Senior Data Engineer

Design and Build Data Systems

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• Develop scalable, secure data architectures in cloud environments (AWS), applying architectural patterns like Lambda Architecture and domain-driven design.">
• Model data across conceptual, logical, and physical levels using dbt and ER modeling tools, ensuring data integrity, consistency, and alignment with architectural standards.">
• Design, build, and maintain batch and real-time data pipelines using Airflow, Kafka, and Spark, integrating structured and unstructured data from multiple sources with low latency and high availability.">
• Optimize data ingestion, transformation, and delivery workflows to ensure timely and accurate regulatory reporting.">
• Build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, utilizing technologies such as Snowflake, Redshift, and Delta Lake.">
• Continuously monitor and optimize platforms for performance, scalability, and cost-effectiveness.">
• Orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent orchestration tools.">
• Implement best practices for pipeline modularization, versioning (Git), and active monitoring to ensure robustness and maintainability.">
• Implement layered security measures across data platforms, including encryption, RBAC, data masking, and auditing practices, leveraging tools like Ranger, IAM, and cloud-native solutions.">
• Ensure compliance with internal and external governance, security, and regulatory requirements across all data processes.">
• Document data flows, technical standards, architecture decisions, and operational procedures clearly and effectively.">
• Mentor and support other engineers in adopting engineering best practices, ensuring a high level of technical excellence and consistency across the team.">

Required Skills and Qualifications

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• A solid background in data engineering and architecture roles with hands-on experience with cloud platforms (AWS).">
• Strong data modeling skills with practical experience using dbt, ER modeling tools, and advanced SQL techniques.">
• Advanced knowledge of batch and streaming data processing frameworks (Airflow, Kafka, Spark).">
• Proficiency in managing data storage and processing solutions such as Snowflake, Redshift, and Delta Lake.">
• Expertise in orchestration tools and CI/CD practices (Airflow, Databricks, Git).">
• Deep understanding of data security principles, data masking, encryption, access control, and governance frameworks.">
• Excellent problem-solving skills, technical leadership, and effective communication with cross-functional stakeholders.">
• Experience working in regulatory, financial, or compliance-focused environments is beneficial.">

Benefits and Perks

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• Competitive salary.">
• Flexible remote work opportunities.">
• Home office allowance through a monthly deposit.">
• Health and dental plans with no co-pay.">
• Life insurance.">
• Flexible meal allowance (via Flash).">
• TotalPass membership for health and wellness.">
• Language classes for personal development.">

Our Diversity and Inclusion Commitment

We value diversity and believe that unique perspectives enhance our creativity and strength. We welcome individuals from diverse backgrounds to join our team.

Using Your Data

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