Senior Data Engineer, Data Lakehouse Infrastructure
TRM LabsFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role requires 3+ years of experience as a Data Engineer with a focus on data pipeline development and data warehousing, strong hands-on experience with data modeling, cloud data warehouses, Python and SQL, data ingestion tools and ETL/ELT processes, and Airflow.
Daily responsibilities include building and optimizing data models in dbt Core, designing scalable data ingestion using Meltano, Snowpipe, and Airflow, managing AWS infrastructure with Terraform, collaborating with analysts and engineers, and implementing data quality testing.
The team consists of Data Analysts focused on analytics engineering, complex data analysis, and data science; this role will be embedded directly within the team with mentorship lines to decentralized data engineers and opportunities to mentor analysts.
The environment is collaborative and growth-oriented, with opportunities to mentor analysts, learn from domain experts, and contribute to business impact while working directly within the Data Analytics team.
A strong candidate has 3+ years of Data Engineer experience, strong Python/SQL skills, hands-on expertise in data modeling and cloud warehouses, experience with Airflow and ETL processes, and a proactive mindset to independently define projects and improve infrastructure.
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