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

Save this search

Added 24 days ago
S
Data Engineer, Finance
Superhuman
San Francisco, CA · Seattle, WA
- $175,000 to $245,000 USD / year
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Added 24 days ago
S
Data Engineer, Foundations
Superhuman
San Francisco, CA · Seattle, WA
- $175,000 to $245,000 USD / year
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Added 24 days ago
Forward Deployed Data Engineer IV, Databricks
E Source
Remote, United States
…changing landscape, and we’re looking for a Forward Deployed Data Engineer IV to help shape how that impact shows up in the…
Added 24 days ago
Databricks Data Engineer
E Source
Remote, United States
E Source is seeking a Databricks Data Engineer to join the Machine Learning Engineering team. This role focuses on designing, building, and maintaining scalable, reliable, and secure data…
Added 24 days ago
Principal Data Engineer
Octus
Remote, United States
Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting,…
Added 24 days ago
S
Lead Data Engineer
Stream
Boulder, CO
- $150,000 to $180,000 USD / year
Added 24 days ago
M
Data Engineer, Accounting
MONTICELLOAM
NY
- $100,000 to $140,000 USD / year
We're looking for a Financial Accounting Operations Data Engineer to build and maintain the data and r
Added 24 days ago
Data Engineer - Talent Acquisition Operations
Palantir Technologies
NY
As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-
Added 24 days ago
S
Senior Data Engineer
Socure
Remote, United States
- $160,000 to $195,000 USD / year
Added 24 days ago
CG
Sr. Data Engineer
Contact Government Services, LLC
Albany, NY · NY
- $144,768 to $209,109.33 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Sr. Data Engineer
Contact Government Services, LLC
Los Angeles, CA · San Francisco, CA
- $144,768 to $209,109.33 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Atlanta, GA · Charlotte, NC
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Los Angeles, CA · San Francisco, CA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Baltimore, MD · Rockville, MD
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Chantilly, VA · Fairfax, VA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Dallas, TX · Austin, TX
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
NY · Albany, NY
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Miami, FL · Tampa, FL
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Washington, DC · Arlington, VA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Chicago, IL · Detroit, MI
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
CG
Data Engineer
Contact Government Services, LLC
Boston, MA · Philadelphia, PA
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 24 days ago
A
Data Engineer
Alloy.ai
Washington, DC
- $85,000 to $110,000 USD / year
Alloy.ai is the Commerce Intelligence System for consumer brands. We unify data from 500+ sources - ERPs, retailers, ecommerce platforms, and distributors - into a single source of truth…
Added 24 days ago
Data Engineer
Keystone
Boston, MA · NY · San Francisco, CA
Added 24 days ago
HH
Senior Staff Data Engineer - Data & ML Platform
Hinge Health
San Francisco, CA
- $240,000 to $335,000 USD / year
We're looking for a Senior Staff Data Engineer to be the technical backbone of our Data & ML Platform team - the foundation powering analytics, product experiences, and machine learning…
Added 24 days ago
H
Senior/Staff Data Engineer
Horizon3
Remote, United States
- $199,000 to $270,000 USD / year

Superhuman

Data Engineer, Foundations

San Francisco, CA, United States
Seattle, WA, United States

$175,000 to $245,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $175,000 to $245,000 USD / year
Experience: You have 3+ years of experience running live production environments, including high-load or data-intensive workflows, with a focus on uptime and reliability.
Posting language: English
Posted: Sep 11, 2026

Original job description

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.

ABOUT SUPERHUMAN

Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs’ collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com http://superhuman.com and about our values here https://superhuman.com/company/values.

THE OPPORTUNITY

To achieve our ambitious goals, we’re looking for a Data Engineer to join our Data Foundations team and help us build a world-class data platform. Superhuman’s success depends on its ability to efficiently ingest and process over 70 billion daily events to improve our products. This role presents a unique opportunity to experience all aspects of building complex data pipelines and systems, including contributing to the strategy, defining the architecture, and developing and shipping to production.

Superhuman is a compound startup: we build many products as one integrated suite rather than standalone tools. That model creates an unusually rich data opportunity, with signals spanning our full product suite across both consumers and enterprises - and the foundational data you build connects those surfaces.

