Senior Data Engineer

🕒 September 29

🇺🇸 United States – Remote

💵 $155k - $170k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 47 days.
• Jobs at this company usually fill in 56 days.

Apply Now

Check your resume score

Customize resume + cover letter

Find Similar Remote Jobs

☆ Save☑️ Mark as applied❌ Hide

Report problem

Firstup

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏢 Enterprise

👥 HR Tech

☁️ SaaS

Enterprise • HR Tech • SaaS

Firstup is a comprehensive employee experience platform designed to deliver highly personalized communication at scale. It offers an intelligent communication platform that connects with any environment, while ensuring data security and infrastructure integrity. Firstup's solutions aim to engage employees through various channels including email, mobile apps, and intranet, making every interaction meaningful across the employee journey. The platform integrates seamlessly with tools like Microsoft 365 and ServiceNow to enhance service management and workforce productivity.

📋 Description

• 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 • Partner across engineering, analytics, and business teams, contribute to shared codebases, improve data quality and observability, and help evolve the data architecture

🎯 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 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 • 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

🏖️ Benefits

• Excellent PTO program • Great health benefits • Casual and friendly environment • Remote work • Leadership team committed to personal and professional growth

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume