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Senior Data Engineer - Salesloft
Data Engineer
Lead end‑to‑end data pipeline development, architecting scalable solutions on AWS, leveraging Python, Spark, and Airflow to deliver high‑quality, AI‑ready data for enterprise revenue platforms.
About the role
Key Responsibilities
- Design, build, and maintain robust data pipelines that ingest, transform, and serve large volumes of structured and unstructured data.
- Collaborate with data scientists and product teams to ensure data quality, consistency, and accessibility for AI and analytics workloads.
- Implement and optimize ETL processes using Python, SQL, and Apache Spark on AWS services (S3, Redshift, Glue).
- Automate workflow orchestration with Airflow, monitoring job health and performance.
- Define and enforce data governance, security, and compliance standards across the data platform.
Requirements
- 5+ years of experience in data engineering, with a strong background in Python and SQL.
- Proven expertise in AWS data services (S3, Redshift, Glue, EMR) and Spark-based processing.
- Hands‑on experience with Airflow or similar workflow orchestration tools.
- Solid understanding of data modeling, schema design, and performance tuning.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonsqlawsapache sparkairflow