Data Engineer: Cloud Data Pipelines & Analytics

Robotics Technologies LLC; Dallas (TX); In loco; USD 100.000 - 150.000; Tempo pieno

Descrizione del lavoro

Robotics Technologies LLC in Dallas, TX is seeking a Data Engineer to transform complex data into trusted information to support program delivery and operational improvements. The role requires designing and building data pipelines, integrating data from multiple sources, and ensuring data quality for actionable insights.

The successful candidate will work with data scientists and policy analysts to support reproducible research, while supporting data conversions and modernization efforts.

Competenze

• Understand policy-relevant research questions and data sources.
• Develop analytics products to deliver actionable insights.
• Self-directed and able to support multiple teams and systems.

Mansioni

• Create and maintain optimal data pipeline architecture.
• Design and implement cloud-based data solutions using AWS services (S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda).
• Build and maintain data orchestration workflows (Airflow, Step Functions).
• Assemble large, complex datasets meeting business requirements.
• Engineer data environments to support statistical analysis, predictive modeling, ML.
• Collaborate with data scientists and policy analysts to ensure reproducible research.
• Identify and implement internal process improvements for data delivery and scalability.
• Build infrastructure for ETL from diverse sources using SQL and big data tech.

Conoscenze

Data pipeline design

SQL

Analytical thinking

Big data

Collaboration

Strumenti

AWS S3

AWS Glue

Amazon Redshift

AWS EMR

Amazon Athena

AWS Kinesis

AWS Lambda

Apache Airflow

AWS Step Functions

Descrizione del lavoro

Robotics Technologies LLC in Dallas, TX is seeking a Data Engineer to transform complex data into trusted information to support program delivery and operational improvements. The role requires designing and building data pipelines, integrating data from multiple sources, and ensuring data quality for actionable insights.

The successful candidate will work with data scientists and policy analysts to support reproducible research, while supporting data conversions and modernization efforts.