Data Engineer

Design build and maintain scalable data pipelines using orchestration frameworks such as Airflow and Dagster to support reliable data ingestion and transformation across multiple upstream systems 35%; Develop and manage a centralized data platform that integrates diverse data sources (e.g. APIs databases third-party systems) ensuring data quality consistency and availability for downstream consumption 20%; Implement robust data modeling and transformation processes (ETL/ELT) to structure raw data into curated datasets optimized for analytics and business use cases 15%; Enable self-service data access by building data services semantic layers and AI-powered tools (e.g. agents query interfaces) that allow business users to easily explore and consume data 10%; Collaborate with cross functional teams (data scientists analysts and business stakeholders) to define data requirements and ensure scalable production-grade data solutions 10%; Design and maintain monitoring logging and alerting systems to ensure pipeline reliability performance and data integrity 5%; Apply software engineering best practices (CI/CD version control testing) to develop and deploy data infrastructure and pipeline code in a cloud-based environment 5%. Up to 5% domestic travel may be required for internal meetings. Partial telecommuting permitted; on-site at 11601 Wilshire Blvd. Los Angeles CA 90025 when not telecommuting. Salary: $162300 - $182300 per year.

MINIMUM REQUIREMENTS: Bachelors Degree or U.S. equivalent in Computer Science Computer Engineering Engineering Management or a related field plus 4 years of professional experience as a Data Scientist Data Analyst or any occupation job title or position performing data-driven software engineering and analytics development.

Must also have experience in the following: 4 years of professional experience collaborating with cross functional stakeholders (including business product engineering and data teams) to translate business requirements into scalable analytical solutions; 4 years of professional experience applying software engineering best practices to analytical codebases including version control (Git) peer code reviews and modular code development; 3 years of professional experience writing complex SQL queries and performing data mining across large relational or cloud-based data warehouse environments; 3 years of professional experience designing and developing data pipelines using Python (including Pandas and PySpark) and ETL processes to transform and prepare large datasets for analytical use; 3 years of professional experience developing and optimizing data models custom datasets and data structures to support evolving analytical and reporting needs; 3 years of professional experience designing and developing business intelligence dashboards and automated reporting solutions SQL and visualization tools (including Tableau QuickSight or Looker) to support KPI tracking and executive reporting; 3 years of professional experience maintaining and optimizing cloud-based data solutions within AWS environments to ensure performance reliability and scalability; 3 years of professional experience conducting statistical analyses including hypothesis testing regression analysis and product experimentation to inform business decision-making.

CONTACT: Apply online at or email resume to: Must specify Ad Code AMKM in subject line. #LI-DNI #LI-DNP

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