Backend Engineer, Data Platform - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Backend Engineer, Data Platform in the United States.

As a Backend Engineer for the Data Platform, you will play a critical role in designing, building, and maintaining high-performance data pipelines and back-end systems that process massive volumes of events daily. You will work in a highly collaborative environment, partnering with product managers, frontend engineers, and UX teams to deliver reliable and scalable solutions for analytics, experimentation, and business intelligence. The role offers hands-on development with cutting-edge technologies across AWS, streaming platforms, and modern databases. You will be responsible for ensuring data integrity, optimizing pipeline performance, and maintaining system observability. This position provides a unique opportunity to shape the platform architecture while contributing directly to the efficiency and impact of key product lines.

Accountabilities

• Build, maintain, and expand batch and streaming data pipelines supporting analytics, experimentation, and product insights.
• Collaborate with frontend engineers, product managers, and UX teams to deliver data-driven features.
• Monitor and optimize database and pipeline performance to ensure high scalability and reliability.
• Develop unit, integration, and load tests to maintain code quality and system integrity.
• Participate in code reviews and provide constructive feedback to improve engineering standards.
• Write and review technical proposals, and contribute to improving processes, tooling, and best practices.
• Support production systems, including on-call rotation and troubleshooting.

• 5+ years of backend software engineering experience.
• Minimum 1 year of experience building data pipelines or data warehouse solutions.
• Hands-on experience with data processing technologies such as Kinesis, Airflow, Spark, Lambda, Flink, or Athena.
• Familiarity with databases such as Clickhouse, Postgres, Elasticsearch, Timestream, or Snowflake.
• Solid understanding of computer science fundamentals, including data structures, distributed systems, concurrency, and threading.
• Experience working in collaborative, communicative environments and Agile frameworks.
• Strong commitment to writing maintainable code, testing, and engineering best practices.
• Familiarity with Infrastructure-as-Code tools like Terraform and observability tools like Datadog.

• Competitive annual salary based on location:
• Zone 1 (San Francisco/Bay Area, NYC, Boston, Seattle): $187,000 – $257,000
• Zone 2 (Austin, LA, Chicago, Philadelphia, Portland, Irvine, Santa Barbara, Santa Rosa, Monterey): $168,000 – $231,000
• Zone 3 (All other U.S. locations): $158,000 – $218,000
• Restricted Stock Units (RSUs) and comprehensive health, vision, and dental coverage.
• Mental health and wellness support programs.
• Flexible remote work arrangements with optional onsite collaboration.
• Opportunities to work with cutting-edge technologies at large scale and make a tangible impact on product development.
• Collaborative, communicative, and inclusive culture encouraging continuous learning and growth.

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!

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