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Data Engineer Data Jobs in Melbourne, FL (NOW HIRING)

Bespoke Labs

Data Engineer

Melbourne, FL

$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 ...

Bespoke Labs

Data Engineer

Melbourne, FL · 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 ...

L3HHCM20

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

Lead, Data Engineer Job Code: 41065 Job Location: Melbourne, FL or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other ...

L3HHCM20

Principal, Data Engineer

Melbourne, FL · On-site +1

$153K - $284K/yr

Principal, Data Engineer Job Code: 41066 Job Location: Melbourne, FL; or Remote Opportunity Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Melbourne, FL

Data Engineer Data information

See Melbourne, FL salary details

$42.6K

$153K

$225.7K

How much do data engineer data jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data engineer data in Melbourne, FL is $152,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $157,600.00 per year, depending on experience, location, and employer.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are popular job titles related to Data Engineer Data jobs in Melbourne, FL? For Data Engineer Data jobs in Melbourne, FL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data jobs in Melbourne, FL look for? The top searched job categories for Data Engineer Data jobs in Melbourne, FL are:
What cities near Melbourne, FL are hiring for Data Engineer Data jobs? Cities near Melbourne, FL with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Infographic showing various Data Engineer Data job openings in Melbourne, FL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $152,959 per year, or $73.5 per hour.

Data Engineer

Bespoke Labs

Melbourne, FL

$106K - $127K/yr

Full-time

Re-posted 17 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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