Data engineer jobs in the United States (4,775 jobs)

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

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 4,775
Employers: 2,043

Advertised starting pay

Average starting payUSD / year: $126,821Across 867 listings
Average starting payUSD / hour: $62.22Across 521 listings

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

Where work happens

Remote: 12%565 listings
Hybrid: 6%306 listings
On-site: 8%377 listings

Not specified: 74% (3,527 listings)

Employers hiring include Eliassen Group (394), Booz Allen Hamilton_United States (70), 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 1 day ago
Senior AI Data Engineer - GPSC Insights Engineering
General Motors LLC
Austin, TX
As a Senior AI Data Engineer, you will design, build, and optimize industrialized data asset
Added 1 day ago
Senior Data Engineer
General Motors LLC
Austin, TX
We are looking for a hands-on Machine Learning Engineer with at least seven years of experience to productionize machine learning for manufacturing and to build the data engineering that…
Added 1 day ago
Senior Data Engineer
General Motors LLC
Austin, TX
We’re seeking a Senior Data Engineer to design and operate reliable data platforms while helping build user-facing applications that make data accessible and actionable. This role combines…
Added 1 day ago
B
Customer Data Engineer - Pre-Sales
Bluesight
Remote, United States
- $80,000 to $95,000 USD / year
Added 1 day ago
Data Engineer II
Bank of America, National Association
United States
Added 1 day ago
Senior Data Engineer
RSM US LLP
United States
Added 1 day ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Frankfort, KY
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the
Added 1 day ago
Data Engineer
LEIDOS, INC.
Remote, United States
The Homeland Sector at Leidos currently has an opening for a Data Engineer with a strong backgroun
Added 1 day ago
Data Engineer
LEIDOS, INC.
Remote, United States
Leidos is seeking a Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program. The engineer…
Added 1 day ago
Senior Data Engineer
LEIDOS, INC.
Remote, United States
Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.
Added 1 day ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Richmond, VA
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the
Added 1 day ago
ESS, Principal Software & Data Engineer
SK Battery America
Troy, MI
The Principal Software & Data Engineer will be a foundational member of the Energy Management Systems (EMS) engineering organization, responsible for designing and building the software and…
Added 1 day ago
MA
Senior Data Engineer
Manufacturers and Traders Trust Co
Buffalo, NY · Wilmington, DE
- $97,100 to $161,800 USD / year
Designs, develops, tests, deploys and supports complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies…
Added 1 day ago
MA
Lead Data Engineer
Manufacturers and Traders Trust Co
Buffalo, NY · Wilmington, DE
- $116,400 to $194,000 USD / year
Designs, develops, implements and operates highly complex data pipelines, data products and data management solutions across modern cloud, warehouse and lakehouse platforms. Applies strong…
Added 1 day ago
Platform and Data Engineer
Booz Allen Hamilton_United States
Honolulu, HI
…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 1 day ago
Data Engineer, Mid
Booz Allen Hamilton_United States
Aurora, CO · Alexandria, VA
…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 1 day ago
Tableau Data Engineer & Modeler
TechInsights
Denver, CO
Added 1 day ago
Data Engineer
FIS Management Services LLC
United States
The Enterprise Data & AI Platform team provides the data-integration and platform capabilities that support Capital Markets p
Added 1 day ago
Data Engineer II
Numerator
Chicago, IL
As a Data Engineer II at Numerator, you will help our team deliver data products, analytics, and models quickly and independently. The role is cross-functional and responsible for…
Added 1 day ago
RH
Data Engineer
Robert Half
Memphis, TN
- $70 to $85 USD / hour
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business…
Added 1 day ago
Data Engineer - Data Domain Architect Associate Senior - Payment Operations
JPMC page
Plano, TX · Tampa, FL
As a Data Domain Architect in the Strategy, Innovation & Governance Data team within Payments Operations, you will provide data
Added 1 day ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
Added 1 day ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
Added 1 day ago
Data Engineer - Snowflake & DBT
Kapitus
Arlington, VA
Added 1 day ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Hartford, CT
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the

LEIDOS, INC.

Data Engineer

Remote, United States

Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

Apply About employer

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Job details

Pay: Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Experience: 3–5+ years of professional experience in data engineering, database development, software engineering, BI engineering, or a related technical discipline.
Posting language: English
Posted: Nov 6, 2026

Original job description

•

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

The Homeland Sector at Leidos currently has an opening for a Data Engineer with a strong background in data analytics to support an exciting DHS software development program. The Data Engineer is responsible for designing, developing, implementing, and maintaining the data architecture, pipelines, integrations, and data structures required to transform raw operational data into reliable, accessible, and analysis-ready information. The Data Engineer works across application, database, analytics, and business teams to ensure that data is accurately collected, integrated, transformed, governed, secured, and made available for reporting, business intelligence (BI), advanced analytics, and decision support.

