10d 18h ago
Data Engineer
OPEN Data Jobs·General Data Engineering · Data and Software
🏢Hybrid
|Washington, United States of Americadata_science/data_engineeringmonitoringpythonsql
Data Engineer
OPEN Data Jobs | General Data Engineering | Data and Software
Hybrid
Full Time
United States of America, Washington
Position:
Data Engineer
Company:
OPEN Data Jobs
Location:
United States, Washington, District of Columbia
Employment type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Data Engineers build and operate systems that move data from its sources to various applications and analyses. They ensure data is accurate, secure, and available at scale, transforming fragmented data into reliable products for AI, reporting, and analytics.
Responsibilities:
- Build ingestion and transformation pipelines for various data sources.
- Develop cloud and on-premises data platforms, including databases and data lakes.
- Implement quality, validation, metadata, lineage, and access-control capabilities.
- Manage operational layers around data products, including orchestration and monitoring.
- Support machine learning and generative AI systems with governed telemetry and feedback data.
Requirement:
- Foundation in programming and query languages, particularly Python and SQL.
- Experience in data ingestion, transformation, storage, and schema design.
- Understanding of batch, streaming, and event-driven processing.
- Practical experience with data quality, metadata, and secure data handling.
- Ability to work in environments where accuracy, privacy, and performance matter.
Benefits:
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
Data Engineer
Company:
OPEN Data Jobs
Location:
United States, Washington, District of Columbia
Employment type:
Full time
Work Arrangement:
Hybrid
Short Summary:
Data Engineers build and operate systems that move data from its sources to various applications and analyses. They ensure data is accurate, secure, and available at scale, transforming fragmented data into reliable products for AI, reporting, and analytics.
Responsibilities:
- Build ingestion and transformation pipelines for various data sources.
- Develop cloud and on-premises data platforms, including databases and data lakes.
- Implement quality, validation, metadata, lineage, and access-control capabilities.
- Manage operational layers around data products, including orchestration and monitoring.
- Support machine learning and generative AI systems with governed telemetry and feedback data.
Requirement:
- Foundation in programming and query languages, particularly Python and SQL.
- Experience in data ingestion, transformation, storage, and schema design.
- Understanding of batch, streaming, and event-driven processing.
- Practical experience with data quality, metadata, and secure data handling.
- Ability to work in environments where accuracy, privacy, and performance matter.
Benefits:
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening.
Required Skills
data_science/data_engineeringmonitoringpythonsql
Required Languages
🇬🇧 English
Key competency: General Data Engineering