AWS Data Engineer

Requirements: Coding Assessment and final onsite interview
MUST HAVE CURRENT AWS experience
Final interview is onsite in Florida
Must provide valid state ID and References to be submitted
Role: Senior Data Engineer
Salary: $150,000-170,000
Fully remote
Benefits include 401K, Medial and Dental, and annual bonus
NOT 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.
DevOps & 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 APIs
Dimensional 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-privacy
Requirements
The 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.

Work arrangement
Yes