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 4, 2026

Hiring at a glance

View jobs

Open jobs: 4,505
Employers: 1,998

Advertised starting pay

Average starting payUSD / year: $126,319Across 800 listings
Average starting payUSD / hour: $60.64Across 461 listings

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

Where work happens

Remote: 12%552 listings
Hybrid: 6%288 listings
On-site: 7%337 listings

Not specified: 74% (3,328 listings)

Employers hiring include Eliassen Group (295), Booz Allen Hamilton_United States (73), 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 3 mins ago
Data Engineer
Stellantis
Auburn Hills, MI
The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that…
Added 13 mins ago
Data Engineer 4 (Python, Oracle Database)
Capital One
Riverwoods, IL
…real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the…
Added 13 mins ago
C
Lead Data Engineer-Snowflake
Cognizant
Springfield, IL
- $115,000 to $135,000 USD / year
As a Lead Data Engineer – Snowflake , you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational…
Added 45 mins ago
IG
Lead Data Engineer - dbt, Python, SQL, Databricks
Insight Global
Westbrook, ME
- From $68 USD / hour
Advanced SQL and strong data modeling expertise.
Added 1 hour ago
Associate Data Engineer – AI & Analytics - 2027
IBM
Buffalo, NY
Added 1 hour ago
Sr. Associate, Data Engineer PySpark
KPMG LLP
NEW YORK, NY
Added 1 hour ago
Data Engineer
Figma, Inc.
NEW YORK, NY
We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. Youll also work closely with stakeholders…
Added 2 hours ago
Data Engineer
Sedgwick Claims Management Services Inc.
Telecommuter, TX
Added 2 hours ago
Data Engineer – Senior
CGI Technologies and Solutions, Inc.
Huntsville, AL
CGI Federal is seeking a Senior Data Engineer to support large scale data engineering and migration activities for a major federal modernization program. This role is responsible for…
Added 2 hours ago
J
Data Engineer Client Data Operations
Jobgether
Remote, United States
- $115,000 to $145,000 USD / year
…all applications and next steps. Our partner is looking for a Data Engineer Client Data Operations based in the United…
Added 7 hours ago
C
Lead Data Engineer-Snowflake
Cognizant
Helena, MT
- $115,000 to $135,000 USD / year
As a Lead Data Engineer – Snowflake , you will make an impact by designing and delivering scalable, high-performance data solutions that enable critical business insights and operational…
Added 7 hours ago
Senior Data Engineer
Highmark Health
Phoenix, AZ
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 8 hours ago
Information Technology - Data Engineer 130-2049
CommunityCare
Tulsa, OK
The Data Engineer will be responsible for expanding, optimizing and monitoring our data and data pipeline architecture, as well as optimizing data flow and collection across organizational…
Added 8 hours ago
Senior Data Engineer
Highmark Health
Honolulu, HI
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 8 hours ago
Senior Data Engineer
Highmark Health
Augusta, ME
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 9 hours ago
EU
Lead Data Engineer
Experis USA
New Providence, NJ
- $70 to $75 USD / hour
We are seeking an experienced Senior Data Engineer with strong hands-on expertise in Snowflake, SQL, Python, and enterprise data warehouse development. The ideal candidate will have…
Added 9 hours ago
Senior Data Engineer
Highmark Health
Lincoln, NE
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 9 hours ago
Senior Data Engineer
Highmark Health
Providence, RI
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 9 hours ago
Senior Data Engineer
Highmark Health
Carson City, NV
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 9 hours ago
Senior Data Engineer
Highmark Health
Jackson, MS
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 9 hours ago
Databricks Engineer & AI Enablement Architect - Data Engineer III
Deloitte US
Baltimore, MD · Rosslyn, VA · Washington, DC
As a Data Engineer III on the AI & Engineering team, you will be res
Added 9 hours ago
Data Engineer Internship - Summer 2027
FLIGHTSAFETY INTERNATIONAL, INC.
Darbydale, OH
Added 9 hours ago
Data Engineer Lead
Huntington National Bank
Columbus, OH
The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry…
Added 9 hours ago
Senior Data Engineer
Highmark Health
Columbus, OH
…design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for…
Added 10 hours ago
Data Engineer III - ETL
JPMC page
Jersey City, NJ
As a Data Engineer III at JPMorganChase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and…

Jobgether

Data Engineer Client Data Operations

Remote, United States

$115,000 to $145,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $115,000 to $145,000 USD / year
Experience: Several years of hands-on data engineering experience, ideally 4+ years, including building, maintaining, and operating production data pipelines.
Posting language: English

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer Client Data Operations based in the United States.

The Data Engineer will play a key role in building, maintaining, and optimizing the data infrastructure that supports client marketing campaigns, audience management, and business reporting. This hands-on position focuses on onboarding new client data, transforming complex and inconsistent source files into reliable production-ready datasets, and ensuring data pipelines operate efficiently. You will take ownership of production workflows, troubleshoot technical issues, and develop scalable ingestion processes using modern cloud technologies. Working closely with analytics, campaign, account, and technical teams, you will help ensure data accuracy, security, and seamless campaign delivery. This is an individual contributor role offering significant autonomy and the opportunity to improve operational processes within a growing, data-driven environment. The position is fully remote across the United States, with a preference for candidates located in the Dallas, Texas area.

