Data Engineer
Join us as a Data Engineer to build robust data pipelines, analytics platforms, and real-time data processing systems that drive decision-making across our products and client organizations. You'll work on data infrastructure powering everything from IoT telemetry analytics and gaming engagement metrics to enterprise reporting dashboards and marketing attribution models. Our data team is building the foundation for data-driven product development — designing scalable ETL pipelines, implementing real-time streaming architectures, and creating self-serve analytics tools. If you love turning raw data into actionable insights and building infrastructure that scales, this is the role for you.
Tech Stack
Responsibilities
- Design and implement scalable ETL/ELT data pipelines
- Build real-time data streaming solutions with Kafka or Kinesis
- Develop data warehousing solutions on Snowflake, BigQuery, or Redshift
- Create data models and maintain data quality frameworks
- Implement data governance, lineage tracking, and access controls
- Collaborate with analysts and ML engineers on data platform requirements
Requirements
- 3-6 years of data engineering experience
- Proficiency in Python and SQL
- Experience with data pipeline tools (Apache Airflow, dbt, Spark)
- Knowledge of data warehouses (Snowflake, BigQuery, Redshift)
- Experience with streaming platforms (Kafka, Kinesis, Flink)
- Understanding of data modeling and dimensional design
Nice to Have
- Experience with data lakehouse architectures (Delta Lake, Iceberg)
- Knowledge of ML feature stores and model serving
- AWS/GCP data engineering certifications
Interested in this role?
Share your resume along with a brief note about why you're excited about this position at
hello@worklage.com