Data engineer jobs in the United States (4,755 jobs)

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

Counted Nov 7, 2026

Hiring at a glance

View jobs

Open jobs: 4,755
Employers: 2,071

Advertised starting pay

Average starting payUSD / year: $126,123Across 842 listings
Average starting payUSD / hour: $62.29Across 522 listings

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

Where work happens

Remote: 12%561 listings
Hybrid: 6%305 listings
On-site: 8%378 listings

Not specified: 74% (3,511 listings)

Employers hiring include Eliassen Group (369), Booz Allen Hamilton_United States (73), Insight Global (66).

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 26 days ago
Data Engineer
Matterworks, Inc.
Somerville, MA
Added 26 days ago
Data Engineer II - Surgery
Mount Sinai Health System
New York, NY
The Mount Sinai Program for Surgical Intelligence is seeking a Data Engineer to support the development and deployment of data-driven tools in surgical care. This role will focus on…
Added 26 days ago
Senior Data Engineer
KAYAK
Concord, MA
Added 26 days ago
Senior Data Engineer (in person)
SEP
Westfield, IN
Data is only as powerful as the foundation beneath it. At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way.
Added 26 days ago
Data Engineer (in person)
SEP
Westfield, IN
SEP is looking for a data engineer to join our growing data practice and deliver data solutions for our clients. We've been helping companies build great software products since 1988 in a…
Added 26 days ago
Data Engineer
Virtualitics, Inc
DC
Added 26 days ago
Data Engineer
Reply
Detroit Area, MI · Chicago, IL
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation…
Added 26 days ago
Data Engineer
Reply
Atlanta, GA · Kansas City, MO · Philadelphia area, PA
Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation…
Added 26 days ago
Senior Data Engineer
Hyperbolic Labs
San Francisco, CA
Added 26 days ago
H
Senior Data Engineer
Healthleap
San Francisco, CA
- $175,000 to $275,000 USD / year
Added 26 days ago
HA
Data Science/ Data Engineer Intern
Hadrian Automation
Torrance, CA
- $46.15 to $50.71 USD / hour
Added 26 days ago
Senior Data Engineer, AI Systems
Movable Ink
NY
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 26 days ago
Senior Data Engineer, AI Systems
Movable Ink
NY
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize…
Added 26 days ago
S
Senior Data Engineer
SteerBridge
Vienna, VA
- $135,000 to $160,000 USD / year
Added 26 days ago
S
Senior Data Engineer
SteerBridge
Vienna, VA
- $135,000 to $175,000 USD / year
Added 26 days ago
S
Junior Data Engineer
SteerBridge
Vienna, VA
- $85,000 to $105,000 USD / year
Added 26 days ago
S
Data Engineer
SteerBridge
Vienna, VA
- $125,000 to $140,000 USD / year
Added 26 days ago
S
Data Engineer
Smarsh
Remote, United States
- $160,000 to $180,000 USD / year
As a Database Engineer on the Professional Archive team, you'll operate as a subject-matter expert for the data infrastructure that powers our platform – driving the architecture, scaling,…
Added 26 days ago
M
Data Engineer, Data Products
Minerva
New York City, NY
- $170,000 to $236,000 USD / year
Added 26 days ago
M
Staff Data Engineer
Minerva
New York City, NY
- $237,000 to $265,000 USD / year
Added 26 days ago
GD
Senior Data Engineer - Data Platform & Martech Engineering
Gen Digital Inc.
New York, NY
- $165,000 to $187,000 USD / year
Added 26 days ago
F
Data Engineer
Fluidstack
Austin, TX · New York, NY · San Francsisco, CA
- $224,000 to $279,000 USD / year
Added 26 days ago
H
Senior Data Engineer
Hazel
New York City, NY
- $155,000 to $200,000 USD / year
Hazel is the AI coworker for consumer brands. We connect to a brand's live data - Shopify, Klaviyo, Amazon, Meta, and dozens of others - and turn it into a teammate operators talk to every…
Added 26 days ago
P
Sr Data Engineer
Protective
Remote, United States
- $84,000 to $128,667 USD / year
Protective is looking for Data Engineers to design, build, and operate production data pipelines on Voyager, our Databricks lakehouse on Azure. You will own the end-to-end flow of data…
Added 26 days ago
P
Lead Data Engineer
Protective
Remote, United States
- $109,500 to $167,833 USD / year
Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the…

Minerva

Data Engineer, Data Products

New York City, NY, United States

$170,000 to $236,000 USD / year

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Job details

Pay: $170,000 to $236,000 USD / year
Posting language: English
Posted: Aug 6, 2026

Original job description

ABOUT MINERVA

Minerva builds AI for marketing leaders. We work together with marketers to automate and accelerate their workflows with AI agents. Our agents augment the end-to-end workflow of the marketer by automating analysis, campaign planning, activation, measurement and reporting.

Customers like the NBA, Ramp, Wander, Hard Rock Stadium Group and Luxury Presence use Minerva to develop a better understanding of their customers and introduce AI specifically built to understand the customer into their commercial organizations. Our campaigns outperform other tools because we built the entire stack: from identity to enrichment to data integration as well as agents to action and report on the analysis.

We've raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital and many others. Our team brings together operators and investors from Citadel, Dentsu, Bridgewater, Meta Superintelligence, Growthloop, Amazon and Lazard, alongside engineers and researchers from Berkeley, MIT, Stanford and Cambridge.

