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Data Engineer 300K Jobs (NOW HIRING)

Together For Talent

Data Engineer

Manhattan, NY · Hybrid

$150K - $300K/yr

Data Engineer | Early Hire Location: New York, NY (Hybrid) Salary: $150-300k Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform ...

Prodege LLC

Principal Data Engineer

... 300K queries per day across multiple engines. This is a deeply hands-on principal role. We are ... The evolution of Data Engineering toward a more AI-first way of working What Makes This Role ...

Crosby

Head of Data

New York, NY · On-site

$220K - $300K/yr

The Team The Engineering team builds the core systems and data infrastructure that power Crosby ... Compensation Range: $200k-$300k

Artie Technologies Inc

Software Engineer

San Francisco, CA · On-site

$150K - $300K/yr

We make high-volume data replication simple, reliable, and scalable for engineering teams. Our ... Terraform, Kubernetes, and Helm on GCP and AWS Compensation & Benefits * $150K-$300K base salary ...

Higher People

Software Engineer

San Francisco, CA

$150K - $300K/yr

We make high-volume data replication simple, reliable, and scalable for engineering teams. Our ... Terraform, Kubernetes, and Helm on GCP and AWS #Perks * $150K-$300K base salary, depending on ...

scalr

AI Engineer

Santa Rosa, CA

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

Sonoma, CA

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

San Jose, CA

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

San Mateo, CA

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

San Francisco, CA

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

Santa Clara, CA

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

Alameda, CA

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 ...

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All JobsData Engineer 300K Jobs

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

Data Engineer

Together For Talent

Manhattan, NY • Hybrid

$150K - $300K/yr

Full-time

Medical, Dental, Vision

Posted yesterday

Job description

Data Engineer | Early Hire

Location: New York, NY (Hybrid)

Salary: $150-300k

Headquartered in New York, we are a booming healthtech software start-up building an AInative physical care platform, starting with home health, to remove the massive administrative waste that drags down US healthcare. Our AI automates backoffice work, letting us serve patients who currently go untreated while operating with meaningfully higher margins than traditional providers. We’ve brought together top AI talent (from leading tech and quantitative firms) and experienced healthcare operators to deliver care at the speed and scale of an AI company. Due to growth and demand for our product, we are urgently looking for Data Engineers to join the team!

What You'll Do

  • Design, build, and maintain endtoend ETL/ELT pipelines that move data from source systems all the way through to analyticsready models.
  • Own and evolve our modern data stack—including tools like Airflow, dbt, and Snowflake—with a focus on reliability, observability, and costefficiency.
  • Architect and maintain data platform and infrastructure components (orchestration, environments, CI/CD, monitoring) to keep everything running smoothly in production.
  • Partner closely with data analysts, data scientists, and product teams to design clear, wellmodeled datasets that are easy to use.

Who You Are

  • Proven experience as a Data Engineer owning endtoend data pipelines and platforms, rather than primarily analytics or BI/reporting work.
  • Strong SQL skills and proficiency in Python (or a similar language) for building and maintaining production data workflows.
  • Handson experience with Airflow (or similar orchestrators), dbt, and Snowflake (or equivalent cloud data warehouses).
  • A track record of building and operating productiongrade data infrastructure in highgrowth environments (e.g., fastscaling startups or similarly dynamic settings).
  • Clear signals of excellence and high trajectory—such as toptier academic background, impactful work at highgrowth companies, or rapid scope increases over your career.
  • A thoughtful approach to data modeling (e.g., dimensional/Star schemas) and working with semistructured data (JSON, APIs, event streams).
  • Familiarity or interest in healthcare data (claims, clinical data, HL7/FHIR, EHR data) and its nuances.
  • Strong communication and collaboration skills—you’re proactive, kind, and enjoy working closely with crossfunctional partners.

What We Offer

  • Competitive base salary ($150-300k DOE)
  • Equity
  • Comprehensive benefits package (Medical, Dental, Vision)
  • Flexible hybrid schedule
  • Real ownership in a high-growth and cutting-edge environment
  • High exposure, working closely with leadership
  • Opportunity for growth: fast-track path to a strategic decision-making role for interested candidates
  • Fun, professional, and innovative company culture
  • Mission-driven vision to fix US healthcare systems

So, if you're a Data Engineer ready to make a difference, please apply today!