services that make up the Data platform
  • This role requires the ability to provide solutions for the full data stack – from the data management, software development and model and deployment lifecycles
What we offer
What we offer
  • Competitive Salary + Equity
  • Fulltime
Read More
Arrow Right

Data Infrastructure Engineer

This young, early-stage start-up challenger are currently looking for a hands-on...
Location
Location
United States , New York or DC
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
  • Designing and deploying intuitive, user-friendly APIs
  • Demonstrated ability to train and deploy models at scale
  • Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
  • Handling and securing large-scale production data
  • Demonstrated proficiency in Python, Go, or C
  • A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
  • A passion for innovation and a collaborative spirit
Job Responsibility
Job Responsibility
  • Developing secure data sharing middleware
  • Integrating software seamlessly into the workflows of specialized professionals, ensuring secure and efficient data access throughout the asset recruitment process
  • Providing solutions for the full data stack – from the data management, software development and model and deployment lifecycles
What we offer
What we offer
  • Equity
  • Fulltime
Read More
Arrow Right

Data Infrastructure Engineer

This young, early-stage start-up challenger is currently looking for a hands-on ...
Location
Location
United States , New York or DC
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Startup Energy: You thrive in fast-paced environments, manage ambiguity well, and focus on what moves the needle
  • Designing and deploying intuitive, user-friendly APIs
  • Demonstrated ability to train and deploy models at scale
  • Successfully launching machine learning services, particularly those leveraging LLMs, embeddings, and inference, into production environments
  • Handling and securing large-scale production data
  • Demonstrated proficiency in Python, Go, or C
  • A proactive approach to tackling complex challenges in a fast-paced, early-stage environment
  • A passion for innovation and a collaborative spirit
Job Responsibility
Job Responsibility
  • Developing secure data sharing middleware
  • Integrating software seamlessly into the workflows of specialised professionals, ensuring secure and efficient data access throughout the asset recruitment process
  • Providing solutions for the full data stack – from the data management, software development and model and deployment lifecycles
What we offer
What we offer
  • Equity
  • Opportunity to work with an Ambitious, Rapidly-Growing Start-Up
  • Fulltime
Read More
Arrow Right

Data Infrastructure Engineer

A venture-backed startup at the intersection of AI and national security is buil...
Location
Location
United States , New York City Metropolitan Area
Salary
Salary:
Not provided
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong engineering experience in Python, Go, or C
  • Experience building and scaling production data systems
  • Hands-on expertise with model deployment and ML Ops practices
  • Knowledge of database design, performance tuning, and operations
  • Someone who thrives in early-stage, fast-paced environments and enjoys tackling complex challenges
Job Responsibility
Job Responsibility
  • Build and maintain the data pipelines and infrastructure that power ML applications
  • Deploy and manage models at scale, from training through production
  • Design APIs and services that integrate smoothly into mission-critical workflows
  • Ensure data is handled and secured properly across large, distributed environments
  • Collaborate closely with a small, fast-moving team to solve hard technical problems in real-world settings
What we offer
What we offer
  • Significant equity
  • Strong health & wellness benefits
  • Fulltime
Read More
Arrow Right