R2R Data Engineer (Record to Report)

Role: R2R Data Engineer (Record to Report)

Mode: Onsite

Duration : Full-time

Relocation: Acceptable

Location: Austin, TX

Job Description

We are seeking a highly skilled R2R Data Engineer (Record-to-Report) to design, build, and optimize enterprise-scale data solutions that support financial reporting, analytics, and decision-making. This role involves working with modern cloud data platforms and collaborating with cross-functional teams to deliver high-quality, reliable, and secure data pipelines.

The ideal candidate will have strong expertise in data engineering, cloud technologies, and financial data processes, with a focus on building scalable architectures and ensuring data accuracy across systems.

Key Responsibilities

• Design and develop scalable data architectures and dimensional models (star/snowflake schemas) for financial reporting
• Build, optimize, and maintain ETL/ELT pipelines for large-scale data processing
• Develop and manage data services, APIs, and integrations with downstream systems
• Implement data quality frameworks, validation checks, and reconciliation processes
• Optimize SQL queries and data performance within Snowflake environments
• Ensure data security, governance, and compliance with industry standards
• Collaborate with data scientists, analysts, and business stakeholders
• Monitor, troubleshoot, and support production data pipelines

Required Skills & Qualifications

• 5+ years of experience in data engineering
• Strong programming skills in Python
• Advanced expertise in SQL (joins, CTEs, window functions, performance tuning)
• Hands-on experience with Snowflake and data warehousing concepts
• Experience with AWS services (S3, Lambda, EC2, IAM, CloudWatch)
• Proven experience building scalable ETL/ELT pipelines
• Familiarity with CI/CD tools and version control (Git)
• Strong understanding of data security and governance practices

Preferred Qualifications

• Experience with streaming technologies (Kafka, Kinesis, Spark Streaming)
• Knowledge of Docker and Kubernetes
• Experience with data quality tools (Great Expectations, Soda, etc.)
• Familiarity with ERP systems such as SAP or Oracle Financials
• Understanding of financial processes (R2R, O2C, P2P)

Education

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Master’s degree preferred