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Senior Data Engineering Jobs (NOW HIRING)

Senior Data Engineer

Arlington, VA ยท On-site

$122K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... The ideal candidate brings deep engineering expertise and experience supporting analytics in large ...

Senior Data Engineer

Arlington, VA ยท Hybrid

$121K - $165K/yr

Senior Data Engineer General Information Requisition # 683 Locations USA-VA-Arlington Posting Date ... The ideal candidate brings deep engineering expertise and experience supporting analytics in large ...

Senior Data Engineer

New York, NY ยท On-site

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... This person will define and execute a strategic Data Engineering Roadmap that maximizes the value ...

Senior Data Engineer

Washington, DC ยท On-site

$120K - $163K/yr

Senior Data Engineer Location: on-site (DC Metro area) with occasional Remote Clearance: Public ... Collaborate with engineering, DevSecOps, and cloud teams * Tune large-scale queries in Oracle ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... What we need is someone who comes 8+ years of experience in the Data Engineering space who ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... What we need is someone who comes 8+ years of experience in the Data Engineering space who ...

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... What we need is someone who comes 8+ years of experience in the Data Engineering space who ...

Sr GCP Data Engineer

Austin, TX

$114K - $137K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data ... * 6+ years of data engineering experience * Strong Python programming skills * Production ...

Senior Data Engineers

Los Angeles, CA ยท On-site

$114K - $155K/yr

Senior Data Engineer - Media Org (Hybrid NYC or LA) I'm working on a Senior Data Engineer search ... The engineering group is very collaborative and looking for someone who enjoys hands-on technical ...

Sr. Data Engineer

Richland, WA ยท On-site

$97K - $195K/yr

Additionally, the Sr. Data Engineer partners closely with business leaders and executives to help ... Design, develop, and maintain scalable data engineering solutions using Databricks, including Spark ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Sr. Data Engineer

Richland, WA

$119K - $143K/yr

Additionally, the Sr. Data Engineer partners closely with business leaders and executives to help ... Design, develop, and maintain scalable data engineering solutions using Databricks, including Spark ...

Senior Data Engineer

Fort Worth, TX ยท Hybrid

$70K - $120K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... This role will work closely with engineering and analytics teams to ensure reliable, secure, and ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Senior Data Engineer

Fort Worth, TX ยท Hybrid

$70K - $120K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... This role will work closely with engineering and analytics teams to ensure reliable, secure, and ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in ...

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Senior Data Engineering information

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$16

$56

$81

How much do senior data engineering jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for senior data engineering in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a Senior Data Engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-demand industries or regions with a strong tech presence. Factors such as experience, expertise in tools like Spark or Hadoop, and certifications can influence compensation levels.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer, and why are they important?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes base salary, bonuses, and stock options, reflecting their expertise in data architecture, cloud platforms, and programming languages like Python or Scala.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

What engineers make $300,000 a year?

Senior Data Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation varies by industry, location, and company size, with some roles in finance or technology offering higher salaries for senior-level professionals.

How does a Senior Data Engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.
More about Senior Data Engineering jobs
What cities are hiring for Senior Data Engineering jobs? Cities with the most Senior Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Senior Data Engineering jobs? States with the most job openings for Senior Data Engineering jobs include:
What job categories do people searching Senior Data Engineering jobs look for? The top searched job categories for Senior Data Engineering jobs are:
Infographic showing various Senior Data Engineering job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.
Senior Data Engineer

Senior Data Engineer

Elder Research

Arlington, VA โ€ข On-site

$122K - $165K/yr

Full-time

Posted 10 days ago


Job description

Senior Data Engineer
General Information
Requisition # 683
Locations USA-VA-Arlington
Posting Date 03/20/2026
Security Clearance Required - ACTIVE IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.
We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and performance of analytical workflows across both legacy and modern analytics environments.
The ideal candidate brings deep engineering expertise and experience supporting analytics in large-scale production systems within regulated environments.
Responsibilities include but are not limited to:
  • Design, develop, and maintain data pipelines and analytical infrastructure supporting fraud detection analytics.
  • Integrate analytical models and rules into operational production systems.
  • Ensure reliability and continuity of production analytics workflows during operational cycles.
  • Support testing, validation, and migration of analytical models and logic across platforms.
  • Perform data extraction, transformation, and feature engineering for large-scale analytics datasets.
  • Collaborate with IT and platform teams to resolve data and infrastructure issues.
  • Support modernization efforts to improve scalability and performance of analytical environments.
  • Maintain documentation for data pipelines, analytical workflows, and system integrations.

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • 8+ years of experience in data engineering, analytics engineering, or production analytics system support.
  • 3+ years supporting analytics in fraud detection, compliance, identity theft, or similarly regulated environments.
  • Strong experience supporting analytics across legacy and modern enterprise platforms.
  • Expertise working with large and complex datasets in distributed environments.
  • Proficiency with SQL, Python, and data engineering frameworks used in analytics development.
  • Experience with Databricks, PostgreSQL, or comparable enterprise analytics platforms.
  • Demonstrated ability to support data extraction, transformation, feature engineering, and model execution pipelines.
  • Experience supporting testing, validation, troubleshooting, and migration of analytical logic and models.

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Ability to coordinate effectively with IT teams, data scientists, and program stakeholders.
  • Strong documentation and communication skills for technical and operational audiences.

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.