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Hierarchical Clustering Jobs (NOW HIRING)

Snowflake engineer - NYC Onsite

Manhattan, NY · On-site

$126K - $151K/yr

... clustering keys, micro-partition pruning, query profiling, result caching, resource monitors, and credit-consumption reporting. * Implement data security and entitlements: RBAC hierarchy, dynamic ...

... clustering, decision trees, A/B testing and experimental design A Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) A The ability to communicate complex ...

Senior Statistician

Union, NJ · On-site

$88K - $109K/yr

... clustering, decision trees, A/B testing and experimental design * Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) * The ability to communicate complex ...

Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is ... Solid grounding in statistical methods time series, regression, clustering, and hypothesis testing ...

... hierarchies. Operationalize audit-ready controls (change management, approvals, runbooks ... clustering/micro-partitioning • Performance Optimization and Troubleshooting - Analyze and ...

Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning) * Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level ...

Define and enforce best practices for performance optimization (warehouse sizing, clustering, query tuning) * Own Snowflake security architecture: RBAC, role hierarchy, data masking, row/column level ...

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Hierarchical Clustering information

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$110K

$184.5K

How much do hierarchical clustering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for hierarchical clustering in the United States is $109,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Hierarchical Clustering vs Data Analyst?

AspectHierarchical ClusteringData Analyst
Primary RoleUnsupervised machine learning technique for data groupingAnalyzing data to identify trends and support decision-making
Required SkillsStatistical analysis, programming (Python/R), understanding of clustering algorithmsData visualization, statistical analysis, Excel, SQL
Work EnvironmentData science teams, research projects, machine learning applicationsBusiness environments, reporting, data interpretation

Hierarchical Clustering is a machine learning method used to group similar data points without labeled outcomes, often employed in data science projects. Data Analysts focus on interpreting data, creating reports, and providing insights to inform business decisions. While both roles work with data, Hierarchical Clustering involves technical algorithm development, whereas Data Analysts focus on data interpretation and communication.

More about Hierarchical Clustering jobs

What states have the most Hierarchical Clustering jobs?

States with the most job openings for Hierarchical Clustering jobs include:

What job categories do people searching Hierarchical Clustering jobs look for?

The top searched job categories for Hierarchical Clustering jobs are:

Infographic showing various Hierarchical Clustering job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $109,999 per year, or $52.9 per hour.

Snowflake engineer - NYC Onsite

Staffingine LLC

Manhattan, NY • On-site

$126K - $151K/yr

Other

Re-posted 15 days ago


Job description

Job Title: Snowflake engineer
Job Location: NYC/onsite
Job Type: Full-Time

Job Description:

  • Design, develop, and optimize Snowflake data models (staging integration semantic/consumption layers) for institutional trade, position, reference, and market data.
  • Build ingestion pipelines using Snowpipe / Snowpipe Streaming, Streams & Tasks, Dynamic Tables, and external stages against S3.
  • Develop transformation logic in SQL and dbt with version control, CI/CD, and automated testing.
  • Tune performance and cost: warehouse right-sizing, clustering keys, micro-partition pruning, query profiling, result caching, resource monitors, and credit-consumption reporting.
  • Implement data security and entitlements: RBAC hierarchy, dynamic data masking, row access policies, secure views, and secure data sharing across LOBs.
  • Migrate legacy Oracle / Teradata / Sybase / Hadoop workloads to Snowflake, including reconciliation and parallel-run validation.
  • Partner with data governance on lineage, cataloging, data quality rules, and audit/regulatory evidence.
  • Support production: incident triage, root-cause analysis, SLA adherence, and on-call rotation for critical batch cycles.
  • Work in Agile squads with BAs, QA, and platform engineering; participate in design reviews and code reviews.