The Data Foundations team is part of the Data Platform org, powering data needs across Superhuman rather than a single product surface. It owns the foundational datasets and data models that define the fundamental entities of Superhuman's business, serving as building blocks for the company's other data teams and data scientists. Behind the scenes, the team develops and runs large-scale ETL pipelines that process petabytes of data and billions of events daily.

This is a high-impact role at the intersection of data engineering, data-intensive applications, and data modeling, where the systems you build directly shape how efficiently our other Data teams can build their datasets.

WHAT YOU’LL DO

As a Data Engineer on the Data Foundations team, you will design and implement robust, scalable, and reliable data pipelines and systems that handle large volumes of data, empowering both product features and data-driven decision-making across the company. Your work will span areas such as ETL data pipelines, data lakes, performance-oriented data processing, and ETL framework development.

Architect, build, and own large-scale data pipelines and data lakes (Spark/Databricks) that ingest and process billions of daily events into reliable, decision-grade datasets.
Design and implement solutions that keep data available, secure, and scalable across the platform, enabling both real-time and batch processing.
Own data quality, freshness, and reliability for the foundational datasets other teams depend on, with automated checks, monitoring, and alerting.
Build the ETL frameworks and tooling that let other Data teams and data scientists self-serve and model core business entities into clean, well-documented, reusable datasets.
Partner with product teams, back-end engineers, ML engineers, and Data Science to turn business questions into high-impact data products behind business-critical features, research, and experimentation.
Collaborate with leadership to shape the team’s charter and technical roadmap.

QUALIFICATIONS

You have 3+ years of experience running live production environments, including high-load or data-intensive workflows, with a focus on uptime and reliability.
You’re proficient in SQL and Python, with deep hands-on experience in Spark and a modern lakehouse or cloud data warehouse (Databricks, Delta Lake, dbt, Snowflake, or similar).
You have strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, or Dagster), data quality frameworks, and CI/CD for data with Git-based deployments.
You have data modeling and data warehouse design skills, along with a rigorous approach to data quality and observability.
You have hands-on experience with modern data storage technologies (for example, Delta Lake, Snowflake, BigQuery, or Redshift).
You communicate clearly and collaborate well across diverse teams and stakeholders, turning business needs into robust data solutions and trustworthy metrics.
You bring a strong ownership mindset, taking end-to-end responsibility for the systems you build, from strategy and architecture through production and ongoing reliability.
You have a strong acumen for scalable, highly complex data processing, think holistically about problems, and raise the bar on your team’s craft.
You’re a self-starting problem-solver who thinks from first principles, manages priorities across multiple projects, and thrives in a fast-paced, results-driven environment.

NICE TO HAVE

You have experience operating large-scale distributed systems, as well as in data engineering and data modeling.
Experience with high-throughput, real-time streaming systems (for example, Kafka, Flink, or Spark Structured Streaming) at the scale of billions of events per day.
Comfort with data lake and lakehouse technologies (for example, Delta Lake, Iceberg, or Hudi) and managing cloud infrastructure as code (for example, Terraform).
A track record of building self-serve data products, tools, or frameworks that other teams rely on.
Experience partnering with analytics, data science, or machine learning teams as a strategic data partner to productionize data and models.

COMPENSATION AND BENEFITS

Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more:

Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
Disability and life insurance options
401(k) and RRSP matching
Paid parental leave
20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
Annual professional development budget and opportunities

Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.

For more information about our compensation zones and locations where we currently support employment, please refer to this page https://superhuman.com/company/careers/compensation-zones. If a location of interest is not listed, please speak with a recruiter for additional information.

Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined by compensation zone and may be modified in the future.

WE ENCOURAGE YOU TO APPLY

At Superhuman, we value our differences, and we encourage all to apply - especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).

Apply About employer

More about this job

Skills

Data models
Data engineering
Decision making
Process data
Apache Spark
Databricks
ML
Research
SQL
Python
Data warehouse
dbt
Snowflake
Apache Airflow
CI/CD
Git
Data modelling
Data storage
BigQuery
Amazon Redshift
Apache Kafka
Infrastructure as code
IBM Terraform
Machine learning

Report this job