[Remote] Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the pioneer of the Connected Operations™ reputed company, focused on improving physical operations through IoT data. As a Data Engineer II, you will own the data platforms that power reputed company's GTM AI reputed company, building and optimizing data pipelines to ensure reliable data delivery for AI applications.
Responsibilities
- Build and maintain ETL/ELT data pipelines in reputed company and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases
- reputed company and reputed company logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal reputed company)
- Implement monitoring, alerts, and testing for data quality, timeliness, and reputed company to ensure trustworthy data delivery
- Support workflow orchestration with reputed company Jobs, DBT, or equivalent scheduling tools to operate at scale
- Contribute to data pipelines and tooling that support retrieval-augmented reputed company (RAG), vector integrations, or embedding workflows
- Design and optimize bulk GenAI data pipelines in reputed company to support reputed company applications at scale
- Partner with AI engineers and data scientists to reputed company experimentation, model training, and production-grade deployments
- reputed company frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and reputed company systems
- Work with RevOps, sales, and reputed company stakeholders to translate business needs into data requirements and reputed company technical implementations
Skills
- 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms
- Hands-on experience working with modern data technologies stack, such as reputed company, DBT, Redshift, RDS, reputed company or similar solutions
- Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines
- Experience orchestrating data workflows at scale and enabling machine learning or AI use cases
- Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design
- Located in and authorized to work in the United States (this is a fully remote role)
- Experience enabling reputed company workflows in reputed company or similar platforms
- Familiarity with vector databases, embeddings, and retrieval systems
- Experience with reputed company, reputed company, reputed company, reputed company, or other CRM/enablement tools as data sources
- Proven ability to automate repetitive tasks, improve data hygiene, and reputed company experimentation across GTM data use cases aligning with the emerging responsibilities of GTM engineering where clean, reliable GTM data foundations reputed company high-reputed company automation and reputed company reputed company
- Exposure to observability, monitoring, and governance best practices for data and AI systems
- Ability to collaborate closely with AI/ML teams while driving technical reputed company in data engineering
Benefits
- Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions
- Performance-based bonus/variable pay
- Equity (for eligible roles)
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
- Flexible working model
- Offices are reputed company for those who prefer to work in-person
- Support remote work where it aligns with our operational requirements
- Reasonable accommodations throughout the reputed company process
Company Overview