ABOUT THE ROLE

Minerva's data is not just infrastructure beneath our product; it is also one of our products. We are looking for a Data Engineer who can take ownership of complex consumer-data domains, develop a deep understanding of how their datasets relate and turn messy raw signals into trusted attributes and production data products. This role & Minerva are quite unique in the sense that GTM can immediately start selling your work output and generate enterprise-grade revenue in a matter of weeks.

You will spend most of your time at the transformation and derivation layer. You might become Minerva's internal expert on an identity graph, property and professional data, or a new source of consumer intent: learning the domain deeply enough to identify what is useful, what is misleading and what we should build next. Your job is not simply to make data available for someone downstream. You will use it to solve ambiguous problems and move an important part of our data product forward.

This is an end-to-end role. You will investigate novel datasets, source data when the answer is not already available, design domain models and derived attributes, and productionize your work so it can be consumed reliably by Minerva's applications, agents, APIs and ML models. Our data platform engineers build the infra that makes this work scalable; you must be comfortable operating within that infra and building your own ingestion and transformation pipelines without creating a bottleneck for the platform team.

The best fit can come from several backgrounds: a product-oriented data engineer, an applied data scientist who has data engineering skills, or a software engineer who has spent years solving difficult data problems. The common thread is first-principles reasoning, strong engineering fundamentals and a desire to own the answer from raw data through production. We test rigorously for data problem solving skills in our interview process.

WHAT YOU'LL DO

Own one or more complex consumer-data domains end-to-end, becoming the person responsible for both understanding the data and advancing the products built from it.
Investigate large, messy and unfamiliar datasets. Establish their grain, keys, relationships, coverage, failure modes and fitness for different product use cases.
Design and build durable domain models, derived attributes and entity relationships that can power Minerva's applications, AI agents, APIs, customer deliveries and predictive models.
Build and operate the ingestion and transformation pipelines required to bring your work into production, including validation, observability, backfills and recovery. Productionization is key.
Go on data quests: identify and evaluate new sources, determine how they can improve our consumer graph and find clever ways to extract signal from imperfect inputs. We often have budget for purchasing new data when there is clear ROI.
Make data outputs trustworthy enough to be consumed autonomously. Define quality checks, provenance and guardrails that distinguish reliable signal from convenient but misleading data.
Partner with data scientists, platform engineers, product engineers and customer-facing teams to turn open-ended business or product questions into scalable data products.
Use LLMs, embeddings and modern AI development tools where they materially improve data standardization, classification, enrichment or engineering velocity.
Find new ways to create and protect business value through Minerva's proprietary data asset, from improving existing products to opening entirely new revenue opportunities.

OUR DATA STACK

Dagster for orchestration
dbt-core within Dagster as a primary data-transformation surface
Snowflake for analytical workloads
Spark, Iceberg, Trino and AWS Glue for lakehouse workloads
Postgres, Elasticsearch and other product-facing systems
Frontier and open-source models, agent SDKs and batch APIs from OpenAI and Anthropic

QUALIFICATIONS

2-5+ years working as a data engineer, software engineer or applied data scientist in a data-heavy context. Your prior title matters less than evidence that you live and breathe data.
Highly proficient in Python and SQL.
Driven by first-principles thinking. You can take an ambiguous data problem, determine what must be true, interrogate the available evidence and design a practical path to an answer.
Strong intuition for data cleaning, ingestion and data modeling. We expect these foundations to be second nature so your thinking is free for larger and more ambiguous data initiatives, especially given the leverage of modern AI coding tools.
Comfortable building and deploying production data pipelines, not just analyzing data in notebooks or handing specifications to another engineering team.
Able to balance analytical depth with engineering pragmatism: you care whether an attribute is conceptually valid and whether it can be produced reliably at scale; you know when a new idea won't provide any lift.
Comfortable owning an ambiguous initiative end-to-end in a lean, fast-changing environment. You're more product-minded than people give you credit for.
Willingness to work in our New York City office. We provide a relocation package.
Eagerness to learn, grow and raise the bar with your coworkers.

PREFERRED

Experience working with large, messy, multi-source datasets where the semantics were not obvious and documentation was incomplete.
Experience with consumer data, identity resolution, entity graphs, property data, behavioral or intent data, or other complex third-party data domains.
Experience with orchestration tools such as Dagster, Airflow or Prefect and transformation tools such as dbt or SQLMesh.
Experience with analytical databases such as Snowflake, Redshift or BigQuery and familiarity with transactional databases such as Postgres or MySQL.
Experience with lakehouse or distributed-processing systems such as Spark, Iceberg, Trino or AWS Glue.
Familiarity with AWS or another major cloud platform.
Exposure to ML eng/ops, applied ML or feature engineering. Deep modeling expertise is not required.
Effective use of AI coding tools such as Claude Code, Cursor or OpenCode as a force multiplier.
Prior experience at an early-stage startup.

You do not need to tick every box. If you are strong with data, we want to hear from you.

COMPENSATION

$170,000–$236,000 base salary, commensurate with experience. Competitive equity. Medical, dental and vision.

WHERE WE WORK

We work in person from our office at 300 Kent Avenue in Williamsburg, Brooklyn.

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More about this job

Skills

ML
Data engineering
Problem solving
Procurement
Statistical quality control
dbt
Snowflake
Apache Spark
AWS
Elasticsearch
Python
SQL
Cleaning
Data modelling
Documentation
Apache Airflow
Amazon Redshift
BigQuery
MySQL

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