Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data AnalyticsIndustries
Requirements
- 5+ years of industry experience building high-scale, data-intensive software solutions
- Proficient in Golang (preferred) or Java, with deep experience in distributed systems and microservices architecture
- Strong background in designing and implementing robust ETL pipelines and an understanding of data replication methodologies such as CDC
- Solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major CSP
- Practical experience with Kubernetes (K8s), including debugging and managing distributed systems at scale
- Exceptional production debugging skills, with the ability to navigate and solve complex technical issues in fast-paced environments
- Thrives in a high-velocity setting with significant ownership and autonomy
- A founder’s mindset with a focus on impact, innovation, and delivering measurable results
- Excellent communication skills and a track record of working effectively across teams
Responsibilities
- Design and develop a high-performance data onboarding platform capable of handling petabytes of data in real-time
- Build robust integrations with a variety of data sources (e.g., MySQL, Mongo, Iceberg), data storages (e.g., Snowflake, Redshift, ClickHouse), and object storages (e.g., S3, GCS)
- Create solutions that enable users to fully harness ClickHouse’s exceptional performance and throughput
- Work closely with internal teams to ensure the platform aligns with customer needs and business objectives
- Lead and influence technical discussions, continuously identifying and implementing improvements
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote?
Yes, this role is hiring remotely in any country where ClickHouse has a hiring presence.
What is the salary range for this position?
This information is not specified in the job description.
What skills are required for this Senior Software Engineer role?
Candidates need 5+ years of experience building high-scale data-intensive software, proficiency in Golang (preferred) or Java, expertise in distributed systems and microservices, strong ETL pipeline and data replication skills like CDC, cloud-native proficiency with at least one major CSP, and practical Kubernetes experience.
What is the company culture like at ClickHouse?
The Integrations Team works at petabyte scale in high-velocity environments with significant autonomy, collaborating with talented engineers, engaging customers and partners, and thriving in dynamic settings with an outcome-driven, impact-focused mindset.
What makes a strong candidate for this role?
Strong candidates have 5+ years building high-scale data solutions, expertise in Golang or Java with distributed systems, ETL/CDC experience, cloud-native and Kubernetes skills, plus exceptional debugging abilities and an outcome-driven mindset for dynamic environments.
Clickhouse
High-speed column-oriented database management system
About Clickhouse
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$291.8MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
201-500Employees
Benefits
Health Insurance
Unlimited Paid Time Off
Flexible Work Hours
Remote Work Options
Stock Options
Home Office Stipend
Risks
Redpanda Serverless poses a competitive threat in real-time data processing.
Integration challenges with PeerDB may delay expected benefits.
Dependency on Supabase could pose operational risks.
Differentiation
ClickHouse's column-oriented design offers superior speed for analytical queries.
The open-source model allows flexible deployment across various environments.
Integration with Grafana enhances data visualization capabilities.
Upsides
Partnership with Alibaba Cloud boosts presence in the Chinese market.
Acquisition of PeerDB enhances real-time analytics capabilities.
Launch of ClickPipes improves data processing efficiency for real-time updates.
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