Data engineer jobs in the United States

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,601
Employers: 2,048

Advertised starting pay

Average starting payUSD / year: $125,962Across 808 listings
Average starting payUSD / hour: $60.54Across 465 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%567 listings
Hybrid: 6%289 listings
On-site: 8%371 listings

Not specified: 73% (3,374 listings)

Employers hiring include Eliassen Group (294), Booz Allen Hamilton_United States (74), Insight Global (67).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 24 days ago
Senior Data Engineer
Ondo Finance
Remote, United States
Added 24 days ago
TECH211: Senior Data Engineer - ETL | Data Integration
JerseySTEM, Inc.
Remote, United States
Added 24 days ago
R
Data Engineer: Analytics
Rogo
New York, NY
- $150,000 to $230,000 USD / year
Added 24 days ago
Data Engineer
Aristocrat Technologies Inc
Austin, TX
…environment where your contributions matter. Joining us as a Data Engineer, you'll play a pivotal role in driving our engineering team's success and ensuring…
Added 24 days ago
R
Senior Data Engineer
Regard
New York, NY · San Francisco, CA · Los Angeles, CA
- $165,000 to $220,000 USD / year
As a Senior Data Engineer at Regard, you'll own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing…
Added 24 days ago
R
Data Engineer
Regard
New York, NY · San Francisco, CA · Los Angeles, CA
- $160,000 to $190,000 USD / year
As a Data Engineer at Regard, you'll build and maintain the data pipelines and infrastructure that turn raw clinical and product data into the metrics, insights, and capabilities that drive…
Added 24 days ago
Sr. Data Engineer
Octave
Remote, United States
Added 24 days ago
Founding Data Engineer
Reducto
San Francisco, CA
Added 24 days ago
Senior Data Engineer
Range
McLean, VA
As a Senior Data Engineer at Range, you’ll be the technical owner of Range’s data infrastructure at a pivotal moment. We’ve
Added 24 days ago
RA
Senior Data Engineer
Rad AI
San Francisco, CA
- $145,000 to $200,000 USD / year
Added 24 days ago
Data Engineer
Qualitate
New York City, NY
Added 24 days ago
Senior Forward Deployed Data Engineer, Data Modernizaton
Qualified Health PBC
Remote, United States
Added 24 days ago
Data Engineer - Seattle, WA
Nscale
United States
Added 24 days ago
Data Engineer
Nscale
United States
Added 24 days ago
P
Senior Data Engineer
Prompt
Remote, United States
- $170,000 to $190,000 USD / year
Prompt is a mission-driven startup looking for an experienced Senior Data Engineer to help push forward an ambitious set of data initiatives in healthcare, with a particular emphasis on…
Added 24 days ago
Data Engineer
Pika
Remote, United States
Added 24 days ago
Senior Data Engineer
Perry Weather
Dallas, TX
Added 24 days ago
AI-Native Data Engineer - TrueMeter
Pear VC
Palo Alto, CA
The grid is breaking under the weight of AI and electrification - data centers are driving record demand, renewables are lagging, and energy costs are climbing 3x faster than inflation.…
Added 24 days ago
Mission Data Engineer (Top Secret with agreement to obtain CI Poly)
North Point Technology
Fort Belvoir, VA
North Point Technology is hiring a Data Integration Lead to support our INSCOM Data Capabilities Division team. This role is ideal for a data-focused engineer who builds and manages…
Added 24 days ago
J
Principal Data Engineer - US
JobGet
Remote, United States
- $160,000 to $190,000 USD / year
Added 24 days ago
Senior Data Engineer - Digital Pathology (Hybrid)
Mayo US
Rochester, MN
Develops and deploys data pipelines, integrations and transformations to support analytics and machine learning applications and solutions as part of an assigned product team using various…
Added 24 days ago
Sr. Data Engineer
NinjaTrader
Remote, United States
Added 24 days ago
Senior Data Engineer (US only)
Nimble Gravity
Remote, United States
We are seeking an experienced and innovative Senior Cloud Data Engineer to lead our clients in the design, development, and maintenance of cloud-based data solutions. As a key member of our…
Added 24 days ago
Senior Data Engineer
Nimble Gravity
Remote, United States
As a Senior Data Engineer, you will architect and build the foundational data pipeline infrastructure that powers our decentralized Data Mesh strategy. In this role, you will support the…
Added 24 days ago
Platform Data Engineer
Neon Redwood
San Francisco, CA
Neon Redwood is a data services consulting company, working on cutting-edge AI and data-driven solutions. We are a team of passionate engineers and data experts, and we are currently…

Rogo

Data Engineer: Analytics

New York, NY, United States

$150,000 to $230,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $150,000 to $230,000 USD / year
Experience: 5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with a track record of owning production data systems.
Posting language: English
Posted: Jun 25, 2026

Original job description

Why Rogo

Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.

