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Data Engineer 300K Jobs (NOW HIRING)

Eagle

Staff Software Engineer

New York, NY · On-site

$150K - $300K/yr

Build and deploy the core layers of our platform: data connectors, document intelligence, and a ... Competitive cash compensation ($150K-$300K depending on experience) * Founding equity, scaled to ...

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.

M2S Group

Manufacturing Engineer

Nekoosa, WI · On-site

$300K/yr

Support a culture of safety, standardization, and data-driven decision-making to deliver measurable ... Deliver measurable cost savings exceeding $300K annually by improving machine reliability ...

MLabs

Principal Software Engineer - US

$220K - $300K/yr

Compensation: $220K - $300K Are you a technical leader ready to build the next generation of ... Your data may be shared only with clients and trusted partners where necessary for recruitment ...

Virio

Founding Infrastructure Engineer

San Francisco, CA · On-site

$180K - $300K/yr

San Francisco (in-person, in-office, full-time ONLY) Compensation: $180K-$300K base + $25K-$50k ... Own our data infrastructure : databases, data flows, and the systems that keep them performant ...

Eagle

Design Engineer

New York, NY · On-site

$150K - $300K/yr

The hard part isn't only modeling the data-it's making non-deterministic, agentic systems legible ... Competitive cash compensation ($150K-$300K depending on experience) * Founding equity, scaled to ...

Wynd Labs

Full Stack Engineer

New York, NY · On-site

Full Stack Engineer $180k - $300k Who We Are. Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass. Grass is a network ...

Wynd Labs

Senior Rust Engineer (Backend)

New York, NY · On-site

Senior Rust Engineer (Backend) $180k - $300k Who We Are. Wynd Labs is an early-stage startup that is on a mission to make public web data accessible for AI through contributions to Grass. Grass is a ...

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All JobsData Engineer 300K Jobs

Data Engineer 300K information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jul 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 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 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
What cities are hiring for Data Engineer 300K jobs? Cities with the most Data Engineer 300K job openings:
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
Infographic showing various Data Engineer 300K job openings in the United States as of July 2026, with employment types broken down into 32% Internship, 27% Full Time, 2% Part Time, 2% Contract, 36% Nights, and 1% Summer. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Staff Backend Software Engineer

Senior Staff Backend Software Engineer

2Bridge Partners

New York, NY • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Senior Staff Software Engineer — Real-Time Distributed Systems (C#, .NET, gRPC)


2Bridge Partners has been engaged in the search for a direct-hire Senior Staff Software Engineer with a strong background building real-time, message-based B2B or trading applications in C#, .NET, and gRPC.


Our client is an established technology firm developing high-throughput, multi-tenant platforms used by institutional customers. The engineering environment is centered around real-time data distribution, low-latency messaging, high concurrency, and event-driven architectures. This role is ideal for engineers who want to influence platform design while remaining hands-on with complex distributed systems.

Compensation: $200K–$300K base plus a significant discretionary performance-based bonus.


What You’ll Do:

  • Architect, design, and deliver components of a highly scalable, distributed, real-time computing platform.
  • Build and refine low-latency, message-driven services using gRPC and modern .NET.
  • Develop reusable patterns, shared libraries, and framework-level abstractions.
  • Lead performance tuning across messaging, compute, network, and storage layers.
  • Own critical platform services supporting high-volume API and UI workloads.
  • Collaborate with engineering leadership to shape architectural direction.


Required Experience:

  • 10–15+ years of professional experience with extensive work in C# and .NET.
  • Strong experience with gRPC and cloud-based service architectures.
  • Expertise with distributed messaging and event-streaming technologies including Kafka, RabbitMQ, and Redis.
  • Strong understanding of backend fundamentals including high-volume message processing, interprocess communication patterns, and database performance.
  • Experience building multi-tenant, event-driven B2B systems requiring millisecond-level updates.
  • Experience building frameworks or shared service layers.
  • Strong interest in clean architecture and high engineering standards.


Non-Technical Requirements:

  • Strong analytical and architectural reasoning.
  • High ownership mindset with strong follow-through and initiative.
  • Ability to work independently and collaborate effectively.
  • Strong communication skills.


Education:

  • Bachelor’s degree or higher in Computer Science, Engineering, or related technical discipline preferred.


Nice to Have:

  • NYC metro candidates preferred for hybrid collaboration (flexible for exceptional candidates).


Benefits:

  • Medical, Dental, and Vision coverage
  • Retirement plan (401k or IRA)
  • Paid vacation, sick time, and holidays
  • Life insurance options
  • Short- and long-term disability coverage