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Live In Data Platform Engineer Jobs (NOW HIRING)

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Build tooling for document processing, metadata, and normalization What We're Looking For * 7+ years in data engineering, platform engineering, or backend infrastructure * A track record of shipping ...

Data Platform Engineer

San Francisco, CA · On-site

$200K - $400K/yr

We launched publicly in Feb 2026, are already 65 people, and have strong early product-market fit ... The Role We're looking for a Data Platform Engineer to help build Monaco's data and ML platform ...

Senior Data Engineer, Data Platform

Austin, TX · Remote

$113K - $136K/yr

... Data Engineer to join us and work with our client's Data Platform team. Our client is a leading ... You have to live in the contiguous United States and have all the necessary documentation to work ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

... people live, work, and connect. We've raised over $160M in venture capital, serve thousands of ... We're looking for a Senior Data Platform Engineer to own the foundation the entire Data & Data ...

Sr. Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $161K/yr

What you'll do The Data and AI Platform Engineer will design, build, and operate our nextgeneration ... And for that, you'll be loved by us, our customers, and the world in which we live. Accommodation ...

Sr. Data Platform Engineer

San Francisco, CA · On-site

$134K - $161K/yr

What you'll do The Data and AI Platform Engineer will design, build, and operate our next ... And for that, you'll be loved by us, our customers, and the world in which we live. Accommodation ...

Senior Data Platform Engineer

Boston, MA · On-site

$133K - $175K/yr

In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable ...

Data Platform Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Platform Engineer. Responsibilities: * Design and implement ... Proficiency in Python and SQL. * Experience working in Linux/Unix environments. * Experience ...

Sr. Data Platform Engineer

Addison, TX · On-site

$135 - $145/hr

This is a direct hire, on onsite position located in Addison, Texas. POSITION OVERVIEW The Senior Data Platform Engineer will build, operate, and secure a modern Snowflake data platform using a ...

Data Platform Engineer

$117K - $140K/yr

Headquartered in Charleston, South Carolina, Greystar manages and operates over $350 billion of ... Delta Live Tables (DLT) design standards, schema evolution enforcement, and medallion layer ...

Showing results 21-40

Live In Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do live in data platform engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for live in data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

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Infographic showing various Live In Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data and Platform Engineer

Avantos, Inc

New York, NY • On-site

$116K - $157K/yr

Full-time

Re-posted 22 days ago


Job description

Senior Data & Platform Engineer
NYC (Hybrid) or US Remote | Competitive + Equity
About Avantos
Avantos is building the AI-native operating system for financial services - transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making.
We're a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure.
The Role
We're looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems.
This is not just about pipelines - it's about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably.
What You'll Do
  • Design and implement core backend systems and integrations that power the product.
  • Design and build our data platform (orchestration, pipelines, developer workflows)
  • Create scalable systems for data ingestion, transformation, and access
  • Design data models and APIs that won't collapse under growth.
  • Make sane decisions about schemas, indexes, migrations, and performance.
  • Own infrastructure for data + AI workloads (containers, orchestration, cloud services)
  • Enable self-serve data workflows for engineering and product teams
  • Improve observability, reliability, and performance across the data stack
  • Support AI/ML systems (embeddings, vector data, model pipelines)
  • Build tooling for document processing, metadata, and normalization
What We're Looking For
  • 7+ years in data engineering, platform engineering, or backend infrastructure
  • A track record of shipping and owning production systems.
  • Strong systems thinking (not just pipelines - platform mindset)
    • Backend system design and API design
    • Data modeling and relational databases
    • Performance, reliability, and failure modes
  • Proficiency in Golang, SQL, Terraform, AWS
  • Comfort in a fast-moving startup environment
Bonus
  • LLMs / RAG, vector search, fintech or regulated systems
  • Have startup or early-stage experience.
Why Join
  • Build the foundation layer of an AI-native product
  • High ownership + direct impact
  • Work where data, platform, and AI converge
The Fit
You're someone who doesn't just move data - you build the systems that make data usable at scale.