Senior Data Engineer

Fully Remote (Working PST business hours) No C2C Candidates Job Overview The Data Innovation team is building out the function of Marketing Data as a Product (M Dap) - a critical effort aiming to architect and engineer solutions that enhance the capabilities of data science, marketing, and analytics across all channels. The team operates as internal consultants, independently defining their own workstreams based on what will drive the greatest impact for the organization, rather than strictly fulfilling requests from other groups. The current challenge centers on standardizing and transforming fragmented campaign metadata across 16 marketing channels, creating reliable, scalable answers for key business questions like spend tracking and campaign optimization. Responsibilities • Collaborate as a technical leader within a small, agile team (3 - 10 people, primarily contractors) to drive multiple critical workstreams simultaneously. • Engineer data ingestion processes using SQL and Python, and execute robust API integrations across diverse marketing and executive reporting initiatives. • Dive into unstructured problems - often investigatory in nature - where the goal is to design new solutions and systems that do not currently exist. • Architect, implement, and document scalable, tested pipelines in AWS and Databricks environments, using Git for version control and code review. • Standardize campaign metadata and build new reference architectures to minimize errors and enable sophisticated spend reporting and optimization. • Propose solutions and approaches to ambiguous business challenges; independently assess current practices and drive insight through comparison to industry standards. Requirements • 5+ years in data engineering, with hands-on experience in SQL, Python, API integrations, AWS infrastructure (including ARN roles), and Databricks. • Strong ability to independently define and execute workstreams, demonstrating technical leadership and investigative problem-solving skills. • Experience with data pipeline tools (such as Fivetran) and willingness to adapt to comparable technologies as needed. • Familiarity with screen-scraping methodologies and handling disparate data sources. • Background in fintech, technology, or marketing analytics preferred; deep marketing expertise is not required, but comfort working in fast-paced, multi-domain environments is essential. • Skilled in source control (Git) and collaborative documentation and code review practices (e.g., pull requests in shared repositories). • Ability to thrive without prescriptive tasking—solutions are self-driven, not mapped out in advance. Key Traits • Leadership: Comfortable making decisions, proposing strategies, and leading technical direction. • Self-Starter: Demonstrates initiative and can navigate technical ambiguity without rigid task instructions. • Team Player: Collaborates well in a dynamic group, supporting multiple ongoing initiatives with direct, business-impactful outcomes.