Expected Duties and Responsibilities Data Architecture and Engineering

Design logical and physical data models appropriate for analytical workloads.
Develop data structures that integrate information from multiple applications, databases, files, APIs, logs, and external data sources.
Evaluate existing data architectures and recommend improvements to reliability, scalability, performance, maintainability, and accessibility.
Support the design and implementation of data warehouses, data marts, data lakes, lakehouses, and other analytical data repositories as appropriate.

Data Integration and Pipelines

Design, develop, test, deploy, and maintain ETL/ELT processes and automated data pipelines.
Extract and integrate data from relational databases, applications, APIs, flat files, logs, and other structured and semi-structured sources.
Develop repeatable processes for transforming raw transactional data into standardized, analysis-ready datasets.
Implement scheduling, orchestration, monitoring, error handling, and recovery capabilities for data pipelines.
Develop interfaces and data feeds supporting downstream reporting, dashboards, analytics platforms, and external systems.

Data Transformation and Quality

Clean, normalize, deduplicate, validate, and transform data.
Investigate data discrepancies and work with application developers, database administrators, analysts, and business users to determine root causes.
Implement controls that prevent data-quality problems from propagating into downstream reports and analytical products.

Business Intelligence and Analytics Support

Develop curated datasets and data models optimized for BI, reporting, visualization, and analytical workloads.
Work with BI analysts and business stakeholders to translate business questions into data requirements.
Support development of common definitions and calculation methodologies for enterprise metrics and key performance indicators (KPIs).
Support ad hoc analytical requests when new data sources or transformations are required.
Assist analysts in understanding data lineage, relationships, limitations, and appropriate use.

Data Governance and Documentation

Document data sources, transformations, interfaces, business rules, dependencies, lineage, and data definitions.
Maintain technical documentation for data pipelines, models, interfaces, and analytical repositories.
Support development and maintenance of data dictionaries and metadata repositories.

Database and Performance Engineering

Develop and optimize complex SQL queries, stored procedures, views, and data transformations.
Analyze and improve performance of analytical queries and data-processing workloads.
Work with Database Administrators (DBAs) to optimize database structures supporting analytical requirements.
Recommend indexing, partitioning, aggregation, caching, or other techniques where appropriate.
Ensure analytical workloads do not adversely affect production transactional systems.

Security and Compliance

Implement data-engineering solutions consistent with organizational cybersecurity and privacy requirements.
Apply appropriate access controls to sensitive data.
Support data classification, encryption, auditing, logging, retention, and protection requirements.
Work with cybersecurity personnel to ensure data movement and storage comply with applicable security requirements.
Support protection of sensitive information, including PII and other controlled or restricted data.

Software Engineering and DevSecOps

Develop maintainable data-engineering code using established software development practices.
Maintain data pipeline code and configuration under version control.
Participate in peer reviews, testing, configuration management, and change-control processes.
Develop automated tests for data transformations and pipelines.
Support CI/CD and automated deployment practices for data-engineering components.
Troubleshoot production data-processing failures and perform root-cause analysis.

Basic Qualifications

Must be a U.S. Citizen
Must be capable of receiving a Public Trust clearance level.
Must have verifiable accredited education.

Education Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline.

Experience Requirements

3–5+ years of professional experience in data engineering, database development, software engineering, BI engineering, or a related technical discipline.
Demonstrated experience designing and developing ETL/ELT processes and data pipelines.
Strong experience with relational databases and SQL.
Experience integrating data from multiple heterogeneous sources.
Experience developing analytical data models, data warehouses, or similar repositories.
Experience troubleshooting data-quality and data-integration issues.

Preferred Qualifications

Experience with technologies such as Azure, AWS, Snowflake, Databricks, Spark, Airflow, dbt, Kafka, Power BI, Tableau, or similar platforms.

Required Technical Skills

The candidate should possess strong proficiency in several of the following areas:

Advanced SQL and relational database concepts
Oracle, SQL Server, PostgreSQL, or comparable RDBMS technologies
Python or another data-processing/programming language
ETL/ELT development
Data modeling and dimensional modeling
Data warehouse architecture
REST APIs and system integration
Data validation and quality management
Git or comparable version-control systems
Automated testing and CI/CD concepts
Structured and semi-structured data processing

Knowledge and Competencies

The successful candidate should demonstrate:

Strong analytical and problem-solving skills.
Ability to understand complex relationships among applications, databases, interfaces, and business processes.
Ability to translate business information requirements into technical data solutions.
Understanding of transactional versus analytical data architectures.
Understanding of data lineage, governance, quality, security, and lifecycle management.
Ability to communicate technical concepts to both technical and nontechnical audiences.
Ability to distinguish between a data problem, application problem, business-process problem, and analytical problem.
Strong documentation and configuration-management discipline.

►Please be advised that during the interview, you will be required to keep your camera on, and your interviewer will be taking your picture for identification purposes if an offer letter is extended to you. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

October 2, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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