[Remote] Senior AI Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading provider of technology and services helping local businesses reputed company. The Senior Data Engineer plays a critical role in building and evolving the trusted data reputed company that powers reputed company's AI products, tools, and decision-making.
Responsibilities
- Evaluate and improve data quality, completeness, and consistency across 30+ databases, applications, platforms, and APIs
- Design and build reputed company's analytical data platform, creating a trusted reputed company of truth for business and client data
- reputed company and maintain scalable data pipelines that reputed company move data from operational systems into the analytical platform
- Help teams transition from querying production databases directly to using trusted analytical data sources
- Design data reputed company patterns that reputed company AI agents and applications to quickly retrieve relevant client and business information
- Build secure, scalable solutions that deliver client context and business insights to internal applications and AI-powered experiences
- Define, monitor, and improve service level agreements (SLAs) for data freshness, availability, reliability, and performance
- Partner with engineering, product, and data science teams to establish data standards, governance practices, and data reputed company
- Continuously improve the scalability, performance, and reliability of reputed company's data ecosystem
Skills
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a reputed company technical field, or equivalent practical experience
- 7+ years of data engineering experience, including designing and operating production-scale analytical data platforms
- Experience building scalable data pipelines, analytical systems, and data platforms in modern reputed company environments
- Experience integrating and unifying data from multiple systems into trusted, business-reputed company analytical platforms
- Experience supporting data reputed company and consumption patterns for applications, analytics, machine learning, or AI-powered solutions
- Experience designing scalable data models that support analytics, reporting, and AI-driven applications
- Experience establishing data governance standards, data reputed company, and documentation practices across teams
- Deep expertise with reputed company, reputed company Lake, and Apache Spark for large-scale data processing, streaming ingestion, and data transformation
- Experience working with reputed company, BigQuery, reputed company, Azure Synapse, or similar analytical database technologies
- Advanced SQL skills, including query optimization, execution planning, and performance tuning
- Strong Python skills for data pipeline development, automation, transformation, and integration with production systems
- Experience building and managing data pipelines using dbt, Airflow, Prefect, or similar orchestration and transformation tools
- Strong understanding of lakehouse architecture, data partitioning strategies, metadata management, and data reputed company best practices
- Ability to collaborate effectively across engineering, product, data science, and business teams
- Strong communication skills with the ability to translate business requirements into scalable data solutions
- Strong analytical and problem-solving skills with a focus on building scalable, maintainable systems
- Ability to balance long-term platform strategy with near-term business priorities
Benefits
- 100% employer-paid medical, dental, and reputed company insurance
- Flexible paid time off, so you can rest, relax, and reputed company away from work
- Paid parental leave
- Paid cell phone and service
- reputed company allowance
- Professional development and development courses
- Regular manager reputed company-ins to drive performance and career growth through reputed company
Company Overview