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Data Engineer With Jobs in Baton Rouge, LA (NOW HIRING)

Bespoke Labs

Data Engineer

Baton Rouge, LA · On-site

$110K - $132K/yr

What You'll Be Working On You will work directly with our research team on RL environment and task ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

PVI Holdings

Data Systems Engineer

Baton Rouge, LA · On-site

$109K - $132K/yr

The ideal candidate will have strong experience with modern data platforms and a passion for ... Bachelor's degree in Information Systems, Data Engineering, Data Science, or a related field, or ...

JS Consulting

Network Engineer

Baton Rouge, LA · On-site

Job Title- Network Engineer with Data Center Project Location - Baton Rouge LA 70803 - Hybrid Duration- Full-time Interview: WebEx Must have Valid LinkedIn profile. -: The Network Engineering role ...

Cajun Industries

Instrument Engineer

Baton Rouge, LA

Candidates with demonstrated electrical capabilities will be strongly preferred. This role is ... Perform field investigations to gather site data, verify existing conditions, support tie-ins, and ...

Cajun Industries

Instrument Engineer

Baton Rouge, LA · On-site

Candidates with demonstrated electrical capabilities will be strongly preferred. This role is ... Perform field investigations to gather site data, verify existing conditions, support tie-ins, and ...

Cajun Industries

Instrument Engineer

Baton Rouge, LA · On-site

Candidates with demonstrated electrical capabilities will be strongly preferred. This role is ... Perform field investigations to gather site data, verify existing conditions, support tie-ins, and ...

Orbital

Instrument Engineer

Baton Rouge, LA · On-site

Baton Rouge, LA FLSA Classification Exempt Orbital is seeking an Instrument Engineer with 10+ years ... Compensation is based on market data and internal equity and may vary depending on the candidate ...

Nexpera LLC

Maintenance & Reliability Engineer

Darrow, LA · On-site

$90K - $114K/yr

With the industry's largest facility network, we ensure unmatched reliability and drive innovation ... Proactive problem solving and utilization of data in a timely manner. PHYSICAL REQUIREMENTS / WORK ...

EMCO Technologies

Systems Engineer 3

Baton Rouge, LA · On-site

Collaborate with networking and infrastructure teams to implement, optimize, troubleshoot, and ... Ensure data security for information in transit and at rest. * Administer user and group access ...

Kobie Marketing

AI Engineer

Baton Rouge, LA · Remote

Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services) * Contribute to refining our internal engineering patterns as the stack evolves What you ...

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All JobsData Engineer With JobsData Engineer With Jobs in Baton Rouge, LA

Data Engineer With information

See Baton Rouge, LA salary details

$42.7K

$124.6K

$170.4K

How much do data engineer with jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer with in Baton Rouge, LA is $124,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 per year, depending on experience, location, and employer.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Baton Rouge, LA? For Data Engineer With jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Baton Rouge, LA look for? The top searched job categories for Data Engineer With jobs in Baton Rouge, LA are:
Data Engineer With jobs near you
Infographic showing various Data Engineer With job openings in Baton Rouge, LA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,559 per year, or $59.9 per hour.

Data Engineer

Bespoke Labs

Baton Rouge, LA • On-site

$110K - $132K/yr

Full-time

Posted 28 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

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