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Salary: USD 100,000 - 140,000 / annual
Firstup is an intelligent communication platform serving 40 Fortune 100 companies and reaching 17+ million employees daily. The company's mission is to improve the employee experience through workforce communications and engagement insights.
You will join as a Senior Data Engineer in a distributed, autonomous product team environment. Your responsibilities include designing, building, and maintaining scalable data pipelines, warehouse models, and analytics solutions that balance data quality, business value, and speed. You'll build natural language interfaces to data and analytics using GenAI/LLM techniques to make data more accessible across the business. You'll use GenAI coding tools in daily development to improve code quality, testing, and delivery speed, and continuously evaluate new technologies to improve the data platform and technology stack.
You'll establish and follow standards for SQL development, data modeling, testing, documentation, code reviews, and production support. You'll support production data pipelines through on-call rotation and incident response, partnering with engineering, analytics, and business teams. You'll also document and maintain expertise in the technology stack and product domain, translating business needs into technical solutions with product management.
Firstup is a Series A company with a distributed workforce model since day 1. You can work remotely anywhere within the United States. The team values iteration, data-driven decision-making, and learning from failure. Engineering is treated as a craft, with attention to both elegant internals and user experience.
REQUIREMENTS:
- Bachelor's degree in Computer Science or related field, or equivalent professional experience
- 8+ years building reliable, high-performance, large-scale distributed systems, with 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:
- 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
