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Seasonal Data Engineer Python Jobs in Laredo, TX

Data Engineer

Laredo, TX

$98K - $117K/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 ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Basic Python programming skills. * Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a ...

Basic Python programming skills. * Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a ...

Basic Python programming skills. * Strong database management and data analytical skills. * Excellent analytical, problem-solving, and communication skills. * Ability to work collaboratively in a ...

Working closely with Business Analysts, Data Architects and stakeholders across the business, the ... Knowledge of GIT, SQL Server performance tuning, or analytics languages (e.g., R, Python) is a plus

AI Automation Engineer -Remote

Laredo, TX · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Digital Analyst Internships

Laredo, TX

$84K - $99K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and ...

Seasonal Data Engineer Python information

See Laredo, TX salary details

$40.4K

$144.9K

$213.7K

How much do seasonal data engineer python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for seasonal data engineer python in Laredo, TX is $144,853.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $149,200.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

$98K - $117K/yr

Full-time

Posted 3 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