We are seeking an accomplished Senior Data Engineer to join our dynamic and rapidly expanding Tech Ops division. As a trusted technical advisor, you will ensure high-quality, compliant data operations across the lifecycle. You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high-performance data ingestion and transformation pipelines.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field, with 5+ years of hands-on experience as a Data Engineer building and operating large-scale, distributed data systems in modern cloud environments
- Expert-level proficiency in Python, SQL, and PySpark, including development of distributed transformations and performance-optimized queries
- Demonstrated experience designing, building, and operating ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools
- Strong working knowledge of AWS data services (S3, SQS, Lambda, Glue, IAM or equivalents), structured and semi-structured data formats (Parquet, ORC, JSON, Avro), schema evolution, and optimization techniques
- Hands-on experience with Terraform and CI/CD pipelines (e.g., GitLab), deep expertise in SQL and compute optimization (partitioning, clustering, Z-Ordering, pruning, caching), and performance tuning on cloud data warehouses such as Snowflake (preferred), BigQuery, or Redshift
Benefits
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee – share in our success
- Growth-focused environment – your development matters here
To apply for this job please visit boards.greenhouse.io.
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