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Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide data work reliable, secure, and easy to build on. You'll work hands-on across our data lakehouse ...

Data & Platform Engineer

Beaverton, OR ยท Hybrid

$119K - $143K/yr

Data & Platform Engineer Location: Beaverton, OR (Hybrid - 1 Remote Day Per Week After Onboarding) Comp Range: $100,000-120,000 DOE A growing organization is seeking a Data Engineer - Power Platform ...

Data Platform Engineer

Boston, MA

$124K - $149K/yr

TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR's technological strategy, architecting and supporting the firm's foundational data and AI ...

Data Platform Engineer

Milwaukee, WI ยท Hybrid

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Data Platform Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Artisan Partners is seeking a Data Platform Engineer to join our Data Platform Systems team. This team is responsible for the infrastructure, services, security controls, and engineering and ...

Data Platform Engineer

San Francisco, CA ยท On-site +1

$134K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma's next generation of AI-driven products and data experiences.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Alexandria, VA ยท On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

Austin, TX ยท On-site

$113K - $136K/yr

JOB SUMMARY Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic ...

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Data Platform Engineer

San Jose, CA ยท On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Data Platform Engineer

$117K - $140K/yr

About the Role We're looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering ...

Data Platform Engineer

Austin, TX ยท On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured ...

The Data Platform Engineer for Enterprise Data at Chipotle will be an active participant and driver in ensuring our platform and infrastructure continues to mature and evolve to support current and ...

Data Platform Engineer IV

Boise, ID ยท On-site

$114K - $186K/yr

Data Platform Engineer IV Hybrid (In office 3 days/week) within Oregon, Washington, Idaho or Utah Build a career with purpose. Join our Cause to create a person-focused and economically sustainable ...

Data Platform Engineer

Austin, TX ยท On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

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Showing results 1-20

Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data platform engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive in the Data Platform Engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What is a Data Platform Engineer job?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a Data Platform Engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What cities are hiring for Data Platform Engineer jobs? Cities with the most Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
What states have the most Data Platform Engineer jobs? States with the most job openings for Data Platform Engineer jobs include:
Infographic showing various Data Platform Engineer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 87% Full Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Platform Engineer

Anysphere, Inc

New York, NY โ€ข On-site, Remote

$125K - $150K/yr

Full-time

Posted 5 days ago


Job description

Engineering โ€ข Full-time โ€ข San Francisco; New York; Remote
Apply
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
About the role
Take data foundations from 0โ†’1 on the bleeding edge of AI data.
As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide data work reliable, secure, and easy to build on. You'll work hands-on across our data lakehouse architecture to support a fast-growing data team and uniquely data-savvy business stakeholders. You'll partner with Data, Product, GTM, and AI research teams to turn messy, repeated data needs into durable infrastructure.
Cursor is already operating at enormous scale, but our data platform is still early. This role is for someone who wants to own the low-level foundations: optimizing TB-scale ingestion, improving resource usage and alerting, codifying access control with infra-as-code, and making pragmatic build-vs-buy decisions across the modern data stack.
Example projects
  • Own and optimize the raw data layer: Improve the performance, reliability, and cost profile of TB-scale first-party data ingestion so downstream analysis, experimentation, and ETL are faster and more trustworthy.
  • Scale orchestration for a growing data team: Make Dagster and related orchestration infrastructure reliable, observable, and ergonomic for a large base of data scientists, analytics engineers, and adjacent technical users.
  • Expand and secure agentic data capabilities: Enable new entrypoints and capabilities for agents to do data work, all while keeping security and privacy requirements high.

What you'll do
  • Own, operate, and improve Cursor's Databricks and lakehouse infrastructure as the data team size and data volume scales.
  • Build and optimize ingestion systems for first-party product data and 3rd-party business systems.
  • Ensure observability, alerting, and operational standards across all data infrastructure layers.
  • Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.
  • Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.

You may be a fit if
  • You have 4+ years of full-time data platform engineering experience.
  • You have built up modern data stacks at a low level, not just written jobs on top of it.
  • You have scaled performant ingestion of billions of data per day.
  • You're the go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus.
  • You want to build foundational systems at a company where data-savvy users will immediately push them to their limits.