1

Data Engineer Developer Operations Jobs in Tucson, AZ

Data Engineer

Tucson, AZ · On-site

$106K - $127K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Junior Tableau Developer

Tucson, AZ · On-site

$64K - $83K/yr

We need Data Science/Machine learning/Data Analyst and Java Full stack candidates Preferred SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Research, select, design, and maintain DevOps automotive-grade solutions. * Conduct research, evaluation, proof of concept, design, development and support of products using emerging technologies for ...

next page

Showing results 1-20

Data Engineer Developer Operations information

See Tucson, AZ salary details

$42.1K

$122.6K

$167.8K

How much do data engineer developer operations jobs pay per year?

As of Jun 24, 2026, the average yearly pay for data engineer developer operations in Tucson, AZ is $122,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $130,000.00 per year, depending on experience, location, and employer.

$106K - $127K/yr

Full-time

Posted 7 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines