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Sr Data Engineer Jobs (NOW HIRING)

Millennium Group

Sr Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Sr. Data Engineer (Java / Snowflake / DataStage / Python) Overview We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will ...

FOCUSPOINT

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary) Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a ...

CFS

Senior Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

  • Medical

  • Retirement

  • PTO

Senior Data Engineer Salary: $125,000-$155,000 Benefits: Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI area (Onsite) Why You Should Apply:

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP Corporation? IP Corporation is a privately held, family-owned chemical manufacturing organization with ...

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) to make the world safer, more secure ...

Smart Data

Senior Data Engineer

Cincinnati, OH

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL ...

Rays Techsolutions Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job Summary We are seeking a Senior Data Engineer with strong expertise in Databricks , AWS , PySpark , and ...

SolGenie

Senior Data Engineer

$108K - $147K/yr

We have a contract opportunity for Senior Data Engineer ( Remote) with one of our clients. Detailed s is provided below. Title: Senior Data Engineer : Microsoft Fabric Duration: 9+ Months Work ...

Kanshe Infotech

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Senior Data Engineer Location: Charlotte, NC Job Type: Long-Term Contract Top Skills: Python | SQL | AWS/Azure | Databricks | Spark/PySpark | ETL/ELT | Data Pipelines We are seeking a Senior Data ...

Ad Hoc LLC

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group, designing scalable Microsoft Fabric data platforms. Responsibilities include establishing ...

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Sr Data Engineer information

See salary details

$81K

$126.3K

$175K

How much do sr data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for sr data 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.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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Cities with the most Sr Data Engineer job openings:

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Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Sr Data Engineer

Millennium Group

Plano, TX • On-site

$110K - $132K/yr

Other

Posted 11 days ago

The Millennium Group rating

6.6

Company rating: 6.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

312th of 492 rated business services

Job description

Sr. Data Engineer (Java / Snowflake / DataStage / Python)
Overview
We are seeking a Senior Data Engineer / Full Stack Developer to support enterprise data engineering initiatives. This role will focus on building and maintaining data solutions that support analytics and customer interaction platforms across multiple business domains.
Key Responsibilities
  • Design, develop, and support scalable data engineering solutions.
  • Build and maintain data pipelines and integrations using modern data technologies.
  • Develop solutions leveraging Java, Python, Snowflake, and DataStage.
  • Support cross-channel customer interaction and analytics initiatives.
  • Collaborate with business stakeholders, architects, and engineering teams.
  • Contribute to AI/ML-related initiatives and advanced analytics solutions.
  • Support end-to-end solution development, implementation, and adoption.
  • Ensure alignment with enterprise architecture and strategic technology direction.
Required Skills
  • Strong Data Engineering experience
  • Java
  • Snowflake
  • IBM DataStage
  • Python
  • Full Stack Development experience
  • Experience designing and supporting enterprise data solutions
Preferred Skills
  • Kafka
  • AI/ML experience
  • Advanced Analytics experience
  • Experience working with large enterprise data environments

What The Millennium Group employees say

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