Senior Software Engineer, Data Platform

Posted 17d ago

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Lead development, testing, and maintenance of scalable Python code for data ingestion, transformation, and processing across streaming and batch architectures
Design and optimize data models and transformation logic that support advanced analytics and evolving BI needs, with built-in data quality and performance
Build and tune high-performance ETL/ELT workflows using AWS DMS, Kinesis, and related data integration technologies
Diagnose and resolve pipeline issues, implementing preventative measures that guarantee data integrity and reliability
Mentor junior engineers and establish documentation standards for code, models, and processes

Experience in data engineering, demonstrating expertise in designing, conducting rigorous code reviews, and managing complex, large-scale ETL/ELT pipelines
Deep understanding and hands-on experience with enterprise-grade cloud data platforms such as Redshift, BigQuery, or Snowflake
Expert-level skills in Python and SQL (including advanced optimization techniques in MySQL, Postgres, and SQL Server)
Strong command of AWS services (DMS, S3, Airflow, Kinesis, DocumentDB, CloudWatch, Kubernetes, Glue)
Proven ability to establish and maintain robust version control (GitHub) workflows, architect and implement sophisticated CI/CD pipelines for data infrastructure, and a strong advocate for infrastructure-as-code principles and tools
Practical experience using AI coding tools (Claude Code, Copilot, Cursor) to accelerate delivery

Skills