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Remote Clickhouse Jobs in Secaucus, NJ (NOW HIRING)

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data ... Skills should include Python, Data Warehouses (such as Clickhouse, Snowflake, or BigQuery) * Nice ...

Vercel

Software Engineer, Observability

New York, NY · On-site +1

If you're located beyond that distance, the role is fully remote. For location-specific details ... Solid understanding of how to efficiently work with columnar databases, such as Clickhouse or ...

Vercel

Software Engineer, Observability

New York, NY · On-site +1

If you're located beyond that distance, the role is fully remote. For location-specific details ... Solid understanding of how to efficiently work with columnar databases, such as Clickhouse or ...

Knock

DevOps Engineer

New York, NY · On-site +1

$57.75 - $79/hr

We're a remote-first (with a NYC base) Series A startup of 20+ employees that believe in the power ... We use Aurora Postgres, Mongo, and ClickHouse so significant experience with at least one of these ...

Knock

Infrastructure Engineer

New York, NY · On-site +1

$117K - $154K/yr

We're a remote-first (with a NYC base) Series A startup of 20+ employees that believe in the power ... We use Aurora Postgres, Mongo, and ClickHouse so significant experience with at least one of these ...

All JobsClickhouse JobsRemote Clickhouse JobsRemote Clickhouse Jobs in Secaucus, NJ

Remote Clickhouse information

What is the difference between Remote Clickhouse vs Remote Data Engineer?

AspectRemote ClickhouseRemote Data Engineer
Required CredentialsSQL, database management, data warehousingSQL, data modeling, ETL tools, cloud platforms
Work EnvironmentData analytics teams, database administrationData pipelines, infrastructure, analytics teams
Industry UsageData storage, real-time analyticsData integration, pipeline development
Search & Comparison IntentYesYes

Remote Clickhouse specialists focus on managing and optimizing Clickhouse databases for analytics, while Remote Data Engineers build and maintain data pipelines and infrastructure. Both roles require SQL skills and work within data teams, but their core responsibilities differ in scope and focus.

What is a Remote ClickHouse engineer?

A Remote ClickHouse Engineer is a professional who specializes in managing, optimizing, and troubleshooting ClickHouse databases while working remotely. ClickHouse is an open-source, high-performance columnar database management system used for real-time analytics and big data applications. Remote ClickHouse Engineers are responsible for tasks such as database administration, query optimization, schema design, and ensuring the reliability and scalability of ClickHouse deployments. They often collaborate with development and data teams to implement solutions that leverage ClickHouse's speed and efficiency. Working remotely, they utilize various communication and collaboration tools to stay connected with their teams.

What skills and qualifications are needed to thrive as a Remote ClickHouse engineer?

To thrive as a Remote ClickHouse Developer, you need strong SQL expertise, data modeling skills, and experience with large-scale data processing, typically supported by a background in computer science or a related field. Familiarity with ClickHouse, distributed systems, Linux environments, and tools like Docker and version control (e.g., Git) is essential. Excellent problem-solving, self-motivation, and effective remote communication skills are vital for success in this role. These competencies ensure efficient data management, high system performance, and seamless collaboration in distributed teams.

What are the typical challenges faced by a Remote ClickHouse engineer when managing distributed database clusters?

As a Remote ClickHouse Engineer, one of the main challenges is ensuring consistent performance and availability across distributed clusters, especially when network latency or hardware differences arise. You'll need to proactively monitor replication, sharding, and backup processes, often troubleshooting issues without direct physical access to servers. Collaboration with DevOps and data engineering teams is crucial for deploying updates, scaling infrastructure, and optimizing queries. Adapting to asynchronous communication and clear documentation is also key in a remote environment to maintain smooth operations and knowledge sharing.
What job categories do people searching Remote Clickhouse jobs in Secaucus, NJ look for? The top searched job categories for Remote Clickhouse jobs in Secaucus, NJ are:
What cities near Secaucus, NJ are hiring for Remote Clickhouse jobs? Cities near Secaucus, NJ with the most Remote Clickhouse job openings:
Remote Clickhouse jobs near you
Infographic showing various Remote Clickhouse job openings in Secaucus, NJ as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.

Senior Data Engineer - Infra

Solidus Labs

Manhattan, NY • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 5 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