Senior Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Sunnyvale (CA); On-site; USD 91,000 - 129,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Sunnyvale, CA is seeking a Senior Data Engineer to design, build, and support scalable data solutions for Wealth & Asset Management applications. You will focus on ingestion, transformation, storage, quality, governance, and processing across structured and unstructured data.

Key tasks include building ETL/ELT pipelines with Python and SQL, modeling data with PostgreSQL, RDS, DynamoDB and S3, enabling AI-enabled use cases, and ensuring security and governance

Qualifications

• 8+ years of data engineering or related work experience.
• Hands-on Python, SQL, PostgreSQL, Amazon RDS, DynamoDB and S3.
• Experience building and supporting ETL/ELT pipelines and data workflows.
• Experience with data modeling, APIs, JSON, Parquet, and pgvector.
• Understanding of data quality, metadata, governance, security, and monitoring.
• Experience in large enterprises or regulated environments.
• Experience supporting document-processing and AI-enabled data solutions.

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 with PostgreSQL, RDS, DynamoDB, S3.
• Support document ingestion and extraction using Textract where applicable.
• Prepare and transform data for applications, search, analytics, and AI use cases.
• Support vector-based retrieval using PostgreSQL/pgvector where required.
• Implement data quality, metadata, governance, and security controls.
• Optimize pipelines and databases for performance, reliability, cost.
• Implement monitoring and troubleshoot data-processing and integration issues.
• Collaborate with application, AI, DevOps, architecture, cybersecurity, and business teams.

Skills

Python

ETL/ELT pipelines

Data ingestion

Data processing

Data governance

Tools

Apache Spark

Trino (Presto)

Apache Airflow

AWS

SQL

PostgreSQL

Amazon RDS

DynamoDB

Amazon S3

Parquet

pgvector

Amazon Textract

Job description

Job ID: J54162

Job Title: Senior Data Engineer

Location: Sunnyvale, CA

Duration: 7 Months + Extension

Bill Rate: $80/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

Domain Exposure: Insurance

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

• Apache Spark
• Trino (Presto)
• Apache Airflow
• AWS
• SQL
• Large-scale Data Engineering
• Distributed Computing
• AWS Knowledge- Does NOT need to be an AWS expert.

Should Understand

• S3
• IAM Roles
• IAM Policies
• RBAC / Permission

Equal Opportunity Employer

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.