The
Senior Data Engineer will design and build reliable data solutions that translate complex product and business logic into scalable, well-tested data models and pipelines. This role requires deep expertise in SQL, query acceleration, and applying GenAI to both engineering workflows and data/analytics interfaces. They will partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture.
Responsibilities- Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions, balancing data quality, business value, and speed.
- Build and maintain natural language interfaces to data and analytics, applying GenAI/LLM techniques to make data more accessible across the business.
- Use GenAI coding tools and practices in daily development to improve code quality, testing, and delivery speed.
- Continuously evaluate new technologies that could improve and scale the team's data platform and technology stack.
- Establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
- Support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams.
- Document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.
Minimum Qualifications- Bachelor's degree in Computer Science or related field, or equivalent professional experience.
- 8+ years building reliable, high-performance, large-scale distributed systems, with an emphasis on streaming and data pipelines.
- Experience working with and maintaining multi-tenant SaaS experiences.
- Experience building natural language interfaces over data warehouses, including applying GenAI/LLM techniques to data and analytics.
- Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino.
- Expertise writing, optimizing, and analyzing SQL.
- Hands-on experience building and operating distributed data platforms on AWS or GCP.
- Hands-on experience with streaming platforms such as Kafka and Spark.
- Experience scaling data modeling and warehousing.
- Proficiency in python.
Preferred Qualifications- Experience with Cube or other semantic layers.
- Experience with scheduling tools such as Airflow.
- Familiarity with the BI tool Metabase.
- Proficiency in Ruby on Rails, React, or other adjacent languages.
Firstup expects the base salary for this role to be between $155,000-$170,000. The starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.
We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth - both personally and professionally.
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