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Clickhouse Jobs in New York (NOW HIRING)

Solidus Labs

Senior Data Engineer - Infra

Manhattan, NY · On-site +1

$114K - $157K/yr

Own ClickHouse clusters sizing, topology decisions, and capacity planning across both real-time ingestion and T+1 batch workloads, balancing cost, latency, and throughput. * Drive data reliability ...

Solidus Labs

Senior Data Engineer - Infra

Manhattan, NY · On-site

$114K - $157K/yr

Own ClickHouse clusters sizing, topology decisions, and capacity planning across both real-time ingestion and T+1 batch workloads, balancing cost, latency, and throughput. * Drive data reliability ...

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. If you're someone who can take ownership of data ...

MedReview

ETL Engineer

Manhattan, NY · On-site

You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing. If you're someone who can take ownership of data ...

Hack The Box

Senior Data Engineer

New York, NY

$116K - $157K/yr

ClickHouse * Languages: Python, SQL * Modelling & quality: dbt, data quality gates * Containers & CI/CD: Docker, Kubernetes, GitHub Actions / equivalent * Legacy (being retired): Snowflake The ...

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets. * ML Data Readiness: Structure data ...

Moonshot

Staff Software Engineer

Manhattan, NY · On-site

... ClickHouse, Postgres, Kinesis, Firehose, S3). • Drive technical strategy - define our engineering principles, evolve architecture across microservices, ingestion, and LLM-driven systems. • Mentor ...

Career Renew

Staff Backend Engineer - Crypto

New York, NY · On-site

$250K - $300K/yr

Build and operate reliable pipelines that ingest blockchain data into ClickHouse (or other OLAP systems) for low-latency analytics * Maintain the accuracy, uptime, and performance of our analytics ...

Spiral

Software Engineer - Systems

New York, NY · On-site

$200K - $275K/yr

Familiarity with tools like Apache Arrow, Parquet, DataFusion, Clickhouse, or DuckDB is a plus * Understanding of cutting-edge ML infrastructure stack (e.g. PyTorch, CUDA) is also a plus * Experience ...

Moonshot AI

Staff Software Engineer

New York, NY · On-site

$190K - $260K/yr

Design and evolve our backend infrastructure across Python (Flask-RestX), serverless AWS, and data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3). * Drive technical strategy - define our ...

Profound

Data Engineer

New York, NY · On-site

$140K - $260K/yr

Optimize performance and costs across Snowflake, Clickhouse, AWS, dbt, and Dagster * Own data quality by implementing monitoring, alerting, and validation * Manage and extend infrastructure ...

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Clickhouse information

What is a ClickHouse?

A ClickHouse job typically involves working with ClickHouse, an open-source columnar database management system optimized for real-time analytics. Professionals in this role are responsible for designing, implementing, and optimizing ClickHouse databases to handle large volumes of data efficiently. Common responsibilities include query performance tuning, data modeling, and integrating ClickHouse with other data processing tools. This role is often found in industries like finance, ad tech, and web analytics, where fast analytical queries over massive datasets are required.

What are the key skills and qualifications needed to thrive in the ClickHouse position?

To thrive as a ClickHouse Database Engineer, you need strong expertise in database management, SQL, and large-scale data architecture, often backed by a degree in computer science or a related field. Familiarity with the ClickHouse database platform, Linux server administration, and experience with cloud technologies are typically required; certifications in database administration or cloud platforms are advantageous. Exceptional problem-solving, analytical thinking, and teamwork skills make candidates stand out in this technical role. These abilities are crucial for ensuring performance, reliability, and efficient collaboration in managing high-volume data systems.

What types of challenges might I encounter when working with ClickHouse databases?

As a ClickHouse Database Engineer, you may face challenges related to optimizing query performance, managing data partitioning, and ensuring high availability in distributed systems. Balancing rapid data ingest with fast analytical queries can require careful schema design and monitoring. Adapting to evolving business requirements and troubleshooting integration with various data sources are also common aspects of the role. Successful engineers proactively address these challenges through continuous learning and collaboration with data engineering and DevOps teams.

