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Data Engineer 500K Jobs (NOW HIRING)

Data Engineer II

New York, NY · Hybrid

$120K - $135K/yr

Data Engineer II US - East Coast (Remote) At Magnite, we cultivate an environment of continuous ... Examples include probabilistic services able to handle over 500k requests a second, and optimising ...

Data Engineer II

New York, NY · On-site

$120K - $135K/yr

Data Engineer II US - East Coast (Remote) At Magnite, we cultivate an environment of continuous ... Examples include probabilistic services able to handle over 500k requests a second, and optimising ...

Data Engineer II

Buffalo, NY · Hybrid

$120K - $135K/yr

Data Engineer II US - East Coast (Remote) At Magnite, we cultivate an environment of continuous ... Examples include probabilistic services able to handle over 500k requests a second, and optimising ...

Data Engineer II

Boston, MA · Hybrid

$120K - $135K/yr

Data Engineer II US - East Coast (Remote) At Magnite, we cultivate an environment of continuous ... Examples include probabilistic services able to handle over 500k requests a second, and optimising ...

Sr. Data Infrastructure Engineer

Richmond, VA · On-site

$107K - $146K/yr

... data storage for 500K+ customers in 175+ countries, including businesses, developers, IT ... professionals, and individuals. But while there is a lot to celebrate in our past, there is almost ...

Sr. Data Infrastructure Engineer

Manhattan, NY · On-site

$119K - $162K/yr

... data storage for 500K+ customers in 175+ countries, including businesses, developers, IT ... professionals, and individuals. But while there is a lot to celebrate in our past, there is almost ...

... 500K of customers a day and our operation is complex 3. PowerBI 4. Independent with minimal ... This is not a PowerBI developer role. Required Skills : Data Analysis,SQL Basic Qualification

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Data Engineer 500K information

See salary details

$51.5K

$147.5K

$197K

How much do data engineer 500k jobs pay per year?

As of Jun 5, 2026, the average yearly pay for data engineer 500k in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a Data Engineer 500K job?

A Data Engineer 500K job typically refers to a high-paying data engineering role, often at top tech companies, hedge funds, or startups, where total compensation (salary, bonuses, and stock options) reaches $500,000 or more. These roles usually require strong expertise in data infrastructure, ETL pipelines, cloud platforms, and big data technologies. Candidates often have years of experience in software engineering, distributed systems, and working with large-scale datasets. High-paying Data Engineer roles are common in industries like finance, AI, and big tech, where data efficiency directly impacts business success.

What are the key skills and qualifications needed to thrive in the Data Engineer 500K position, and why are they important?

To thrive as a Data Engineer 500K, you need a solid background in computer science, expertise in designing data architectures, and advanced proficiency with programming languages such as Python or Java, often supported by a related degree or equivalent experience. Familiarity with big data frameworks (e.g., Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and certifications in these tools are highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies collectively enable Data Engineers to build robust, scalable data systems that drive business insights and operational efficiency.

What are the main challenges Data Engineers face in high-compensation roles such as this one?

Data Engineers in high-compensation roles like this often work on complex, large-scale data infrastructure projects that require not only technical expertise but also the ability to adapt quickly to evolving technologies. One common challenge is optimizing data pipelines for both performance and reliability while managing massive volumes of data from diverse sources. Additionally, close collaboration with data scientists, engineers, and business stakeholders is necessary to understand data requirements and ensure high-quality, accessible datasets. Success in this environment depends on staying up to date with new tools, embracing continuous learning, and adeptly balancing immediate project needs with long-term architectural considerations.
What cities are hiring for Data Engineer 500K jobs? Cities with the most Data Engineer 500K job openings:
What are the most commonly searched types of Data Engineer 500K jobs? The most popular types of Data Engineer 500K jobs are:
What states have the most Data Engineer 500K jobs? States with the most job openings for Data Engineer 500K jobs include:
Infographic showing various Data Engineer 500K job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 64% In-person, 12% Hybrid, and 24% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Data Engineer II

Magnite

New York, NY • Hybrid

$120K - $135K/yr

Full-time

Medical, Life, Retirement

Posted 7 days ago


Job description

Data Engineer II

US - East Coast (Remote)

At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day!

