This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer - Data in United States.

This role offers the chance to design and maintain scalable data infrastructure, focusing on backend integration and event-driven pipelines that power real-time analytics. The Senior Software Engineer - Data will bridge engineering and analytics teams, ensuring reliable, high-performance data flows from application events to the data warehouse and downstream services. You will optimize workflows, build reverse ETL processes, and support Snowflake administration while contributing to system architecture and operational best practices. The role involves mentoring other engineers and establishing technical standards, with a direct impact on data reliability, developer efficiency, and business insights. Your work will support a collaborative, remote-first engineering environment focused on continuous improvement and scalable systems.

Accountabilities

Design and maintain event-driven pipelines from backend systems to Snowflake, ensuring data reliability and performance
Own pipeline architecture from application events through ingestion and transformation layers
Establish event tracking standards, documentation, and training for engineering teams
Support feature flagging and A/B testing infrastructure as needed
Optimize data workflows and manage Snowflake administration, including performance tuning and cost management
Build reverse ETL processes and marketing automation data flows using tools like Census
Collaborate with analytics engineers on dbt deployment, testing, and production workflows
Provide technical guidance to engineering and product teams, including training sessions and troubleshooting support

Requirements

5+ years of backend engineering experience with Python, Rails, or similar server-side technologies
3+ years of experience with cloud data warehouses, preferably Snowflake
Experience with event streaming platforms and event-driven architectures
Familiarity with behavioral analytics platforms such as Snowplow Analytics or Segment
Hands-on experience with ETL tools (Fivetran, Stitch, or Airbyte) and dbt for data transformations
Strong background in backend API development, systems integration, and pipeline reliability
Excellent problem-solving, communication, and collaboration skills
Permanent residency and eligibility to work in the U.S

Preferred Skills:

Experience with monitoring and observability tools for data pipelines
Familiarity with modern data stack concepts and architecture
Experience building reverse ETL and marketing automation flows
Proven ability to mentor engineers and set technical standards

Benefits

Competitive salary range: $170,000 - $194,000 per year (based on experience)
Equity participation opportunities
Comprehensive health, dental, and vision insurance
Paid time off and flexible work arrangements
Remote-first work environment spanning all U.S. time zones
Professional development opportunities and supportive engineering culture

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!