Salary guide
| Measure | Annual pay (USD) |
|---|---|
| 25th percentile | $193,000 |
| Median | $214,000 |
| 75th percentile | $240,000 |
| Lowest listing | $100,000 |
| Highest listing | $450,000 |
| Listings counted | 106 |
| Country | Currency | Listings | Median pay | Middle half |
|---|---|---|---|---|
| United States | USD | 92 | $214,000 | $192,000 to $236,000 |
| Canada | USD | 5 | $215,000 | $183,000 to $255,000 |
We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering.
Build and operate market data components: feed handlers, normalization, distribution, and venue connectivity. Design low-latency, high-throughput systems for real-time market data used by trading systems.
Contribute to the design and evolution of the data platform, ensuring reliability, cost efficiency, and scalability. Implement and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads.
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this.
As a Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our next generation of technology to be deployed around the world.
The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave.
As a Senior Data Platform Engineer, you will apply advanced knowledge of software engineering, data architecture, distributed systems, and database technologies to design and operate our enterprise data platform. Your responsibilities will include:
The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale.
Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
We are seeking a Principal Data Engineer to lead the architecture and evolution of the data platform underpinning our human genetics, multi-omics, and high-content imaging programs. This is a senior, hands-on leadership role with broad technical authority.
We are seeking a Principal Data Engineer to lead the architecture and evolution of the data platform underpinning our human genetics, multi-omics, and high-content imaging programs. This is a senior, hands-on leadership role with broad technical authority.
Standardize how the lab captures data. Sit with our cell line development, analytics, and molecular biology teams to define how samples, conditions and measurements are recorded, then build the ingestion tooling that makes the right way the easy way.
The Fraud Operations Analytics & Reporting team sits at the center of this mission — driving intelligence through data to improve operational efficiency, agent accountability, and fraud detection efficacy across all fraud product lines.
We are looking for a talented and detail-oriented Sr Data Engineer to tackle data challenges. You will design, build, and maintain critical data pipelines and datasets, supporting areas like recruiting, compensation, talent management, and learning and development.
Mastercard’s Enterprise Credit Risk (ECR) team is seeking a Lead Data Engineer to design and scale the next generation of data platforms that power credit decisioning, portfolio risk management, regulatory reporting, analytics, and AI-driven insights across Mastercard’s lending…
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Capital One · 28d ago
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Design and implement middleware and backend systems capable of handling high throughput and load. Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight.
Build and maintain market data components including feed handlers, normalization pipelines, distribution systems, and venue connectivity. Design and implement low-latency, high-throughput services for real-time market data consumed by trading systems across the platform.
We're seeking a Senior to Staff Backend Engineer to join our Health Plan Platform team.
Data Engineer for the Ground Network, you will play a critical role in building the framework that allow us to make decisions for our critical infrastructure.
We’re building a platform that companies use to create marketplaces that help people find the right kind of provider and book an appointment.
Design, build, and operate production-grade realtime and batch pipelines that ingest, process, validate, and deliver data powering user-behavior insights and product decisions.
Design, build, and maintain analytics-focused data pipelines that ingest, transform, and curate observability data from EDA datacenters. Develop reliable ingestion pipelines for metrics, logs, traces, and hardware health telemetry generated by large-scale CPU and GPU clusters.
Build, implement, and optimize tools to generate synthetic data for training different deep learning DRIVE networks, including simulated lidar, radar, camera/RGB-D, bounding boxes, object tracks, world models, segmentation, depth, scene semantics, and sensor metadata.
Midjourney · 10d ago
Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls.
Our APIs handle encoding, streaming, playback and analytics for companies like Patreon, Substack and Robinhood. We're changing how Mux uses its own data. We're not building more dashboards. Agents on top of bad data just give confident wrong answers faster.
We are looking for a Lead Data Engineer to architect, build, and evolve the foundational data platform that powers analytics, real-time decisioning, and operational intelligence across Alo.
Design, build and operate reliable, automated data pipelines for health plan data. Model complex, messy healthcare data into clear, trustworthy canonical and analytical models.
Two kinds of data decide whether we can do our job. What a health plan tells us happened to a member, in eligibility files, claims, pharmacy and hospital event feeds. And what our own software records about what we did for them.
As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.
The Senior Staff Data Engineer will help build and operate the enterprise lakehouse on Databricks, creating the governed data foundation that supports multiple business domains and downstream analytics.
Partner with model and engineering teams to understand needs and translate them into high-value data projects and evaluation strategies. Own end-to-end delivery of critical data and eval projects that capture meaningful training signals and support rapid model development.
Build clean software abstractions and modular, reusable components that let us support thousands of pipelines and beyond as we scale. Build and maintain data integration and processing SDKs used by data teams and internal services across Coinbase.
We're seeking an experienced Sr. Platform Data Engineer to architect, deploy, and operate the core data infrastructure and platform services underpinning CrowdStrike's analytics ecosystem.
Builds and runs CLEAResult’s Databricks data platform. The work covers source ingestion, governed silver and gold layers, analytics data products, and AI-assisted pipelines.
The Technology Department, reporting to the CEO, delivers secure, scalable digital tools, software services, and infrastructure across all business units.
Craft datasets with quants. Take an underspecified research question and turn it into the right dataset: aligned, adjusted, point-in-time correct, documented, and reproducible. . Develop and own the end-to-end lifecycle of these data products.
Lead solution design and architecture decisions for mid-to-large scale client engagements, with a focus on data platforms, pipelines, and AI-enabled workflows. Produce and present architecture artifacts: system diagrams, integration maps, ADRs, and technical standards.
As a Staff Security Data Engineer, you will own full-system designs and lead critical engineering initiatives across ingestion, storage, governance, orchestration, and data serving.
Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.
We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Develop various facets of data capture, data processing, storage and distribution. Understand and apply AWS standard methodologies and products (compute, storage, databases). Translate marketing concepts/requirements into functional specifications.
Develop and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of Samsara's Data Platform to enable advanced automation and analytics.
The median Data Engineer salary in our $200k+ listings is $214,000 a year, based on 106 live USD listings. The middle half of listings pays $193,000 to $240,000. These figures cover only listings that publish a salary of $200k+ or more, so they sit above pay for Data Engineer roles overall.
Individual $200k+ Data Engineer listings range from $100,000 to $450,000 a year. The 25th percentile of listing midpoints is $193,000 and the 75th percentile is $240,000.
The companies with the most open $200k+ Data Engineer listings are Capital One (15 listings, median $224,000), Anthropic (6 listings, median $363,000), xAI (4 listings, median $199,000), OpenAI (3 listings, median $366,000) and Coinbase (3 listings, median $208,000).
The figures come from the salary ranges employers publish in their own job listings, collected from company career pages and applicant-tracking systems. Each listing counts once, at the midpoint of its range. Only USD listings go into the headline figures, and listings that are closed or stale are removed. The data was last refreshed on November 13, 2026.
Yes. Each listing is tagged remote, hybrid or on-site, and remote roles carry a region (US only, EMEA, APAC or global), so you can filter the live job list to the arrangement you want.
United States
Canada
