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Senior Data Engineer 500K Jobs (NOW HIRING)

Senior Data Engineer

Irvine, CA · On-site

$113K - $154K/yr

Senior Data Engineer Location: Irvine, CA Job Type: Full-Time Job Summary We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Apache Spark, Airflow/Astronomer, and ...

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior Data Engineer Overview: We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly ...

Senior Data Engineer

Plano, TX

$101K - $138K/yr

Senior Data Engineer - Hybrid Role A fast-growing and highly successful consumer financial services company based in Plano, TX 75024, is looking for a Senior Data Engineer to join their expanding ...

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Senior Data Engineer Overview: We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly ...

$194K/yr

Job Title Senior Data Engineer Location Atlanta, Boston, Charlotte, Chicago, Dallas, Houston, Los Angeles, New York Regular/Temporary Regular Summary We have an opening for a Senior Data Engineer.

Senior Data Engineer

Washington, DC · Hybrid

$119K - $162K/yr

Senior Data Engineer Position Type: Hybrid Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based services ...

Sr. Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Job Title: Sr. Data Engineer Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

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 Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Sr. Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Job Title: Sr. Data Engineer Location(s): Chicago, IL ( Hybrid) Key Skills: AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, SQL Overview: We are seeking a highly skilled Sr. Data ...

Senior Data Engineer

Dallas, TX · On-site +1

$105K - $143K/yr

Senior Data Engineer We're Watts. Together, we're reimagining the future of water. We feel proud every day about what we do. We're all part of the same crucial mission, no matter what function we ...

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data modeling and themovement of data from any disparate system ...

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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 Jun 12, 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 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 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 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 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.

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.
More about Senior Data Engineer 500K jobs
What cities are hiring for Senior Data Engineer 500K jobs? Cities with the most Senior Data Engineer 500K job openings:
What are the most commonly searched types of Data Engineer 500K jobs? The most popular types of Data Engineer 500K jobs are:
What states have the most Senior Data Engineer 500K jobs? States with the most job openings for Senior Data Engineer 500K jobs include:
Infographic showing various Senior Data Engineer 500K job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 5% Temporary, and 20% Contract. Highlights an 65% In-person, 15% Hybrid, and 20% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

$113K - $154K/yr

Full-time

Posted 8 days ago


Job description

Overview:
Job Title: Senior Data Engineer
Location: Irvine, CA
Job Type: Full-Time
Job Summary
We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Apache Spark, Airflow/Astronomer, and cloud-native data platforms. The ideal candidate will be responsible for designing, building, and supporting scalable data engineering solutions while ensuring platform reliability, performance, automation, and operational excellence.
This role requires hands-on engineering experience, strong DevOps capabilities, and the ability to independently own technical delivery in a highly collaborative engineering environment.
Required Skills
  • Strong expertise in:
    • Databricks
    • Apache Spark
    • Data Engineering
    • Platform Engineering
  • Hands-on experience with:
    • Airflow
    • Astronomer
    • DAG Design & Orchestration
  • Strong knowledge of:
    • Data Pipeline Architecture
    • Data Quality Frameworks
    • Scalability & Performance Optimization
  • Experience with:
    • CI/CD Pipelines
    • Infrastructure as Code (IaC)
    • Automation Frameworks
    • DevOps Best Practices
  • Strong platform administration experience including:
    • Monitoring
    • Reliability Engineering
    • Operational Readiness
    • Incident Management
  • Experience working with cloud-based data platforms
  • Strong problem-solving and troubleshooting skills
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and data processing frameworks
  • Build and optimize Databricks-based data engineering solutions
  • Perform Spark performance tuning and platform optimization
  • Develop and manage Airflow/Astronomer workflows and enterprise orchestration solutions
  • Implement data quality, monitoring, and reliability frameworks
  • Design and maintain CI/CD pipelines for data platform deployments
  • Automate infrastructure provisioning and operational processes using Infrastructure as Code
  • Ensure platform stability, availability, and operational excellence
  • Collaborate with architects, data engineers, DevOps teams, and business stakeholders
  • Troubleshoot and resolve complex platform and data engineering issues
  • Drive engineering best practices, standards, and continuous improvement initiatives
Preferred Qualifications
  • Experience supporting enterprise-scale data platforms
  • Knowledge of cloud-native architecture and distributed systems
  • Exposure to DataOps and Platform Engineering practices
  • Strong communication and stakeholder management skills