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Data Engineer 300K Jobs (NOW HIRING)

scalr

AI Engineer

Sunnyvale, CA ยท On-site

AI Engineer (Forward Deployed) SF/NYC - $200k-$300k - early equity Join a small, high-calibre AI ... Prepare and curate training data from messy, real-world inputs * Debug training and inference ...

scalr

AI Engineer

Fremont, CA ยท On-site

AI Engineer (Forward Deployed) SF/NYC - $200k-$300k - early equity Join a small, high-calibre AI ... Prepare and curate training data from messy, real-world inputs * Debug training and inference ...

scalr

AI Engineer

Hayward, CA ยท On-site

AI Engineer (Forward Deployed) SF/NYC - $200k-$300k - early equity Join a small, high-calibre AI ... Prepare and curate training data from messy, real-world inputs * Debug training and inference ...

scalr

AI Engineer

Mundelein, IL ยท On-site

AI Engineer (Forward Deployed) SF/NYC - $200k-$300k - early equity Join a small, high-calibre AI ... Prepare and curate training data from messy, real-world inputs * Debug training and inference ...

Transparent Search Group

AI Engineer

Sunnyvale, CA ยท Hybrid

$225K - $300K/yr

AI Engineer Automotive Software Innovation (Sunnyvale, CA | Hybrid | $225K to $300K) About the ... Collaborate with data and engineering teams to operationalize ML pipelines using MLOps best ...

Mackenzie Health Care

Big Data Architect

New York, NY ยท On-site

$69.75 - $89.75/hr

... Programming paradigm, HBase, Pig, Hive Cassandra 2+ years experience with administration ... 300k + DOE - Excellent benefits * If interested, please follow the link that is provided - Elaine ...

MLabs

Senior Infrastructure Engineer

$180K - $300K/yr

Remote - United States Compensation: $180K - $300K Join a stellar team of leaders and experts in ... Your data may be shared only with clients and trusted partners where necessary for recruitment ...

Mackenzie Health Care

Big Data Architect

New York, NY ยท On-site

$69.75 - $89.75/hr

... Programming paradigm, HBase, Pig, Hive Cassandra 2+ years experience with administration ... 300k + DOE - Excellent benefits * If interested, please follow the link that is provided - Elaine ...

Omnyon

Software Engineer

Annapolis Junction, MD

$80K - $300K/yr

... large data sets, real-time systems, and business management information systems) based upon ... Salary range: $80k - $300k Salary for this position, along with additional benefit compensation ...

Omnyon

Software Engineer

Annapolis Junction, MD ยท On-site

$80K - $300K/yr

... large data sets, real-time systems, and business management information systems) based upon ... Salary range: $80k - $300k Salary for this position, along with additional benefit compensation ...

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Data Engineer 300K information

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$44.5K

$129.7K

$177.5K

How much do data engineer 300k jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data engineer 300k in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What engineers make 300,000 a year?

Data engineers can earn $300,000 or more annually, especially those with extensive experience, advanced skills in big data tools, cloud platforms, and strong programming knowledge. High salaries are often found in large tech companies, finance, or specialized industries, and may include bonuses and stock options.

What occupations make 500,000 a year?

High-paying occupations that can reach or exceed $500,000 annually include senior data engineers, specialized software engineers, investment bankers, corporate executives, and certain medical specialists. These roles often require advanced skills, extensive experience, and sometimes certifications or advanced degrees.

What are Data Engineers and what do they do?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure needed to collect, store, and process large sets of data. Their work enables organizations to manage data efficiently and make it accessible for analysis by data scientists and other stakeholders. Data Engineers often work with big data technologies, databases, and tools for data integration, ensuring high performance, reliability, and scalability of data pipelines. Earning a high salary, such as $300K, typically requires advanced expertise, experience with complex architectures, and contributions to large-scale or mission-critical projects.

What careers pay $300,000 a year?

Data engineers with extensive experience, advanced skills in big data tools, and certifications can reach salaries around $300,000 annually, especially in high-demand industries or senior roles. Other high-paying careers include specialized roles in finance, law, medicine, and executive management, often requiring advanced degrees and significant expertise.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn around $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require expertise in cloud platforms, distributed systems, and data architecture, along with leadership responsibilities.

What are some common challenges Data Engineers face when managing large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as ensuring data quality, optimizing pipeline performance, and handling data schema changes across large-scale, distributed systems. Addressing these issues typically involves implementing robust data validation checks, utilizing scalable data processing frameworks like Apache Spark, and adopting version control practices for data schemas. Collaboration with data scientists, analysts, and DevOps teams is also key to addressing integration and deployment challenges, ensuring that data pipelines remain reliable and efficient as business needs evolve.

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

To thrive as a Data Engineer, you need strong programming skills (especially in Python, Java, or Scala), expertise in database management, and a solid understanding of data architecture, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Apache Spark, Hadoop, and cloud platforms such as AWS or Azure, as well as certifications like AWS Certified Data Analytics, are commonly required. Excellent problem-solving abilities, collaboration, and effective communication distinguish top performers in this role. These skills are vital for efficiently designing, building, and maintaining scalable data infrastructure that enables organizations to make data-driven decisions.

What is the difference between Data Engineer 300K vs Data Scientist?

AspectData Engineer 300KData Scientist
Required SkillsSQL, Python, ETL, Big Data toolsStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, infrastructure, backend systemsData analysis, modeling, research
Industry UsageData engineering teams, cloud platformsAnalytics teams, research departments

Data Engineer 300K and Data Scientist roles often share skills like Python and data handling. However, Data Engineer 300K focuses on building and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles are vital in data-driven organizations, but their daily tasks and skill emphasis differ significantly.

More about Data Engineer 300K jobs
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What states have the most Data Engineer 300K jobs? States with the most job openings for Data Engineer 300K jobs include:
What job categories do people searching Data Engineer 300K jobs look for? The top searched job categories for Data Engineer 300K jobs are:
Data Engineer 300K jobs near you
AI Engineer

AI Engineer

scalr

Sunnyvale, CA โ€ข On-site

Other

Posted 14 days ago

Job description

AI Engineer (Forward Deployed)


SF/NYC - $200k-$300k - early equity


Join a small, high-calibre AI team working at the frontier of model development and deployment.


This is a hands-on Applied ML role focused on LLM post-training, fine-tuning, and evaluation, adapting models for real-world use cases and pushing performance in production environments.


What Youโ€™ll Do:

  • Fine-tune and iterate on LLMs
  • Build and run evaluation frameworks to measure real performance
  • Prepare and curate training data from messy, real-world inputs
  • Debug training and inference issues, improving model reliability
  • Support deployment of models into production environments


What Weโ€™re Looking For:

  • Strong hands-on experience with LLM post-training and fine-tuning
  • Deep understanding of evaluation methodology and model quality
  • Comfortable with training infrastructure and debugging training runs
  • Strong Python engineering fundamentals and experience shipping ML systems
  • Ability to operate in fast-paced, ambiguous environments

Apply