Senior Data Engineer: AI-Ready Data Pipelines & Governance

Robotics Technologies LLC; Sunnyvale (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Robotics Technologies LLC seeks a Senior Data Engineer to design, build, and support scalable data solutions for enterprise wealth and asset management applications. You will own ingestion, transformation, storage, and governance across diverse data sources.

You will implement ETL/ELT pipelines using Python and SQL, design data models on PostgreSQL, RDS, DynamoDB, and S3, and collaborate with AI, DevOps, and security teams to ensure secure, cost-efficient data processing.

Qualifications

• 8+ years of data engineering experience.
• Hands-on with Python, SQL, PostgreSQL, AWS services and cloud data stores.
• Experience building ETL/ELT pipelines and data-processing workflows.
• Experience with data modeling, APIs, JSON, Parquet, and pgvector.
• Understanding of data quality, metadata, governance, security, and monitoring.

Responsibilities

• Design and develop scalable data ingestion and ETL/ELT pipelines.
• Build solutions for structured, semi-structured, and unstructured data.
• Develop reusable data-processing components using Python and SQL.
• Design and support data models using PostgreSQL, RDS, DynamoDB, and S3.
• Support document ingestion and extraction using Textract.
• Prepare data for analytics and AI-enabled use cases.
• Support vector-based retrieval using PostgreSQL/pgvector.
• Implement data quality, validation, governance, metadata, lineage, and security controls.
• Optimize data pipelines and databases for performance, reliability, scalability, and cost.
• Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams.

Skills

Python

SQL

Distributed Computing

ETL/ELT Pipelines

Data Modeling

Data Quality

Metadata & Governance

Security

APIs/JSON

Parquet

pgvector

Tools

AWS

Amazon RDS

DynamoDB

S3

Textract

pgvector

Job description

Robotics Technologies LLC seeks a Senior Data Engineer to design, build, and support scalable data solutions for enterprise wealth and asset management applications. You will own ingestion, transformation, storage, and governance across diverse data sources.

You will implement ETL/ELT pipelines using Python and SQL, design data models on PostgreSQL, RDS, DynamoDB, and S3, and collaborate with AI, DevOps, and security teams to ensure secure, cost-efficient data processing.