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 4 mins ago
Data Engineer
Tetrad Digital Integrity LLC
Springfield, VA
TDI is seeking Data Engineers to support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts,…
Added 17 mins ago
Data Engineer / Metadata Engineer
ECS FEDERAL LLC
ARLINGTON, VA
Everforth ECS is seeking a Data Engineer / Metadata Engineer to work in a HYBRID schedule in our Arlington, VA office.
Added 1 hour ago
Data Engineer, AI Backend
Toppan Merrill LLC
NEW YORK, NY
Job Description:Data Engineer, AI BackendShape the Future of AI in Capital Markets and Legal DisclosureAt Toppan Merrill, we're building Quinn, a cloud-based platform that helps law firms,…
Added 1 hour ago
BA
Data Engineer, Mid
Booz Allen Hamilton
Aurora, CO
- $61,900 to $141,000 USD / year
…intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when…
Added 3 hours ago
Data Engineer, Bureau of Data Technology & Strategy
City of New York
Long Island City, NY
The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking…
Added 4 hours ago
Snowflake Data Engineer
EXL Talent Acquisition Team
NY
We are looking for an experienced, hands-on Data Engineer with strong expertise in Fivetran, dbt, Snowflake, and modern cloud data engineering practices. The candidate should also have…
Added 6 hours ago
J
Senior Data Engineer
Jobgether
Remote, United States
- $130,000 to $200,000 USD / year
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.
Added 6 hours ago
Consultant, Data Engineer - Reference Data Management
AB3 Nationwide Life and Annuity Insurance Co
OH · AZ
Added 7 hours ago
Data Engineer
Deep Digital Solutions Group
United States
Job Description: Deep Digital are seeking a highly skilled and experienced Senior Data Engineer with a proven track record in successfully implementing, optimizing, and maintaining the data…
Added 7 hours ago
Senior Data Engineer
Leopard (NYC)
New York, NY
…distributed, and experienced. We are seeking a full-time Senior Data Engineer who is excited to help us build the next-generation, AI-native life insurance platform - from the capabilities…
Added 8 hours ago
SH
Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
Added 8 hours ago
RU
Data Engineer V - US
Rackspace US, Inc.
Remote, United States
- From $165,830 USD / year
Understand healthcare data standards and compliance frameworks such as HIPAA, HL7, and FHIR.
Added 8 hours ago
LI
AI Data Engineer
Ladders Inc
New York City, NY
- $175,000 to $300,000 USD / year
Transform Data With AI: Build systems that convert raw information into powerful tools in hiring with AI.
Added 8 hours ago
Senior Data Engineer
Marble Technologies
Lincoln, NE · Omaha, NE · Cambridge, MA
…food processing industry. Marble is seeking a full-time Senior Data Engineer who is ready for a challenge and eager to design, implement, and support automation solutions that are…
Added 8 hours ago
J
Data Engineer
Remote, United States
- $120,000 to $130,000 USD / year
Staritas is seeking a highly motivated Data Engineer to join our growing Technology team. In this role, you will design, build, and optimize scalable data solutions that support our…
Added 8 hours ago
Financial Systems/Data Engineer
Easy Labs Inc.
New York City, NY · Minneapolis, MN · Los Angeles, CA
Added 8 hours ago
Data Engineer
WinMax Systems Corporation
Santa Clara, CA
Leading the design, development and deployment of data reporting solutions for Client Service Training. This role involves significant interaction with large data sets, querying, modeling,…
Added 8 hours ago
AWS Cloud Data Engineer
Webtellect, LLC
Remote, United States
Added 8 hours ago
GCP Data engineer with Dataproc + Big Table
VDart Inc
The Bronx, NY
Added 8 hours ago
AWS Engineer (Data Engineer)
Synectics for Management Decisions, Inc
Alexandria, VA
Synectics is a client-focused research, statistics, technology, and data science consulting firm devoted to “making data meaningful.” We are a blend of academics and technicians who support…
Added 8 hours ago
Junior to Senior Data Engineer / SAS Programmer (Python, R, SQL and SAS) for Startup
The Culper Group
Brigdewater, NJ
A Top Firm focusing on Market Access & Pricing Research in life sciences industry is looking for a Strong Data Engineer / SAS Prog
Added 8 hours ago
Business Intelligence /Data Engineer
Technamo LLC
Springfield, VA
Added 8 hours ago
Data Engineer – (Hadoop & Big Data)/Teradata & Data stage
supremesoft
Bellevue, WA
Added 8 hours ago
Data Engineer
Sumeru Solutions
Menlo Park, CA
Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive
Added 8 hours ago
Data Engineer
Stepping Up Solutions
San Francisco, CA
We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.

EdgeQ Technologies Private Limited

Junior Data Engineer (Remote)

Remote, United States

$75,000 to $115,000 USD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $75,000 to $115,000 USD / year
Job type: Full-time
Posting language: English

Original job description

Junior Data Engineer Job Title: Junior Data Engineer Job Type: Full-Time Work Arrangement: Remote / Hybrid / On-site Experience Level: Entry-Level to Early Career (0–3 Years) Salary Range: $75,000–$115,000 per year Job Locations: Seattle, WA | Austin, TX | Dallas, TX | New York City, NY | Atlanta, GA Candidate Location Requirement: Must currently reside in the United States. About the Role We are seeking a motivated and detail-oriented Junior Data Engineer to join our data engineering team. The ideal candidate will have a foundational understanding of Python, SQL, ETL processes, and Apache Spark, with a strong interest in building reliable, scalable data pipelines. In this role, you will help develop and maintain data ingestion workflows, transform raw data into usable datasets, and support data integration initiatives. You will collaborate with data engineers, data analysts, data scientists, and other technical teams to ensure data is accurate, accessible, and ready for reporting and analytics. This opportunity is ideal for recent graduates and early-career professionals who want to build their skills in data engineering, big data processing, and modern data platforms. Eligibility requirement: Applicants must currently reside in the United States. Remote work is available only where permitted by the employer's employment and payroll requirements.

