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Senior Data Engineer 500K 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 ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Role: Senior Data Engineer Location: Bloomfield, CT; Denver, CO; Austin, TX; NYC, NY; virtual work is possible for the right candidates Duration: 6-12 months What You Will Do: The Senior Data ...

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

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

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 ...

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will lead the development of cloud-native data platforms and pipelines that ingest, process, store, govern, and serve high-volume structured, semi-structured, and ...

New

Aioi USA & MOTER Tech

Senior Data Engineer

Torrance, CA · On-site

$128K - $169K/yr

The Senior Data Engineer will lead the development of cloud-native data platforms and pipelines that ingest, process, store, govern, and serve high-volume structured, semi-structured, and ...

New

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

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 ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

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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Senior Data Engineer 500K information

See salary details

$81K

$126.3K

$175K

How much do senior data engineer 500k jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior data engineer 500k 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 senior data engineer?

A Senior Data Engineer is an experienced technology professional responsible for designing, building, and maintaining the infrastructure and tools needed to collect, store, process, and analyze large volumes of data. They work with big data technologies, databases, and data pipelines to ensure data is accessible, reliable, and secure for analytics and business intelligence purposes. Senior Data Engineers often mentor junior team members, make architectural decisions, and collaborate closely with data scientists, analysts, and other stakeholders to enable data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need advanced knowledge in data modeling, ETL processes, database systems, and programming languages such as Python or Scala, typically supported by a degree in computer science or related fields. Familiarity with big data tools like Spark, Hadoop, cloud platforms (AWS, GCP, Azure), and relevant certifications (e.g., Google Professional Data Engineer) are highly valuable. Strong problem-solving, communication, and project management skills help you lead teams and collaborate across departments. These capabilities ensure scalable, reliable data infrastructure and drive impactful business insights.

What are some common challenges senior data engineers face when designing large-scale data pipelines, and how are they typically addressed?

Senior Data Engineers often encounter challenges related to data scalability, ensuring data quality, and maintaining pipeline reliability as systems grow. Handling massive data volumes requires careful architectural decisions, such as choosing the right data partitioning and storage solutions. Addressing these challenges typically involves leveraging distributed processing frameworks (like Spark), implementing robust data validation checks, and collaborating closely with data scientists and DevOps teams for seamless deployment and monitoring. Effective documentation and proactive troubleshooting also play key roles in overcoming these hurdles.

What is the difference between Senior Data Engineer 500K vs Data Architect?

AspectSenior Data Engineer 500KData Architect
Required CredentialsBachelor's/Master's in CS, Data Science, or related; experience with cloud platformsSimilar credentials; often includes certifications like AWS Certified Solutions Architect
Work EnvironmentData pipelines, ETL processes, cloud environmentsDesigning data systems, architecture planning, high-level data strategy
Industry UsageTech, finance, healthcare, e-commerceSame industries, focusing on data infrastructure design
Search & Comparison IntentOften compared for technical roles with hands-on data engineering tasksCompared for strategic, high-level data system planning

While both roles require strong technical skills and similar credentials, Senior Data Engineer 500K focuses on building and maintaining data pipelines, whereas Data Architect emphasizes designing overall data systems and architecture. The choice depends on whether the role is more operational or strategic within an organization.

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Senior Data Engineer 500K jobs near you
Infographic showing various Senior Data Engineer 500K 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

This job post has expired today. Applications are no longer accepted.

The Millennium Group rating

6.6

Company rating: 6.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

314th of 494 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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