undisclosed · 2 hours ago
Senior Data Engineer
United States
Full-time
Remote
Senior Level
$160K/yr - $320K/yr
5+ years expOur client is seeking a Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making across the organization. This role plays a critical part in transforming raw data into reliable, high-quality datasets used by Product, Analytics, Data Science, and business teams.
Management Consulting
Responsibilities
Design, develop, and maintain scalable, reliable, and efficient data pipelines and ETL/ELT processes
Build and optimize data models, data warehouses, and data lakes to support analytics and business intelligence use cases
Collaborate closely with Analytics, Data Science, Product, and Engineering teams to understand data requirements and deliver trusted datasets
Ensure data quality, accuracy, availability, and consistency through validation, monitoring, and testing
Optimize data performance, cost, and scalability across storage and processing systems
Implement and enforce data engineering best practices, including documentation, version control, and code reviews
Support real-time and batch data processing use cases
Identify and resolve data pipeline failures, performance bottlenecks, and reliability issues
Work with DevOps and Platform teams to improve CI/CD workflows, automation, and infrastructure-as-code for data systems
Contribute to the evolution of the organization’s data architecture and long-term data strategy
Qualification
Required
Strong experience building and maintaining production-grade data pipelines
Proficiency in SQL and at least one programming language such as Python, Java, or Scala
Experience with data warehousing and analytics platforms (e.g., Snowflake, BigQuery, Redshift)
Solid understanding of data modeling, schema design, and performance optimization
Experience with batch and streaming data processing frameworks
Familiarity with REST APIs, data integrations, and third-party data sources
Strong problem-solving skills and attention to data quality and reliability
Excellent communication and collaboration skills
Preferred
5–8+ years of professional experience in data engineering or related roles
Experience in SaaS, cloud-native, or data-driven product organizations
Hands-on experience with cloud platforms such as AWS, Azure, or GCP
Experience with tools such as Airflow, dbt, Spark, Kafka, or similar technologies
Exposure to DevOps practices, CI/CD pipelines, and infrastructure-as-code
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Company
undisclosed
This company is under development and therefore information is limited to serious investors or advisors outside the company.
New York City , NY, US
2-10 employeesFunding
Current Stage
Early StageLeadership Team
Scott Dorsett
Chief Executive Officer
Aron Shvarts
CSO
Company data provided by crunchbase