About this team:

You will join the Innovative Services Group (part of the wider Audience team).Innovative services build solutions across the Audience group (and beyond) that are leveraged by other teams. Examples include probabilistic services able to handle over 500k requests a second, and optimising how compute is deployed in our data pipelines yielding very high cost savings across the teams.

The wider Audience team is responsible for managing and delivering the first and third-party data that powers all of the platforms that Magnite operates. We're a globally distributed team of software and data engineers who build and operate huge scale data pipelines and real-time scaled services to enable Magnite and Magnite's customers to reach their goals.

In this role, you will:

Note: given the seniority of this position, we don't expect you to be here on day one, but this is what you can expect to grow into.

This role is focused on the data engineering side of the team's responsibilities, and this job listing reflects that, but there is an opportunity to get involved more broadly.

  • Build and optimize data pipelines using Apache Spark and Python, processing billions of events in both streaming and batch modes. We work at TB scale.

  • Collaborate with senior data engineers to improve Magnite's Audience data pipelines by identifying and implementing innovative solutions.

  • Own the operational performance of your builds, ensuring uptime and implementing recovery strategies.

  • Collaborate with SRE teams to provision infrastructure using Terraform and AWS (future Kubernetes on-premise).

  • Proactively identify and help solve impactful problems.

We're looking for someone with:

More than anything we expect you to love learning and see problems as things to overcome rather than blockers. You are part of a team that moves fast, makes incremental improvements towards a vision and solves problems other teams are struggling with.

You should look at this list and our tech stack and think "wow i want to learn that", rather than being an expert. We expect you to have expertise with 1-2 items and familiarity with a couple more. Most candidates will have 2+ years of experience.

  • Hands-on experience with Apache Spark (mainly PySpark). Ideally, you will have written a variety of pipelines that you have deployed in production.

  • Strong Python skills, particularly in the context of Databricks and Spark.

  • Data pipeline design knowledge, from sourcing event data to creating queryable data layers.

  • Familiarity with event-based data architecture (e.g., Kafka).

  • SQL experience for data analysis and transformations.

  • Hands-on experience with AWS and Terraform for IaaS solutions.

  • Experience writing Jenkins or Github actions pipelines to run build and integration actions.

  • GoLang for distributed service development

  • Kubernetes experience

Our current tech stack:

  • Python, Golang, Rust, Java / Spring Boot

  • ECS, Fargate, Kubernetes

  • Spark, Databricks

  • Luigi, Airflow

  • Docker

  • ALB, HAProxy

  • RDS, MariaDB, Postgres

  • Redis, Memcache

  • Kafka, SNS, SQS

  • Terraform, Github Actions, Jenkins

  • JavaScript / TypeScript / React

  • Linux (both on-premise and AWS)

In the US East Coast (including NYC and Boston), the base salary range for this role is $120,000 - $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity.

This role is also eligible for:

  • Annual performance-based bonus

  • Equity (NASDAQ: MGNI)

  • Comprehensive benefits package

During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location.

Perks and Benefits:

  • Comprehensive Healthcare Coverage from Day One

  • Generous Time Off

  • Holiday Breaks and Quarterly Wellness Days

  • Equity and Employee Stock Purchase Plan

  • Family-Focused Benefits and Parental Leave

  • 401k Retirement Savings Plan with Employer Match

  • Disability and Life Insurance

  • Cell Phone Subsidy

  • Monthly Fitness and Reimbursement

Career Growth:

We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs.

Company Culture:

Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform.

About Us

The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC.

Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class.

Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.

Want to learn more about us?

Check out our blog for Magnite announcements and Ad Tech industry news!

Recruiting Agency Notice

Magnite does not accept agency resumes and is not responsible for any fees related to unsolicited resumes.