Senior Data Engineer - Python, CI/CD

๐Ÿ“ Argentina
๐Ÿ“ Brazil
๐Ÿ“ Canada
๐Ÿ“ Chile
๐Ÿ“ Colombia
๐Ÿ“ Mexico
๐Ÿ“ Peru
๐Ÿ“ United States
USD 84,000-143,000 per year
SENIOR
โœ… Remote

Used Tools & Technologies

Not specified

Required Skills & Competences

Security @ 7 Python @ 7 SQL @ 4 dbt @ 4 ETL @ 4 Airflow @ 4 GitHub @ 4 GitHub Actions @ 4 CI/CD @ 4 Leadership @ 4 AWS @ 4 Data Engineering @ 4 ELT @ 4 Technical Leadership @ 4 Observability @ 4 AI @ 4 Data Modeling @ 4 ClickHouse @ 4 Data Pipelines @ 4

Details

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The companyโ€™s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

Weโ€™re on a mission to transform how companies use data. Come be a part of our journey!

About the role

At ClickHouse, we believe in making product decisions grounded in data, not gut feelings. To support that, we've built a comprehensive internal data warehouse โ€” read more about it on our blog. It powers analytics, forecasting, and decision-making across every team in the company.

Our stack centers on ClickHouse as the core storage and processing engine, complemented by dbt, Airflow, S3, AWS, Superset, and GitHub Actions. We ingest data from 30+ distinct external sources, process over 2.5 PB of data, and deliver most data marts to business consumers with a 1-hour end-to-end latency โ€” a standard that demands highly optimized, rock-solid transformation pipelines.

We're looking for a Senior Data Engineer to help evolve the DWH platform, push its technical boundaries, and deliver reliable, high-performance data models to business users across the organization.

Responsibilities

  1. DWH Platform Development
  • Design and develop reusable Airflow components - operators, connectors, and hooks - along with custom integrations tailored to our data architecture.
  • Build reusable dbt macros and abstractions: incremental strategies, ETL building blocks, and generic data quality tests, all optimized for ClickHouse-specific behavior and our data patterns.
  • Develop DataOps tooling - CI pipelines, data migration frameworks, and security controls - with a strong focus on reliability, self-service usability, and scale.
  1. Team contributions
  • Conduct thorough code reviews for team members and other team contributors.
  • Actively participate in technical and architectural design discussions.
  • Drive technical leadership in specific areas of our stack.
  • Continuously improve the team's development environment, with a focus on automation - including AI-assisted workflows.
  • Contribute to platform stability through proactive troubleshooting and timely incident resolution.
  1. Data modeling
  • Develop, refactor, and optimize business data models in line with our modeling standards and ClickHouse best practices.
  • Mentor and support contributors through code reviews and technical guidance.
  • Lead the design and implementation of the most technically demanding data marts - particularly those involving high data velocity, large volumes, or complex business logic.

Requirements

Required

  • Exceptional SQL skills โ€” this is non-negotiable.
  • Strong hands-on experience with Airflow, dbt, and Python.
  • Proven track record building and optimizing large-scale, high-throughput data pipelines.
  • Solid understanding of data warehousing fundamentals: ETL/ELT, dimensional modeling, and data quality.
  • Bachelor's degree in Computer Science or a related field.
  • Comfortable thriving in a fast-paced startup environment โ€” exciting and dynamic, but sometimes wonderfully chaotic.

Preferred

  • Hands-on experience with ClickHouse โ€” a significant advantage.
  • Familiarity with AWS or other cloud platforms.
  • Experience with CI/CD development, especially using GitHub Actions.

Compensation

The typical starting salary for this role in the United States is $84,000 - $143,000 USD.

The typical starting salary for this role in US Premium Markets (e.g., San Francisco Bay Area and New York City Metro Area) is $115,000 - $170,000 USD.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

Perks

  • Flexible work environment โ€” ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
  • Healthcare โ€” Employer contributions towards your healthcare.
  • Equity in the company โ€” Every new team member who joins our company receives stock options.
  • Time off โ€” Flexible time off in the US, generous entitlement in other countries.
  • A $500 Home office setup if youโ€™re a remote employee.
  • Global Gatherings โ€” opportunities to engage with colleagues at company-wide offsites.

Culture

As part of a rapidly scaling start up, you will be instrumental in shaping our culture. Learn more about our values on our careers page and follow our blog or LinkedIn to find out more about whatโ€™s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please see our Privacy Statement for more details.