Note: The job is a remote job and is open to candidates in USA. Prodege, LLC is seeking a Principal Data Engineer to shape the future of data at the company. This role involves owning the data stack end to end, building the next-generation data platform that powers analytics, machine learning, and business intelligence across Prodege’s products and domains.
Responsibilities
- Lead the design, build, and evolution of the next-generation data platform across Snowflake, dbt, Iceberg, Trino, Kafka, and related technologies
- Personally drive critical implementations in the data platform, modernizing legacy pipelines and proving out new approaches before scaling them across the team
- Build and optimize high-scale batch, ELT, and near-real-time pipelines for BI, product, experimentation, and ML use cases
- Establish durable platform patterns around Medallion architecture, data contracts, schema management, lineage, observability, and governance
- Design and evolve scalable data models and data marts that support business reporting, self-service analytics, and ML workloads
- Make key decisions on tooling, orchestration, storage patterns, performance, reliability, and cost efficiency
- Partner closely with ML, BI, Product, Engineering, Analytics, and business stakeholders to turn business needs into scalable technical designs
- Build data foundations that support model training, feature pipelines, experimentation, and AI-driven applications
- Drive an AI-first mindset by using AI to accelerate development, debugging, design exploration, testing, and documentation
- Mentor data engineers and raise the bar on technical quality, maintainability, and engineering discipline
Skills
- 6+ years of hands-on experience in Data Engineering, ideally in AdTech, MarTech, Growth, consumer internet, or other high-scale / multi-product environments
- Strong hands-on expertise in SQL, Python, Snowflake, and dbt
- Proven experience designing and building modern data platforms at scale
- Strong experience with: batch and near-real-time data pipelines, streaming / event-driven architectures, modern data modeling and ELT patterns, Medallion architecture, data contracts and schema evolution
- Proven experience modernizing complex, interconnected data systems with strong ownership
- Experience building production-grade data systems that support BI, experimentation, product analytics, and ML use cases
- Strong judgment across performance, scalability, reliability, and cost tradeoffs
- Experience partnering cross-functionally with Data Science, BI, Product, Engineering, and business teams
- Ability to guide teams toward an AI-first way of working, while maintaining strong validation and engineering discipline
- Strong technical leadership and mentoring capability, with the ability to influence across teams without direct authority
- Comfort operating in ambiguity and still driving systems into production
- Experience with Iceberg, Trino, Kafka, Kinesis, Apache Flink, or similar modern lakehouse / streaming technologies
- Familiarity with feature stores, model-serving pipelines, and DataOps practices
- Experience supporting experimentation platforms, self-serve BI, or performance marketing use cases
- Experience in consumer rewards, surveys, monetization, or marketplace-style ecosystems
- Experience with cloud-native data stacks and modern observability tooling
- Familiarity with AI-assisted or AI-first development practices across data teams
Benefits
- Medical
- Dental
- Vision
- STD
- LTD
- Basic life insurance
- Comprehensive benefits package to US Full-time employees
- Flexible PTO
- Paid sick leave prorated based on hire date
- Eight paid holidays throughout the calendar year
Company Overview
Company H1B Sponsorship