Remote Sr. Data Engineer (Compliance)

Description:

• RecargaPay is seeking a highly skilled Senior Data Engineer to join the Regulatory Data Core Squad.
• The role involves designing, implementing, and scaling robust data solutions in a dynamic regulatory reporting environment.
• Responsibilities include constructing and optimizing secure, scalable, and high-performance data architectures to meet regulatory, compliance, and business demands.
• The Senior Data Engineer will design and build scalable data architectures in cloud environments such as AWS, GCP, or Azure, applying architectural patterns like Lambda Architecture and domain-driven design.
• The position requires modeling data across conceptual, logical, and physical levels using dbt and ER modeling tools to ensure data integrity and consistency.
• The engineer will develop optimized data structures for regulatory reporting, analytics, and operational workloads with a focus on reliability and compliance.
• Responsibilities also include designing, building, and maintaining batch and real-time data pipelines using tools like Airflow, Kafka, and Spark.
• The role involves optimizing data ingestion, transformation, and delivery workflows for timely regulatory reporting.
• The engineer will build and manage scalable data platforms, including Data Lakes, Data Warehouses, and Lakehouses, utilizing technologies such as Snowflake, Redshift, and Delta Lake.
• Continuous monitoring and optimization of platforms for performance, scalability, and cost-effectiveness is required.
• The engineer will orchestrate complex workflows and automate data processes using Airflow, Databricks, or equivalent tools.
• Best practices for pipeline modularization, versioning (Git), and active monitoring must be implemented.
• The role includes implementing layered security measures across data platforms and ensuring compliance with governance, security, and regulatory requirements.
• Documentation of data flows, technical standards, architecture decisions, and operational procedures is essential.
• Mentoring and supporting other engineers in adopting best practices is also part of the role.

Requirements:

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

Benefits:

• The position offers a competitive and market-aligned salary.
• Employees can work remotely, allowing flexibility in their work environment.
• A home office allowance is provided through a monthly deposit in the RecargaPay app.
• Health and dental plans are available with no co-pay.
• Life insurance is included as part of the benefits package.
• A flexible meal allowance is provided via Flash.
• Employees receive a TotalPass membership to support their health.
• Spanish or Portuguese classes are offered to employees.