Accountabilities:

•

Client Data Onboarding: Set up and manage incoming data feeds from client and vendor systems, including SFTP connections and scheduled file deliveries. Analyze source files, identify missing fields, inconsistent formats, and schema changes, and map incoming information into established database structures.

•

Data Validation and Processing: Develop validation, identity matching, and data preparation processes, including record-count reconciliation, LTID assignment, and CASS/NCOA processing when applicable. Ensure data quality before it enters production workflows.

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Pipeline Development: Build, maintain, and optimize scalable data pipelines using SQL, Python, and Spark to support new direct mail and digital marketing clients. Establish reusable data structures and avoid unnecessary one-off solutions.

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Workflow Automation: Configure scheduled jobs, file monitoring, transformations, testing, and automated alerts to minimize manual intervention and improve pipeline reliability.

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Production Monitoring and Troubleshooting: Own daily monitoring and maintenance of Databricks workflows, AWS jobs, and related data tools. Investigate and resolve pipeline failures, schema changes, expired credentials, broken dependencies, stale data, and vendor-related issues.

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Campaign and Mail Production: Manage routine audience and direct mail production activities, including data suppression, address hygiene, record reconciliation, quality control, and preparation of files for external vendors, following established approval procedures.

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Operational Documentation: Create and maintain clear documentation covering data sources, transformations, validation processes, outputs, troubleshooting procedures, and recovery workflows.

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Data Security and Compliance: Identify sensitive information and apply approved privacy, access, and data-handling policies. Escalate ambiguous data governance or privacy questions to the appropriate stakeholders.

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Cross-Functional Collaboration: Work closely with the Senior Analytics Engineer to provide clean, consistent, well-documented datasets for downstream modeling, analysis, and reporting.

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Stakeholder Communication: Collaborate with campaign, account management, and technical teams to clarify requirements, resolve data issues, communicate delivery risks, and recommend appropriate solutions.

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Continuous Improvement: Identify opportunities to strengthen pipeline monitoring, automate recurring tasks, improve operational efficiency, and reduce dependency on manual troubleshooting.

Requirements:

•

Several years of hands-on data engineering experience, ideally 4+ years, including building, maintaining, and operating production data pipelines.

•

Strong proficiency in SQL and Python, with practical experience using Apache Spark or comparable large-scale data processing technologies.

•

Experience with cloud-based data engineering environments, particularly Databricks and AWS or equivalent cloud platforms.

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Demonstrated ability to investigate unfamiliar, inconsistent, or poorly documented data sources and transform them into reliable production-ready feeds.

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Experience with data orchestration, workflow automation, monitoring, schema mapping, file-based integrations, and pipeline testing.

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Familiarity with version control systems such as Git, access management, operational documentation, and production support practices.

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Strong understanding of data quality principles, including record validation, deduplication, identity matching, reconciliation, and error detection.

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Experience handling personally identifiable information (PII) and protected health information (PHI), with an understanding of privacy and security requirements in regulated environments.

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Excellent analytical and problem-solving skills, with strong attention to detail and the ability to identify root causes rather than simply address symptoms.

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Ability to work independently, manage competing priorities, and take ownership of production issues in a fast-paced environment.

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Strong communication skills, including the ability to explain technical challenges and potential solutions to both technical and non-technical stakeholders.

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Sound professional judgment, particularly when handling sensitive information or situations requiring business-rule and privacy-related decisions.

Additional experience considered an advantage:

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Experience with direct mail data processing, digital marketing audience management, and campaign delivery workflows.

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Familiarity with CASS/NCOA, AccuZIP, AccuTrace, USPS tracking, audience deduplication, and suppression processes.

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Previous experience working with healthcare, Medicare, or health plan marketing data.

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Knowledge of SFTP, Amazon S3, Parquet, and client-facing reporting integrations.

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Experience working with digital marketing data sources and APIs.

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Residence in or around Dallas, Texas, is preferred but not required.

Benefits:

•

Competitive annual base salary: $115,000–$145,000, depending on experience and qualifications.

•

Fully remote working arrangement within the United States.

•

Opportunity to take ownership of critical production systems and data engineering processes.

•

Direct involvement in meaningful projects supporting healthcare, financial services, and other complex industries.

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Opportunity to work with modern data technologies, including SQL, Python, Spark, Databricks, and AWS.

•

Professional development through hands-on technical challenges and collaboration with experienced analytics professionals.

•

Opportunity to contribute to the development of scalable systems and improve established operational processes.

•

Collaborative environment within a growing, performance-driven team.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

Apply About employer

More about this job

Skills

Reporting
Troubleshoot
Cloud technologies
SQL
Python
Apache Spark
Digital marketing
Workflow
Troubleshooting
Databricks
AWS
Quality control
Documentation
Communication skills
Process improvement
Data engineering
Process data
Control systems
Git
Problem solving
Attention to detail
Work independently

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