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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.
The Senior Data Engineer will design and build reliable, scalable data solutions that translate complex product and business logic into well-tested data models and pipelines. This role bridges engineering, analytics, and business teams, with a focus on data quality, observability, and architectural evolution.
Key responsibilities include:
- 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 using GenAI/LLM techniques to improve data accessibility across the business
- Apply GenAI coding tools in daily development to enhance code quality, testing, and delivery speed
- Evaluate new technologies to improve and scale the data platform and technology stack
- Establish and maintain standards for SQL development, data modeling, testing, documentation, code reviews, and production support
- Support production data pipelines through on-call rotation and incident response
- Document expertise in the technology stack and product domain, translating business needs into technical solutions with product management
This is a high-growth Series A company with a world-class customer base, offering a casual, inclusive environment where ideas are rewarded and growth is prioritized.
REQUIREMENTS:
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 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
