ZipRecruiter

Log In

1

Data Compute Jobs (NOW HIRING)

Robinhood

Senior Software Engineer, Data Compute

Bellevue, WA · On-site

$138K - $182K/yr

The Data Compute team is a foundational infrastructure group at Robinhood, responsible for managing and evolving the company's large-scale Spark and Airflow environments. This team serves as a ...

Robinhood

Senior Software Engineer, Data Compute

Bellevue, WA · On-site

$138K - $182K/yr

The Data Compute team is a foundational infrastructure group at Robinhood, responsible for managing and evolving the company's large-scale Spark and Airflow environments. This team serves as a ...

Luxury Presence

Staff Data Engineer - US (Remote)

$117K - $140K/yr

... compute) • Airflow (or equivalent orchestration tools) • Kubernetes for running data/compute workloads • Strong SQL and data modeling skills; solid understanding of ETL/ELT patterns , data ...

Purple Drive Technologies

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Experience working with Databricks, EMR, Glue, Synapse, DataProc , or equivalent big-data compute engines. * Proficiency in Python or Scala for data engineering. * Experience with Kafka or other ...

INFINITY AIR INC

Business Analyst - Tarzana

Tarzana, CA · On-site

$23 - $28/hr

You will compile data, compute charges, and prepare invoices. We offer competitive rates, paid vacation & holidays, medical, dental & vision insurance, and matching 401K. Responsibilities: * Perform ...

New

Software Technology Inc

Data Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

Develop architectures for highly scalable and fault-tolerant applications using Cloud, Relational database technologies, Data Warehousing, Machine Learning, and Modern Big Data Compute platforms.

Luxury Presence

Staff Data Engineer - LATAM (Remote)

$117K - $140K/yr

... compute) • Airflow (or equivalent orchestration tools) • Kubernetes for running data/compute workloads • Strong SQL and data modeling skills; solid understanding of ETL/ELT patterns , data ...

Steadfast

Accounting Assistant

San Antonio, FL

$17.25 - $22.75/hr

You will compile data, compute charges, and prepare invoices. Responsibilities: Calculate costs of goods and services Track and record deliveries to customers Distribute invoices for sales review ...

BOTEROHOME.COM

Accounting Assistant

Reston, VA · On-site

$20 - $25/hr

You will compile data, compute charges, and prepare invoices. Responsibilities: * Calculate costs of goods and services * Track and record deliveries to customers * Distribute invoices for sales ...

next page

Showing results 1-20

People also search for

All JobsData Compute Jobs

Data Compute information

See salary details

$44.5K

$129.7K

$177.5K

How much do data compute jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data compute 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 Compute job?

A Data Compute job involves managing and optimizing computational resources for processing large datasets. Professionals in this role work with cloud platforms, distributed computing frameworks, and high-performance computing (HPC) systems to ensure efficient data processing. They collaborate with data engineers and scientists to enhance performance, scalability, and cost-effectiveness of computational workloads.

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

To thrive as a Data Compute professional, you need strong analytical abilities, expertise in data processing, and a relevant degree in computer science, statistics, or a related field. Familiarity with big data platforms (such as Hadoop or Spark), programming languages like Python or SQL, and certifications in cloud computing or data analytics are commonly expected. Attention to detail, problem-solving aptitude, and effective communication are crucial soft skills in this position. These skills are vital for ensuring accurate data interpretation, optimizing compute resources, and collaborating efficiently with other teams.

What are the typical daily responsibilities of someone in a Data Compute role?

In a Data Compute role, your daily tasks may include designing and monitoring data pipelines, running large-scale data processing jobs, and maintaining the integrity and performance of compute infrastructure. You'll frequently collaborate with data scientists, engineers, and analysts to ensure datasets are accessible and optimized for analysis. Troubleshooting data processing bottlenecks, implementing automation solutions, and optimizing cloud or on-premises resources are also common aspects of the job. This role involves a mix of hands-on technical work and strategic planning to support data-driven decision-making across the organization.
More about Data Compute jobs
What cities are hiring for Data Compute jobs? Cities with the most Data Compute job openings:
What are the most commonly searched types of Data Compute jobs? The most popular types of Data Compute jobs are:
What states have the most Data Compute jobs? States with the most job openings for Data Compute jobs include:
What job categories do people searching Data Compute jobs look for? The top searched job categories for Data Compute jobs are:
Data Compute jobs near you
Infographic showing various Data Compute job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Software Engineer, Data Compute

Senior Software Engineer, Data Compute

Robinhood

Bellevue, WA

$138K - $182K/yr

Other

Medical, Life, Retirement, PTO

Posted 21 days ago

Job description

About the team + role

We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Data Compute team is a foundational infrastructure group at Robinhood, responsible for managing and evolving the company's large-scale Spark and Airflow environments. This team serves as a platform provider for all of Robinhood engineering, enabling everything from real-time analytics to critical compliance and operations workflows. We are currently leading major modernization efforts, migrating workloads to Databricks, adopting serverless patterns, and optimizing our lakehouse fundamentals. The team focuses on high reliability, cost efficiency, and delivering an exceptional developer experience for our internal customers!

As a Senior Software Engineer on the Data Compute team, you will be a key builder of our core ingestion and compute primitives. You will design and implement scalable infrastructure that supports millions of daily jobs while modernizing our platform onto Delta Lake and Unity Catalog. Your work will directly impact how data is processed across the entire company, from product engineering to analytics. You'll partner with engineering leaders to drive technical direction and ensure our systems meet the highest standards for performance and governance. This is a chance to define the next generation of data processing at Robinhood!

This role is based in our Bellevue, WA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do
  • Design and build scalable platform primitives for Spark and Airflow to support Robinhood's global data infrastructure needs.
  • Lead the migration and modernization of Spark workloads to serverless Databricks and Delta Lake architectures.
  • Optimize compute resource utilization and efficiency to manage costs across large-scale distributed systems.
  • Collaborate with internal teams across analytics and product engineering to deliver a seamless, self-serve data processing experience.
  • Improve platform reliability and governance by implementing advanced metadata management and access controls via Unity Catalog and Trino.
What you bring
  • Extensive experience with large-scale Spark and Databricks or similar platform infrastructure.
  • Deep expertise in data orchestration using Airflow for complex job lifecycle management.
  • Proven track record with lakehouse fundamentals, including S3-based data lakes and table/storage formats such as Delta Lake and Parquet.
  • Familiarity with query and serving infrastructure such as Trino, Pinot, or Hive Metastore.
  • Ability to own multi-team platform reliability, including cost optimization and developer experience initiatives.
What we offer
  • Challenging, high-impact work to grow your career
  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

Apply