ZipRecruiter

Log In

1

Data Engineer 200K Jobs (NOW HIRING)

Bretton AI

Forward Deployed Engineer

San Francisco, CA · On-site

$150K - $200K/yr

Strong backend or data engineering background * Experience with Python, APIs, data pipelines, and ... Comfort working with enterprise customers Compensation & Benefits * $150k - $200k base salary ...

SLR Search

Staff Backend Engineer

New York, NY

$200K - $250K/yr

Join an elite team as a Senior Backend Engineer architecting the high-performance data backbone and ... Staff Backend Engineer Benefits -- Starting Salary targeting $200K-$250K -- Equity stake of 0.5% to ...

Crosby

Data Scientist

New York, NY · On-site

$200K - $300K/yr

The Team The Engineering team builds the core systems and infrastructure that power Crosby's AI ... Compensation Range: $200k-$250k

next page

Showing results 1-20

All JobsData Engineer 200K Jobs

Data Engineer 200K information

See salary details

$46K

$165K

$243.5K

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

As of Jun 9, 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.
Senior Software Engineer (Data Platform)

Senior Software Engineer (Data Platform)

1872 Consulting

Manhattan, NY

$135K - $178K/yr

Other

Retirement

Posted yesterday

Job description

Senior Software Engineer Opportunity At Striveworks

Striveworks is a leader in Machine Learning Operations for highly regulated industries such as the Department of Defense/U.S. Military. They enable their customers to extract actionable insight from their data at the point of collection and indefinitely in the future with the help of AI/Machine Learning. The product they offer allows their clients to monitor, manage, integrate, visualize, export, and analyze their data to inform decisions and streamline business.

They are looking to double the team that they have currently of about 60 employees over the next year. They are a startup, and this is a very unique opportunity to join the team in their fastest growing stages.

Location: Austin, TX and NYC (two openings)

Salary: 200K-275K

Bonus: annual and performance based

401K Match: n/a

Benefits: Equity - Owners have a history of another startup that turned to IPO in 5 years. The company offers a generous equity plan to be a stakeholder and participate in the company's success.

Position Summary

As a Senior Software Engineer at Striveworks, you'll be challenged - and trusted - on day one to be a core contributor to the projects and direction of the company. You will be helping to develop data storage and streaming features, tooling, and automation for their next generation MLOps platform. You will be rapidly prototyping and delivering proofs of concept for customers. You will work alongside a team of Data Scientists to integrate their work into functional products.

Requirements
  • 5+ years of relevant experience
  • Proficiency with Python (most important) and Golang
  • Strong SQL skills
  • Comfortability with Docker and Kubernetes
  • Expertise in database design and architecture: relational, document, embedding, graph
Nice To Haves
  • Typescript experience
  • Experience with public (AWS, GCP, Azure) and/or private (OpenStack) clouds
  • Hadoop, Hive, or Spark experience
  • Knowledge of batch and stream processing systems (Flyte, Airflow, Flink)

*Extremely driven, motivated, and humble team of very smart and great people. This job requires someone who is willing, motivated, and excited to collaborate and grow the company.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014

View All 1872 Consulting Jobs

Apply