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Data Engineer 200K Jobs (NOW HIRING)

Hired Recruiters

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud ... Salary: $150k - $200k * Job required skills: Python, PySpark, AWS Location Anywhere on the planet ...

Shaped

Data Engineer

Brooklyn, NY · On-site

$130K - $200K/yr

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch ... Salary $130K - $200K * Equity 0.10% - 0.50%

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We are looking for a data engineer to design, build and optimize Shaped's real-time and batch ... Salary $130K - $200K * Equity 0.10% - 0.50%

Ellisor Group

Senior Data Engineer

San Francisco, CA

$125K - $169K/yr

Senior Data Engineer Comp Range: 150-200K base USD + benefits etc.. No 3rd party/C2C Client is re-writing the risk model for the non-QM mortgage market -combining data analytics, proprietary risk ...

Imagine Pediatrics

OR · On-site

$180/hr

What You'll Do As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data ... What We Offer (Benefits + Perks) The target base salary for this position starts at $180-200k in ...

Novig

Backend Engineer, L4

New York, NY · On-site

$1K/day

Backend Engineer $200k - $230k • meaningful equity About Novig Novig is building America's #1 ... You'll work deep in the stack - distributed systems, real-time data pipelines, developer-facing ...

Novig

Full Stack Engineer, L4

New York, NY · On-site

$1K/day

Full Stack Engineer $200k - $230k • meaningful equity About Novig Novig is building America's #1 ... You'll own real-time data pipelines, shape the API that algorithmic traders live in, and have a ...

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All JobsData Engineer 200K Jobs

Data Engineer 200K information

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$46K

$165K

$243.5K

How much do data engineer 200k jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer 200k in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 skills in database management, data modeling, and proficiency in programming languages like Python, SQL, or Java, often supported by a degree in computer science or a related field. Familiarity with big data tools such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as certifications like AWS Certified Data Analytics, is highly valued. Excellent problem-solving, communication, and teamwork skills help Data Engineers collaborate effectively with cross-functional teams and address complex data challenges. These competencies are crucial for designing scalable data pipelines, ensuring data integrity, and enabling reliable analytics in data-driven organizations.

What does a Data Engineer do, and why do they earn salaries up to $200K?

A Data Engineer designs, builds, and maintains the infrastructure that allows organizations to collect, store, and analyze large volumes of data efficiently. They work with tools and technologies like SQL, Python, cloud platforms, and big data frameworks to ensure data is accessible and reliable for analysis. Earning up to $200K typically reflects a senior level of expertise, often involving advanced skills in cloud architecture, distributed systems, and data pipeline optimization. These professionals are in high demand as companies increasingly rely on data-driven decision making. Their work enables data scientists and analysts to perform their jobs more effectively, making Data Engineers crucial to modern tech teams.

What is the difference between Data Engineer 200K vs Data Scientist 200K?

AspectData Engineer 200KData Scientist 200K
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
Required SkillsSQL, ETL, cloud platforms, programming (Python, Java)Statistics, machine learning, data analysis, programming (Python, R)
Common CertificationsGoogle Cloud Certified, AWS Data AnalyticsCertified Data Scientist, SAS certifications
Work EnvironmentData warehouses, cloud platforms, backend systemsResearch, analytics teams, business strategy

Both roles often require similar technical skills and certifications, but Data Engineers focus on data infrastructure, while Data Scientists analyze data to generate insights. The choice depends on whether you prefer building data systems or deriving insights from data.

What opportunities for professional growth and advancement are typically available to Data Engineers in high-paying roles?

Data Engineers in high-compensation roles often have access to a variety of advancement opportunities, such as moving into senior engineering positions, data architecture, or engineering management. These roles frequently offer chances to work on large-scale, complex projects and collaborate closely with data scientists, analysts, and product teams. Professional development is commonly supported through training programs, industry certifications, and mentorship. High-performing Data Engineers may also be involved in shaping data strategy and infrastructure decisions, further enhancing their career trajectory.
Infographic showing various Data Engineer 200K job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineer

Data Engineer

Hired Recruiters

Austin, TX • On-site, Remote

$113K - $136K/yr

Full-time

Posted 26 days ago

Job description

We are looking for a Data Engineer to take significant ownership in building Monte Carlo's cloud service, data pipelines and ML platform. The role will involve end-to-end development: from helping formulate requirements to full production implementation. You will be collaborating with a small team of seasoned engineers in a fast-moving startup environment.
  • Series C company
  • Founded: 2019
  • Funding: $101M
  • Visa: Will transfer H1
  • Salary: $150k - $200k
  • Job required skills: Python, PySpark, AWS

Location
Anywhere on the planet (we work remotely)
What gets you excited
- Building production-grade data pipelines and services to delight customers
- Owning major projects from inception to deployment, shipping at a rapid pace
- Architecting simple yet flexible solutions, and then scaling them as we grow
What gets us excited
- 5+ years of experience delivering production-grade data pipelines and backend services
- Mastery of Python and SQL and perhaps PySpark, familiarity with AWS technologies
- Experience building data pipelines, and perhaps distributed architectures too
- Sense of urgency, ownership mindset, and customer focus

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