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Python Kubernetes Software Engineer Data Jobs in Mississippi

Data Engineer

Southaven, MS · On-site

$104K - $125K/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 ...

Senior Software Developer

Houston, MS · On-site

$48.50 - $64/hr

The Senior Software Developer will help modernize and extend our core in-house business system ... Python. * Build and optimize SQL-based data solutions for reporting, analytics, and business ...

Project Engineer, Data Center Construction

Canton, MS · On-site

$58K - $75K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... As a Data Center Project Engineer, you will be a part of a creative, diverse team tasked with ...

Project Engineer, Data Center Construction

Canton, MS · On-site

$58K - $75K/yr

You'll join a diverse team of software, hardware, and network engineers, supply chain specialists ... As a Data Center Project Engineer, you will be a part of a creative, diverse team tasked with ...

Ensure data security for information in transit and at rest. * Administer user and group access ... for software-defined storage, backup, and recovery. * Strong understanding of Kubernetes ...

Software Developer Responsibilities: * Modifying software to fix errors, adapt it to new hardware ... Create packaging instructions data base, to display the way the parts should be pack. * Create a ...

Software Developer Responsibilities: * Modifying software to fix errors, adapt it to new hardware ... Create packaging instructions data base, to display the way the parts should be pack. * Create a ...

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Data Engineer

Bespoke Labs

Southaven, MS • On-site

$104K - $125K/yr

Full-time

Posted 26 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