Senior Data Engineer

Role: Senior Data Engineer

Location: United States - Must live in USA now

Office: Fully remote

Salary: $150,000-165,000

Benefits: Medical, Dental, 401K

Requirements: Coding Assessment and final onsite interview

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.

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://www-uat.lhh.com/us/en/candidate-privacy

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.

• Seniority Level
• Director
• Industry
• Technology, Information and Media
• Employment Type
• Full-time
• Job Functions
• Information Technology
• Skills
• API Development
• Extract, Transform, L