Senior Data Engineer

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

Job summary

Quantum Technologies. LLC is seeking a Senior Data Engineer to design, build, and support scalable, secure data solutions for enterprise Wealth & Asset Management applications.

The role focuses on data ingestion, transformation, storage, integration, quality, governance, and processing across structured and unstructured data sources. The ideal candidate will develop reusable data pipelines using Python and SQL, design data models with PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3, and support

Qualifications

• 8+ years of experience in data engineering or related roles.
• Hands-on experience with Python, SQL, PostgreSQL, AWS services.
• Experience developing and supporting ETL/ELT pipelines and data-processing workflows.
• Experience with data modeling, APIs, JSON, Parquet, and pgvector.
• Understanding of data quality, metadata, governance, security, and operational 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, Amazon RDS, DynamoDB, and Amazon S3.
• Support document ingestion and extraction using Amazon Textract.
• Prepare and transform data for analytics, search, and AI use cases.
• Implement data quality, lineage, and governance controls.
• Collaborate with cross-functional teams including AI, DevOps, and cybersecurity.

Skills

AWS

SQL

Python

Distributed Computing

Tools

PostgreSQL

Amazon RDS

DynamoDB

Amazon S3

Amazon Textract

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

Our client seeks a Senior Data Engineer to design, build, and support scalable and secure data solutions for enterprise Wealth & Asset Management applications. The role focuses on data ingestion, transformation, storage, integration, quality, governance, and processing across structured and unstructured data sources.

Key Responsibilities:

Design and develop scalable data ingestion and ETL/ELT pipelines.

Build solutions for structured, semi-structured, and unstructured data.

Develop reusable data-processing and transformation components using Python and SQL.

Design and support data models using PostgreSQL, Amazon RDS, DynamoDB, and Amazon S3.

Support document ingestion and extraction using Amazon Textract, where applicable.

Prepare and transform data for application, search, analytics, and AI-enabled use cases.

Support vector-based retrieval using PostgreSQL/pgvector, where required.

Implement data quality, validation, reconciliation, metadata, lineage, retention, and governance controls.

Implement secure data access and encryption for sensitive information.

Optimize data pipelines and databases for performance, reliability, scalability, and cost.

Implement monitoring and troubleshoot data-processing and integration issues.

Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams.

Experience Requirements:

8+ years of experience in data engineering, data integration, or related roles.

Hands-on experience with Python, SQL, PostgreSQL, Amazon RDS, DynamoDB, and S3.

Experience developing and supporting ETL/ELT pipelines and data-processing workflows.

Experience with data modeling, APIs, JSON, Parquet, and pgvector.

Understanding of data quality, metadata, governance, security, and operational monitoring.

Experience working within large enterprise or regulated environments.

Experience supporting document-processing and AI-enabled data solutions.

Required Technical Skill:

Must Have:

• AWS
• SQL
• Distributed Computing
• AWS Knowledge- Does NOT need to be an AWS expert.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.