This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.

Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.

The Role

Analytics at Rogo defines the metrics, runs the pipelines behind them, and turns both into decisions and a better product. We’re hiring a Data Engineer to take full ownership of our Analytics infrastructure and build it into something that scales confidently with the company. This is a hands-on, high-leverage role: pipelines, orchestration, and reliability. If you are an experienced data engineer excited about how your role can evolve at an AI-native organization, this is the opportunity for you.

In many ways this is also a product role. Rogo productizes how we use our own data - many of our Analytical features began as internal analytics work. You will be expected to know the product as well as any engineer here, because the systems you build both measure it and support its development. We expect everyone at Rogo to take ownership of making our product better for our users.

WHAT YOU WILL OWN

Own analytics infrastructure: the ETL pipelines, Snowflake, dbt models, orchestration, and the reliability of all of it.
Analytics evals: design and run the evaluation and testing layer for our agentic analytics surfaces - internal agents that answer thousands of questions a quarter, and the customer-facing analytics our enterprise admins rely on. This is one of the defining problems of doing analytics at an AI company.
Own core KPIs: the definitions, the pipelines that produce them, and the documentation that makes them legible. When a number moves, you can say whether the pipeline broke, the definition changed, or the business moved.
Know the product inside and out: develop the same depth of product understanding as any engineer or salesperson at Rogo.
Turn internal work into product: partner with engineering and product where our analytics infrastructure becomes a customer-facing feature.
Pick up a lane of analytics work: as the foundation solidifies, take a domain of your own and go deep, so the team’s judgment grows alongside its infrastructure.

WHAT YOU WILL NEED

5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with a track record of owning production data systems.
Deep SQL proficiency and fluency in a modern cloud data warehouse (Snowflake preferred)
Hands-on dbt experience: models, tests, macros, incremental strategies, and a real point of view on what makes a well-structured transformation layer.
Strong Python for pipeline and transformation work, and comfort with orchestration and modern ETL tooling.
You have a real point of view on keeping a fast refresh cadence as event volume geometrically increases with our business: partitioning strategies, incremental model design, storage tiering, etc.
Genuine fluency with AI products. You’ve used agentic tools seriously and have a working picture of what happens between a question and an answer: retrieval, tool calls, model turns, and where cost accrues.
Real curiosity about the business. You care about and take ownership of what a number means, not only that the job ran.
Comfort operating with autonomy across multiple stakeholders and domains.

BONUS

Growth-stage experience, or familiarity with the scale of data Rogo will be handling twelve months from now.
Experience building evals or test harnesses for LLM-powered systems.
Experience with single- and multi-tenant customer architectures.
Familiarity with Salesforce, Intercom, or usage-based billing data models (Metronome or similar).
Experience with third-party financial or B2B data vendors (LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar).
Background in financial services, enterprise SaaS, or vertical AI.

WHO YOU ARE

You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup.
You are ambitious. You have fun solving problems that others think are impossible.
You are curious. You find joy in learning about AI, technology, and finance.
You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity.
You are collaborative, organized, thoughtful, and kind.

WHY JOIN ROGO?

Up and to the right: Rogo has strong product adoption with the world's leading financial institutions, and we are still early. The upside is enormous.
Extraordinary team: we take talent density seriously. You'll do the best work of your career alongside some of the sharpest people in AI and finance.
A one-of-one problem: bringing AI to the core of how Wall Street works is one of the most ambitious, technically demanding, and consequential problems today. There is nowhere else you can work on it at this scale.
Real ownership: You'll own real surface area and watch the world's most sophisticated users rely on your work.
Always at the frontier: we work at the edge of what the best models can do and turn it into products people trust. If you're obsessed with AI, this is where it's happening.

Apply About employer

More about this job

Skills

Data engineering
Snowflake
dbt
Google Analytics
Documentation
Product comprehension
SQL
Data warehouse
Python
Salesforce
Data models

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