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Senior Data Pipeline Engineer Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Pipeline Engineer

Dallas, TX · On-site

$113K - $136K/yr

DATA PIPELINE ENGINEER Location: Dallas, TX - Hybrid MUST BE CURRENTLY WORKING AT A BANK A leading global financial institution is seeking a highly skilled Data Pipeline Engineer to drive its unified ...

Snowrelic Inc

Data Pipeline Engineer - W2

Dallas, TX · On-site

$113K - $136K/yr

Data Pipeline Engineer Location: Dallas TX (Hybrid) Must have - (Only Consider 14-15 Years profile) Mandatory Requirements * 3-8 years of experience building and optimizing data pipelines within ...

TEKsystems

FSR Data Pipeline Engineer

Washington, DC

$65 - $75/hr

Description Data Pipeline engineers ensure that our customers work with updated and accurate data in Foundry. You are the first to respond to data health failures on key pipelines. You are technical ...

FullStory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160K - $170K/yr

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory ... You will design and optimize pipelines that process 30 billion+ records per day across customer ...

Onebridge

Sr. Data Engineer - Databricks

$117K - $140K/yr

Design, develop, and maintain robust and scalable data pipelines using Apache Spark and cloud ... in a cloud environment. Sr. Data Engineer - Databricks | Skills & Experience * 7+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Architecture experience in building pipelines, data modeling, data pipeline deployment, data ...

TECHOAUTH SOLUTIONS LLC

Senior Data Engineer

Fort Worth, TX · On-site +1

$70K - $120K/yr

Senior Data Engineer Company: Techoauth Solutions LLC Location: Fort Worth, TX (Hybrid) Job Summary ... Design and build scalable ETL/ELT pipelines using Python and modern data tools * Develop and ...

Incident IQ

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and ... Senior Data Engineer Requirements: * Experience: Minimum of 5-7 years of professional experience in ...

Incident IQ

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and ... Senior Data Engineer Requirements: * Experience: Minimum of 5-7 years of professional experience in ...

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How much do senior data pipeline engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for senior data pipeline engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

How much does a senior data engineer get paid?

A senior data pipeline engineer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like Apache Spark, Kafka, and cloud platforms, which can influence compensation levels.

What is the highest salary for a senior data engineer?

The highest salary for a senior data pipeline engineer can reach over $150,000 to $200,000 annually, depending on experience, location, and company size. Senior roles often require expertise in tools like Apache Spark, Kafka, and cloud platforms, which can influence compensation levels.

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

To thrive as a Senior Data Pipeline Engineer, you need strong expertise in data engineering, programming (Python, Java, or Scala), and a solid understanding of ETL processes, often backed by a degree in computer science or a related field. Familiarity with big data tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as relevant certifications, is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These skills and qualifications are crucial for building robust, scalable, and efficient data pipelines that support critical business analytics and decision-making.

What are some typical challenges Senior Data Pipeline Engineers face when ensuring data quality and reliability?

Senior Data Pipeline Engineers frequently encounter challenges such as handling large volumes of diverse data, ensuring timely and accurate data delivery, and implementing robust monitoring to detect failures early. Managing data consistency across distributed systems and balancing real-time processing with batch workloads are also common hurdles. Collaborating closely with data scientists, analysts, and DevOps teams is essential to resolve data quality issues and maintain reliable pipelines in a dynamic environment.

What is a Senior Data Pipeline Engineer?

A Senior Data Pipeline Engineer is a highly skilled professional responsible for designing, building, and maintaining the systems that move and process large amounts of data within an organization. They ensure data is collected, transformed, and made available to analysts, data scientists, and business applications in a reliable and efficient manner. Senior engineers typically lead projects, mentor junior staff, and make critical decisions about data architecture and technology choices. Their work is essential for organizations that rely on data-driven insights and operations.

What engineer makes $500,000 a year?

Senior Data Pipeline Engineers with extensive experience, specialized skills in tools like Apache Spark and cloud platforms, and leadership responsibilities can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large organizations. Compensation often includes bonuses, stock options, and other incentives for top-tier professionals in the field.

What engineers make 300,000 a year?

Senior Data Pipeline Engineers can earn $300,000 or more annually, especially with extensive experience, specialized skills in cloud platforms, and certifications in data management. Compensation varies by industry, location, and company size, with high-demand roles in technology and finance sectors often offering top-tier salaries.
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Senior Data Pipeline Engineer jobs near you
Senior Data Pipeline Engineer (Temp)

Senior Data Pipeline Engineer (Temp)

Raytheon

Lexington Park, MD • On-site

$102K - $139K/yr

Full-time

Posted 2 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

3rd of 518 rated manufacturers

Job description

Job Summary:
Raytheon, the world's largest aerospace and defense company, is seeking a temporary Senior Data Pipeline Engineer to support their Data Analytics & Systems Engineering team. The role involves executing complex analytics and integration tasks, building and maintaining ETL pipelines, and providing technical guidance to early-career engineers.
Responsibilities:
• Build, maintain, enhance, and troubleshoot ETL pipelines and engineering data workflows.
• Support development and apply analytics using Python, SQL, and enterprise data platforms (Snowflake, ClickHouse, Superset, Power BI, Tableau).
• Perform data modeling, statistical analysis, trend identification, and automation to support program decision-making.
• Implement ML- or NLP‑based analytic modules (e.g., anomaly detection, ambiguity analysis) under technical direction.
• Support system-level data integration, requirements traceability, and cross-tool alignment.
• Assist with preparation of technical documentation, process artifacts, and repeatable workflows that improve engineering efficiency.
• Ensure data quality, validation, and consistency across engineering baselines.
• Collaborate with engineering, program management, and operations teams to translate data into actionable insights.
• Communicate results clearly to technical audiences and internal stakeholders.
• Provide mentorship to early-career engineers or interns on tools and analytical methods.
Qualifications:
Required:
• Typically requires a bachelor’s degree in science, technology, engineering or mathematics (STEM) discipline and 8+ years of prior relevant experience
• Experience with Python, SQL, and modern data engineering workflows.
• Experience performing data analysis, automation, or ETL development.
• Systems engineering fundamentals (requirements, integration, documentation).
• Ability to obtain and maintain a U.S. security clearance, U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
Preferred:
• Experience with Snowflake, ClickHouse, Apache Superset, Power BI, Tableau, or similar analytical tools.
• Experience building automation, dashboards, or predictive analytics models.
• Familiarity with AI/ML techniques (forecasting, anomaly detection, NLP).
• Background in defense systems engineering, sensors, radars, or weapon systems (preferred but not required).
• Background in radar, sensors, command & control, or complex defense systems (desired but not required).
Company:
Raytheon, an RTX business, creates next-generation defense solutions that are smarter, faster and better than previously thought possible. Founded in 1948, the company is headquartered in Waltham, USA, with a team of 10001+ employees. The company is currently Late Stage.

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