CrawlJobs Logo

Data Infrastructure Engineer

weareorbis.com Logo

Orbis Consultants

Location Icon

Location:
United States, New York or DC

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

This young, early-stage start-up challenger is currently looking for a hands-on Data Infrastructure Engineer to join their small team and help drive the business forward. This could be an excellent opportunity for an experienced Data Infrastructure Engineer with founding/small start-up experience to take that next step into an exciting position with a very well-run and ambitious organisation in an innovative, exciting space. This young and agile company are building cutting-edge AI platforms. They are in a unique space where there is an opportunity for them to gain significant market share very quickly.

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

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

Nice to have:

  • Skills in building and deploying ML-operated Search at scale
  • Experience in infrastructure management (Docker, Kubernetes, AWS)
  • Expertise in encryption, authentications3, DevOps, or SRE
What we offer:
  • Equity
  • Opportunity to work with an Ambitious, Rapidly-Growing Start-Up

Additional Information:

Job Posted:
December 11, 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

New

Senior Software Engineer - Data Infrastructure

We build the data and machine learning infrastructure to enable Plaid engineers ...
Location
Location
United States , San Francisco
Salary
Salary:
180000.00 - 270000.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of software engineering experience
  • Extensive hands-on software engineering experience, with a strong track record of delivering successful projects within the Data Infrastructure or Platform domain at similar or larger companies
  • Deep understanding of one of: ML Infrastructure systems, including Feature Stores, Training Infrastructure, Serving Infrastructure, and Model Monitoring OR Data Infrastructure systems, including Data Warehouses, Data Lakehouses, Apache Spark, Streaming Infrastructure, Workflow Orchestration
  • Strong cross-functional collaboration, communication, and project management skills, with proven ability to coordinate effectively
  • Proficiency in coding, testing, and system design, ensuring reliable and scalable solutions
  • Demonstrated leadership abilities, including experience mentoring and guiding junior engineers
Job Responsibility
Job Responsibility
  • Contribute towards the long-term technical roadmap for data-driven and machine learning iteration at Plaid
  • Leading key data infrastructure projects such as improving ML development golden paths, implementing offline streaming solutions for data freshness, building net new ETL pipeline infrastructure, and evolving data warehouse or data lakehouse capabilities
  • Working with stakeholders in other teams and functions to define technical roadmaps for key backend systems and abstractions across Plaid
  • Debugging, troubleshooting, and reducing operational burden for our Data Platform
  • Growing the team via mentorship and leadership, reviewing technical documents and code changes
What we offer
What we offer
  • medical, dental, vision, and 401(k)
  • equity and/or commission
  • Fulltime
Read More
Arrow Right
New

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
New

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
New

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
New

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
New

Sr. Data Engineer I, Data Infrastructure

Khan Academy is partnering with SafeInsights to provide researchers access to st...
Location
Location
United States , Mountain View
Salary
Salary:
137871.00 - 172339.00 USD / Year
khanacademy.org Logo
Khan Academy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in data engineering within a production environment
  • Experience with Google infrastructure services and data services particularly GCS & Big Query
  • Advanced knowledge of Python
  • Strong SQL skills
  • Demonstrated proficiency with Docker and Kubernetes
  • Experience with Airflow
  • Background in applied math, statistics, economics, or a related technical field
  • Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere"
  • Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.
Job Responsibility
Job Responsibility
  • Collaborate with our Data Insights Group to understand the desired end data product and the overall projects goals
  • Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
  • Propose tooling and processes that will work with extant Khan Academy systems to meet the projects goals
  • Build test and refine these tools and processes
  • Deliver the SafeInsights container and associated project deliverables
  • Provide documentation and training required to maintain and enhance the above
What we offer
What we offer
  • Competitive salaries
  • Ample paid time off as needed
  • Remote-first culture
  • Generous parental leave
  • An exceptional team
  • The chance to put your talents towards a deeply meaningful mission
  • Opportunities to connect through affinity, ally, and social groups
  • 401(k) + 4% matching
  • Comprehensive insurance, including medical, dental, vision, and life
  • Fulltime
Read More
Arrow Right
New

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
New

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
Welcome to CrawlJobs.com
Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.