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Database Extract Transfer Load Jobs in Rochester, NY

Data Engineer

Rochester, NY · On-site

$113K - $136K/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

Geneseo, NY · On-site

$110K - $132K/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 Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic ... LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks * Basic ...

Data Scientist II

Pittsford, NY · Hybrid

$99K - $124K/yr

Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files * Basic ... LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks * Basic ...

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

... ETL/ELT pipelines for data ingestion, processing, and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions ...

Lead Engineer

Webster, NY · On-site

$155K - $225K/yr

... extraction technologies, including: - Two-phase cooling systems (boiling/evaporative heat transfer ... Background in system controls for managing dynamic thermal loads and phase-change systems

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Database Extract Transfer Load information

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

AspectDatabase Extract Transfer LoadData Analyst
Primary RoleDesigning and managing data pipelines for data movementAnalyzing data to generate insights and reports
SkillsSQL, ETL tools, database managementData visualization, statistical analysis, SQL
Work EnvironmentData warehouses, ETL platforms, cloud servicesBusiness intelligence tools, spreadsheets, dashboards

While Database Extract Transfer Load specialists focus on building and maintaining data pipelines, Data Analysts interpret data to support decision-making. Both roles require SQL skills, but their core responsibilities differ significantly, with ETL and data management versus data analysis and reporting.

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Data Engineer

Bespoke Labs

Rochester, NY • On-site

$113K - $136K/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