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Data Engineer 300K Jobs (NOW HIRING)

Codes Health, Inc.

Software Engineer

Manhattan, NY · On-site

$160K - $300K/yr

The Work The core challenges are data complexity and reliability under extreme variability. You can ... Compensation Competitive base salary ($160k -$300K depending on years of experience), early-stage ...

Kalepa

Staff Platform Engineer - Infrastructure

OR · On-site +1

$220K - $300K/yr

Salary range: $220k - $300k USD* Location: Remote (USA) We are looking for smart engineers who love ... You'll collaborate with a global team of full-stack, data, AI, and DevOps engineers to build ...

Pickle

Data Scientist

New York, NY · On-site

$170K - $250K/yr

Our marketplace already features 300K+ items listed for rent , and we're just getting started. What ... The next, you'll be digging into referral data to engineer a viral loop that lowers our CAC by half.

Virio

Infrastructure Engineer

San Francisco, CA · On-site

$170K - $300K/yr

San Francisco (in-person, in-office, full-time ONLY) Compensation: $170K-$300K base + $25K-$50k ... Own our data infrastructure : databases, data flows, and the systems that keep them performant ...

Virio

Infrastructure Engineer

San Francisco, CA · On-site

$170K - $300K/yr

San Francisco (in-person, in-office, full-time ONLY) Compensation: $170K-$300K base + $25K-$50k ... Own our data infrastructure : databases, data flows, and the systems that keep them performant ...

Sarah Smith Fund

Staff Software Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Systems and data expertise. Comfort operating Postgres at scale (RDS, Supabase, or self‑managed ... Engineering, Product, Design (EPD) Compensation: $200K - $300K Offers Equity The total rewards ...

F2

Staff Software Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Systems and data expertise. Comfort operating Postgres at scale (RDS, Supabase, or self-managed ... Engineering, Product, Design (EPD) Compensation: $200K - $300K • Offers Equity The total rewards ...

MLabs

Staff Frontend Engineer

Manhattan, NY · On-site

$250K - $300K/yr

New York, United States (Office) On-Site | Full-time Compensation: $250K - $300K We are hiring on ... Data Privacy MLabs Ltd collects and processes the personal information you provide such as your ...

Codes Health

Software Engineer

New York, NY · On-site

$160K - $300K/yr

The Work The core challenges are data complexity and reliability under extreme variability. You can ... Compensation Competitive base salary ($160k -$300K depending on years of experience), early-stage ...

Raydar

Senior/Staff Software Engineer, Platform

$150K - $350K/yr

... storage, security, and data services. • Design and maintain internal developer tooling ... Senior-level compensation may reach $300K base, while staff-level compensation may reach $350K base ...

Eagle

Forward Deployed Engineer

New York, NY · On-site

$150K - $300K/yr

Kotlin for web services, Python for data * Infra: Multitenant shared infra on AWS via Pulumi ... Competitive cash compensation ($150K-$300K depending on experience) * Founding equity, scaled to ...

Ersilia

Full-Stack Engineer

San Francisco, CA · On-site

$200K/yr

The role spans from the data layer to the UI, including the agent swarm interfaces, verification ... 300K Exception: exceptional AI-savvy FDE leads can reach $400K on a case-by-case basis #J-18808 ...

Overland AI

Software Engineer, Platforms

Seattle, WA · On-site

$140K - $300K/yr

Experience with data protocols such as RS 232, CAN, SPI, and I2C. * Experience with drive-by-wire ... The salary range for this position is $140K to $300K annually * Equity compensation * Best-in-class ...

Revolution Search Group

WI · On-site

$300K/yr

Deliver $300K+ in annual documented cost savings and manage a CI project pipeline exceeding $750K ... Strong data analysis skills -- comfortable turning floor observations into measurable KPIs * A bias ...

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All JobsTechnology 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 Sep 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 is a data engineer?

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

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 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 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.

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What cities are hiring for Data Engineer 300K jobs?

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What states have the most Data Engineer 300K jobs?

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For Data Engineer 300K jobs, the most frequently searched job titles are:

Data Engineer 300K jobs near you
Infographic showing various Data Engineer 300K job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Software Engineer, Infrastructure

San Francisco, CA • On-site

SupportFinity™
IT Services • 51 - 200 employees
Learn more about SupportFinity™external

$150K - $300K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance.

  • Architect and scale the data infrastructure and backend services that power Lightfield AI-driven CRM.

  • Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.

Job description

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks.
We’re rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We’re building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful.
We are backed by Greylock, Lightspeed, and Coatue, and our founders previously built Tome, a generative AI presentation product used by over 25 million people. Before Lightfield, our team worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.
About The Role We’re looking for an experienced, creative, and versatile engineer who is eager to tackle the challenge of architecting, building, and scaling the core infrastructure and systems powering Lightfield's AI-driven CRM.
At Lightfield, engineers take ownership of projects from inception to impact, collaborating across functions and pushing the envelope on what’s possible in applied AI and data systems. You’ll play a critical role in designing and building the data models and infrastructure that support a next-generation CRM, ensuring our system is performant, scalable, and resilient.What You’ll Do
  • Build and maintain full-stack systems, end-to-end, ensuring reliability, scalability, and performance.
  • Architect and scale the data infrastructure and backend services that power Lightfield AI-driven CRM.
  • Design and optimize data models to support CRM workflows, customer interactions, and AI-driven insights.
  • Develop observability and metrics to enable smooth operation, proactive issue detection, and continuous improvement.
  • Mentor teammates, participate in code reviews, and help shape engineering culture and practices.
  • Contribute to building a world-class engineering team through recruiting, mentorship, and knowledge-sharing.
Who You Are
  • 3+ years of experience in software development, with a strong background in infrastructure, data modeling, and backend systems.
  • Deep experience building scalable, high-performance data infrastructure that can support complex customer workflows and large-scale data processing.
  • Strong understanding of database design, indexing strategies, and query optimization, especially in PostgreSQL or similar relational databases.
  • You’re excited about Large Language Models (LLMs) and the opportunity to build systems that support and leverage them.
  • You have the ability to ramp quickly on tech stack that features TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
  • Strong fundamentals in software engineering, with a degree in Computer Science or a related field.
  • Thrives in ambiguity, able to independently drive projects and deliver results in a fast-moving environment.
  • Clear communicator, capable of articulating technical decisions to both technical and non-technical stakeholders.
  • Passionate about building products customers love, ensuring our CRM is intuitive, intelligent, and indispensable.
Benefits & Perks
  • Competitive salary
  • Meaningful early equity
  • Health insurance (medical, dental, vision)
  • 3 weeks of PTO
  • 11 paid company holidays + we enjoy a winter holiday break
  • 3 months of paid family leave
  • Wednesdays work from home
  • Regular team dinners, events, offsites, and retreats
  • 401k plan
  • Other perks include: commuter and lunch stipend

Compensation Range: $150K - $300K

About the company

Lightfield

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