undisclosedRemote
Senior Data Engineer
United States
Full-time
1 week ago
$160,000 - $320,000 USD
H1B Sponsor
Key skills
Data pipeline developmentSQL proficiencyData warehousing experienceCloud platform experienceData modelingBatchstreaming processingREST APIs familiarityProblem-solving skillsCommunication skillsCollaboration skillsPythonJavaScalaSQLETLELTData EngineeringData WarehousingAnalyticsBusiness IntelligenceSnowflakeBigQueryRedshiftSparkKafkaAirflowdbtAWSAzureGCPVersion ControlPerformance OptimizationSaaSCI/CDCommunicationCollaboration
About this role
Our 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.
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
Requirements:
- 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
- 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