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Extract Transfer Load Data Jobs in Missouri (NOW HIRING)

Data Engineer

Independence, MO · 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 ...

Data Engineer

Jefferson City, MO · On-site

$108K - $130K/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 ...

Data Engineer

Jefferson City, MO · On-site

$108K - $130K/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 ...

Data Engineer

Springfield, MO · 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 ...

Data Engineer

Springfield, MO · 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 ...

Prepare detailed functional specifications that drive the design of data model and ETL solutions for data warehouse. This includes developing a broad understanding of the upstream and downstream ...

Staff Data Scientist

California, MO · On-site

$120 - $180/hr

Experience developing, deploying, and maintaining production-quality data ETL/ELT pipelines from various sources using APIs, custom code, and other extraction methods * Experience handling structured ...

Senior AWS Data Engineer

Saint Louis, MO · On-site

$103K - $140K/yr

... ETL Data Pipeline Data Modeling Company : eTeam is a staffing agency that also provides payrolling services. Founded in 1999, the company is headquartered in Somerset, USA, with a team of 501-1000 ...

... ETL solutions for data warehouse. • This includes developing a broad understanding of the upstream and downstream systems and processes, including impact and gap analysis of current databases and ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and implement data security practices. Responsibilities - Design and implement thorough data architecture ...

Showing results 41-60

Extract Transfer Load Data information

What is the difference between Extract Transfer Load Data vs Data Analyst?

AspectExtract Transfer Load DataData Analyst
Primary RoleExtracts, transforms, and loads data for systems or databasesAnalyzes data to generate insights and reports
Skills & CertificationsSQL, ETL tools, data management certificationsSQL, data visualization, statistical analysis
Work EnvironmentData warehouses, ETL pipelines, IT departmentsBusiness intelligence, analytics teams, offices
Industry UsageData integration, database managementBusiness analysis, decision-making

While both roles involve working with data, Extract Transfer Load Data focuses on data extraction, transformation, and loading processes, often in IT or database environments. Data Analysts interpret data to provide insights and support business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

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Data Engineer

Bespoke Labs

Independence, MO • On-site

$104K - $125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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