What are the most commonly searched types of Clickhouse jobs in New York?

The most popular types of Clickhouse jobs in New York are:

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For Clickhouse jobs in New York, the most frequently searched job titles are:

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Clickhouse jobs near you
Infographic showing various Clickhouse job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Data Engineer - Infra

Solidus Labs

Manhattan, NY • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 22 days ago

Job description

Description
About Solidus Labs
At Solidus, we are shaping the financial markets of tomorrow by providing cutting-edge trade surveillance technology that protects investors, enhances transparency, and ensures regulatory compliance across traditional financial assets, prediction, and crypto markets.
With over 20 years of experience in developing Wall Street-grade FinTech, our team delivers innovative solutions that financial institutions and regulators worldwide rely on to detect, investigate, and report market manipulation, financial crime, and fraud. Headquartered on Wall Street, with offices in Singapore, Tel Aviv, and London, we safeguard millions of retail and institutional entities globally, monitoring over a trillion events each day.
The Role
We're looking for a strong Software Engineer with experience in Data Engineering. Someone who is proficient in building robust, scalable, maintainable, and thoroughly monitored data pipelines on cloud environments.
As an ambitious start-up in an extremely dynamic space, we pride ourselves on being independent, accountable, and organized, with a self-starter attitude and a willingness to get our hands dirty with day-to-day work that might fall outside our official scope, while keeping an eye on our goals and the big picture.
Responsibilities:
  • Design and optimize the ClickHouse data layer - including table engines, partition strategies, materialized views, and storage policies - to ensure high performance at billions-of-events scale.
  • Own ClickHouse clusters sizing, topology decisions, and capacity planning across both real-time ingestion and T+1 batch workloads, balancing cost, latency, and throughput.
  • Drive data reliability and deduplication strategies within ClickHouse, leveraging engine-level features (ReplacingMergeTree, CollapsingMergeTree, etc.) and pipeline-level controls to guarantee data completeness and consistency.
  • Establish and continuously improve monitoring, alerting, and observability for the ClickHouse layer - covering replication health, merge performance, query latency, and resource utilization.
  • Serve as the internal ClickHouse authority, coaching engineering teams across the organization on query optimization, data modeling best practices, and efficient use of ClickHouse-specific constructs.
  • Act as the primary liaison with the ClickHouse vendor team - triaging issues, incorporating product feedback, evaluating new features, and translating vendor guidance into actionable improvements for our deployment.
  • Collaborate with downstream consumers (analytics, ML, product) to understand access patterns and continuously refine how data is stored and served - improving query performance, schema design, and data formats for diverse client needs.
  • Define and enforce schema versioning and governance standards within the ClickHouse environment, ensuring schema evolution does not compromise pipeline reliability or consumer compatibility.

Requirements
  • BSc. in Computer Sciences.
  • Strong background as a software engineer with at least 5+ years of hands-on experience with Java, Rust, or Python.
  • 8+ years in data engineering and data pipeline development on high-volume, low-latency production environments.
  • Experience working in low-latency, real-time systems processing billions of events a day.
  • Deep, hands-on ClickHouse expertise - including cluster architecture, table engine selection, replication, sharding, and query optimization. Experience engaging with the ClickHouse vendor team or community is a strong plus.
  • Proficiency across the broader data engineering stack: Apache Kafka, Spark, Airflow, Kubernetes, Redis, Snowflake, and caching technologies.
  • Expert-level SQL and query optimization skills, with a strong emphasis on ClickHouse-specific patterns - materialized views, projections, TTLs, and merge tree tuning.
  • Experience with monitoring and observability tools (Prometheus, Grafana, or similar), with the ability to define and own operational health metrics for a ClickHouse deployment.
  • Curiosity, ability to work independently, and a track record of proactively identifying and driving solutions.
  • Excellent verbal and written communication skills, including the ability to coach and influence engineers across teams in a remote environment.

Apply