Senior Backend Engineer - Data Ingestion (ClickPipes)

ClickHouse; United States; Remote; USD 133,000 - 198,000; Full time

Job summary

A leading technology firm is seeking an experienced Backend Engineer to develop integrations with various data sources. This remote position requires 5+ years in software development, specializing in data-intensive solutions with strong Golang skills. The role offers a competitive salary and flexible work environment, including generous benefits such as healthcare contributions and remote office setup.

Benefits

Flexible work environment

Healthcare contributions

Stock options

Flexible time off

Home office setup

Global gatherings

Qualifications

• 5+ years of software development experience in data-intensive solutions.
• Strong knowledge of Golang; Java is a plus.
• Excellent communication skills.

Responsibilities

• Develop and enhance integrations with various data sources.
• Continually improve systems based on metrics and feedback.
• Drive technical discussions and architectural decisions.

Skills

Golang

Distributed systems

Microservices architecture

ETL data pipelines

Cloud-native architecture

Problem-solving

Job description

Overview

United States (remote)

About ClickHouse

Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company enables real-time analytical reporting through SQL queries and supports workloads at scale. Enterprises worldwide rely on ClickHouse Cloud, available as open source or hosted on AWS, GCP, Azure, and Alibaba.

About the Team

The ClickPipes Platform team drives growth and client success by onboarding and integrating data from diverse sources into ClickHouse. Working at a petabyte scale and in high-velocity environments, this role offers autonomy and the opportunity to solve challenging technical problems with impact.

You can find some of the team’s recent work on our blog. We are looking for exceptional backend engineers with expertise in real-time data ingestion, change data capture (CDC), distributed systems, and cloud services.

What will you do?

• Develop and enhance integrations with various data sources including streaming platforms, databases, data lakes, and object stores.
• Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements.
• Drive technical discussions and contribute to architectural decisions that impact scalability and resilience.
• Participate in on-call rotations to ensure system reliability and respond to production incidents.

About you

• 5+ years of relevant software development experience building data-intensive software solutions.
• Strong knowledge of Golang and experience with its ecosystem; Java is a plus.
• Experience with distributed systems and microservices architecture.
• Ability to design and build robust ETL data pipelines for large data volumes.
• Good knowledge of cloud-native architecture with practical experience in at least one major CSP.
• Excellent communication skills and ability to collaborate across teams.
• Strong problem-solving and production debugging skills.

Compensation & Benefits

The typical starting salary for this role in the US is $133,450 - $197,200 USD. In US Premium Markets, the range is $157,000 - $232,000 USD.

• Flexible work environment - Remote-friendly, with global presence in 20 countries.
• Healthcare - Employer contributions toward healthcare.
• Equity - Stock options for new team members.
• Time off - Flexible time off in the US; generous in other countries.
• Home office setup - $500 for remote employees.
• Global gatherings - Opportunities to engage with colleagues at company-wide events.

Culture

As part of ClickHouse’s early team, you will help shape our culture. Learn more about our values on our blog and LinkedIn.

Equal Opportunity

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on protected characteristics. For more details, please review our Privacy Statement.