Key Responsibilities

Develop, test, and maintain data pipelines using Python and SQL.
Assist in building and managing ETL (Extract, Transform, Load) workflows.
Extract data from databases, APIs, files, and other source systems.
Clean, transform, validate, and load data into target systems.
Use Apache Spark for distributed data processing and large-scale data transformations.
Write efficient SQL queries to retrieve, join, aggregate, and manipulate datasets.
Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.
Support the development of batch-processing and, where applicable, streaming data workflows.
Implement data validation checks to maintain data accuracy and consistency.
Collaborate with analytics and business intelligence teams to support reporting and analytical requirements.
Document pipeline logic, data sources, transformations, and technical procedures.
Follow coding standards, version control practices, and data security guidelines.
Participate in code reviews, testing, and continuous improvement initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field, or equivalent practical experience.
0–3 years of experience in data engineering, software development, data analytics, or a related technical field.
Working knowledge of Python for scripting, data processing, and automation.
Proficiency in SQL, including joins, aggregations, subqueries, and data manipulation.
Understanding of ETL/ELT concepts and data pipeline development.
Basic familiarity with Apache Spark and distributed data processing.
Knowledge of relational databases and data modeling fundamentals.
Understanding of data cleaning, validation, and transformation techniques.
Familiarity with Git or other version control tools.
Strong analytical thinking, problem-solving, and debugging skills.
Good written and verbal communication skills.
Must currently reside in the United States.

Preferred Qualifications

Exposure to PySpark for large-scale data transformations.
Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
Basic knowledge of data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
Understanding of data lake and lakehouse architectures.
Familiarity with workflow orchestration tools such as Apache Airflow.
Exposure to Docker, CI/CD, or automated testing.
Understanding of batch processing, incremental loads, and data pipeline scheduling.
Familiarity with dimensional modeling and data warehouse design.
Academic projects, internships, or personal projects involving data pipelines or big data technologies.

Technical Skills Skill CategoryRequired / Preferred SkillsProgrammingPythonDatabase QueryingSQLData IntegrationETL/ELT pipelinesBig Data ProcessingApache Spark, basic PySparkDatabasesRelational database conceptsVersion ControlGit, GitHub or GitLabCloud PlatformsAWS, Azure, or Google Cloud - preferredData WarehousingSnowflake, Redshift, or BigQuery - preferredWorkflow OrchestrationApache Airflow - preferredCore CompetenciesDebugging, data quality, problem-solving Salary and Benefits

Annual base salary: $75,000–$115,000 USD.
Full-time employment.
Remote, hybrid, or on-site work arrangements, depending on the position.
Potential benefits may include health insurance, retirement plans, paid time off, and professional development opportunities, depending on the employer.
Opportunities to develop skills in cloud data engineering, distributed computing, and scalable data architecture.

The salary range is indicative and not a verified offer. Actual compensation may vary by employer, experience, location, and role requirements. Work Locations Opportunities may be available in the following U.S. markets:

Seattle, Washington
Austin, Texas
Dallas, Texas
New York City, New York
Atlanta, Georgia

Remote Work Requirements

Candidates must currently reside in the United States.
Applicants must be eligible to work in the United States under the employer's applicable hiring requirements.
Remote employment is subject to state-specific payroll eligibility and company policies.
Some positions may require occasional office attendance or collaboration during U.S. business hours.

Equal Employment Opportunity We are committed to providing equal employment opportunities to qualified applicants. Employment decisions are made in accordance with applicable federal, state, and local laws. How to Apply Interested candidates should submit an updated résumé highlighting their Python, SQL, ETL, and Spark skills. Applicants are encouraged to include internships, academic projects, GitHub repositories, or portfolio examples demonstrating data pipeline development and transformation experience. Please include your current U.S. city and state in your application to confirm location eligibility. Job Summary CategoryDetailsJob TitleJunior Data EngineerExperience0–3 yearsEmployment TypeFull-timeWork ArrangementRemote / Hybrid / On-siteSalary$75K–$115K annuallyCore SkillsPython, SQL, ETL, SparkLocationsSeattle, Austin, Dallas, NYC, AtlantaCandidate LocationMust currently reside in the U.S.

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More about this job

Skills

Data engineering
Python
SQL
Apache Spark
Reporting
Process data
Payroll
Troubleshoot
Business intelligence
Apply information security policies
Process improvement
Computer science
Computer technology
Software development
Data analysis
Data modelling
Cleaning
Git
Analytical skills
Problem solving
Debugging
Communication skills
PySpark
AWS
Microsoft Azure
Google Cloud
Snowflake
Amazon Redshift
BigQuery
Workflow
Apache Airflow
Docker
CI/CD
Test automation
Scheduling
Data warehouse
GitHub
Collaboration

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