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Senior Data Pipeline Engineer Jobs (NOW HIRING)

Sr. Data engineer

Reston, VA ยท On-site

$119K - $143K/yr

Sr. Data engineer Location: Reston, VA Duration: long term Mandatory need: Candidate have to be ex ... Experience building ETL pipelines using AWS Glue. * Experience working with data warehouse ...

Senior Data Engineer

Atlanta, GA ยท On-site

$101K - $138K/yr

Senior Data Engineer Location: Atlanta, GA (Hybrid - Onsite Tuesday-Thursday, per manager ... Key Responsibilities * Assist in designing, building, and maintaining ETL/ELT data pipelines using ...

Senior Data Engineer, Cat Digital

Chicago, IL ยท On-site

$109K - $148K/yr

The Senior Data Engineer role involves supporting the Marketing Data & Engineering team by ... Responsibilities : โ€ข Build data ingestion pipelines using approved patterns โ€ข Implement and ...

New

Sr Data Engineer

Las Vegas, NV ยท On-site

$97K - $131K/yr

This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment. The Senior Data Engineer will lead large ...

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

This role is heavily hands-on and focused on designing and improving Spark-based data pipelines using Databricks, Python, and SQL in a cloud environment. The Senior Data Engineer will lead large ...

Senior Data Engineer, Cat Digital

Chicago, IL ยท On-site

$109K - $148K/yr

The Senior Data Engineer will support the Marketing Data & Engineering team in implementing data ... Responsibilities : โ€ข Build data ingestion pipelines using approved patterns โ€ข Implement and ...

New

Be our next Senior Pipeline Engineer! Your work environment at EXP In this role, you will be a part ... Will provide direction to junior/intermediate engineers to complete data analysis, drawing and ...

Senior Data Engineer

Plano, TX ยท On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and ... Design and build ETL/ELT pipelines using Databricks and PySpark * Develop and maintain data models ...

Senior Data Engineer

Cincinnati, OH ยท On-site

$103K - $140K/yr

The senior data engineer will play a pivotal role in building, managing and optimizing data pipelines and/or datasets and ETL/ELT processes over their life cycles by working closely with a ...

New

Senior Data Engineer

$130K - $160K/yr

Senior Data Engineer Full-Time | Remote | Healthcare An in-person interview is required for this ... Core Responsibilities Data Pipeline amp; Integration * Design, build, and maintain ETL/ELT ...

Sr. Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... This role develops and manages data pipelines, ETL processes, and storage solutions that enable ...

Sr. Data Engineer

Washington, DC ยท On-site

$129K - $155K/yr

The Senior Data Engineer is responsible for designing, building, and maintaining scalable data ... This role develops and manages data pipelines, ETL processes, and storage solutions that enable ...

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF ... Architect and implement data pipelines using Databricks and Delta Lake for batch and streaming data.

Senior Pipeline Engineer

Houston, TX ยท On-site

$91K - $140K/yr

Overview TRC is growing tremendously and is seeking a Senior Pipeline Engineer to join our ... Preparation of equipment specifications and data sheet creation. * Development of field procedures ...

Senior Data Engineer

Dallas, TX

$105K - $143K/yr

Senior Data Engineer We are seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have strong expertise in modern ...

Senior Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

The Senior Data Engineer is also responsible for leading the task of curating datasets and data pipelines created by various business departments, data scientists, and other technology teams. The ...

Sr Data Engineer

$117K - $140K/yr

Position: Sr Data Engineer Developer Location: Remote Years of Exp: 15+ years needed As an Sr Data ... Build and maintain reliable, scalable data pipelines * Common data clouds (AWS, Azure, Snowflake)

Sr Data Engineer

Omaha, NE

$96K - $130K/yr

As our Senior Data Engineer, you'll own the data pipeline that powers DMSi's next generation of data products--from enterprise data access to AI-powered analytics, building, scaling, and evolving our ...

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$126.3K

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

As of Jun 11, 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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Sr. Data engineer

Accord Technologies Inc.

Reston, VA โ€ข On-site

$119K - $143K/yr

Contractor

Posted 7 days ago


Job description

Sr. Data engineer
Location: Reston, VA
Duration: long term

ย 
Mandatory need:ย 
ย Candidate have to be ex-Fannie Mae, and they have to be able to work out of Reston, VA on a hybrid basis.
ย 

Must Haves:

  • Experience with Python for data engineering and ETL development.
  • Strong experience in SQL for data manipulation and complex query building.
  • Hands-on experience with AWS Lambda for serverless data processing.
  • Experience building ETL pipelines using AWS Glue.
  • Experience working with data warehouse solutions (e.g., Redshift, BigQuery, etc.).
  • Experience with Snowflake as a cloud data warehouse.
  • Experience using Apache Airflow for workflow orchestration.
  • Experience with Spark or PySpark for large-scale data processing.
  • Experience usingApache Airflowfor workflow orchestration

Key Responsibilities:

  • Design, build, and maintain scalable and reliable data pipelines using Python and SQL
  • Develop ETL processes using AWS Glue, AWS Lambda, and other AWS services.
  • Build and maintain data integrations between internal systems and external data sources.
  • Work with Data Warehouses to model and manage large-scale datasets for analytics and reporting.
  • Ensure data quality, integrity, and security across the data pipeline.
  • Collaborate with data scientists, analysts, and other engineers to deliver business-critical data solutions.
  • Monitor data pipelines and troubleshoot issues proactively.
  • Experience with Fannie Maeโ€™s data governance frameworks (e.g., DataHub, BCAP).
  • Knowledge of GSE-specific regulations (FHFA, Dodd-Frank).
  • Certifications: Azure Data Engineer (DP-203), Databricks, or AWS.
  • Experience with real-time data streaming (Kafka, Event Hubs).