AWS Data Engineer

Salary: $150,000-170,000 Fully remote Benefits include 401K, Medial and Dental, and annual bonusNOT OPEN TO C2C, Sponsorship, or any Visas Client can only hire SC or GC Holders As a Senior Data Engineer, you will be working on our data systems and services with other data engineers to deliver projects and systems critical to Platform Ventures business. We expect our data engineers to be versatile, display leadership qualities and be enthusiastic about taking on new problems across our businesses as we continue to build great things for our customers. Strong Communication with vendors, customers, C-Suite executives, and co workers is imperative.

Job Description: The candidate will design and develop data pipelines, data marts, and schemas to support our data warehousing environments and analytical requirements Data Platform & Architecture Design and implement scalable data Lakehouse architectures using AWS S3, Delta Lake, and Redshift. Build and maintain high-performance data pipelines to ingest, transform, and curate large datasets. Define best practices for data modeling, partitioning, and storage optimization in a Lakehouse/medallion environment. Develop and maintain data cataloging and metadata management solutions. Data Engineering & Processing Develop ETL/ELT pipelines using Python, PySpark, and AWS Glue. Build robust batch and streaming data pipelines. Implement transformation workflows using DBT.Optimize performance for Spark workloads and Redshift queries. Workflow Orchestration Design and maintain workflow orchestration using Apache Airflow. Monitor pipeline performance and implement alerting and failure recovery. Data Governance & Quality Implement data validation, lineage, and monitoring frameworks. Maintain data documentation and data catalog integration. Ensure data reliability, consistency, and security across platforms. Dev Ops & Automation Implement CI/CD pipelines for data workflows. Automate testing, deployment, and monitoring of data pipelines. Use infrastructure-as-code where possible to maintain reproducible environments. Collaboration Work closely with data consumers, analysts, and platform engineers. Support self-service analytics through well-structured datasets and semantic models.

Minimum Qualifications: 7+ years of data warehousing / OLAP experience 7+ years multidimensional database architecture, data modeling, and design experience 5+ years of SQL Experience 3+ years of Python Experience 2+ years of Redshift Experience 2+ years of NoSQL Experience Team and vendor partner management Clear understanding of principles and techniques of Web development Experience with AWS Glue, Lambda, Step Functions, and Airflow Experience with data ingression from APIsDimensional database architecture experience Formal systems life cycle methodology experience Experience implementing CI/CD pipelines for data workflows Experience working with data catalogs and metadata management

Desired Qualifications: AWS Data Warehouse operations experience Tableau, Quicksight, Looker, big data and Realtime BI experience Experience with data streaming Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https:///us/en/candidate-privacyThe Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.