

Delphi-US, LLC - Peacemakers in the Talent War
Snowflake Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Snowflake Engineer, a 100% remote contract position lasting "X months" with a pay rate of "$X per hour." Requires 7+ years of data engineering experience, 5+ years of Snowflake expertise, and proficiency in SQL and ELT frameworks.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
March 10, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Madison, WI
-
π§ - Skills detailed
#Data Quality #Datasets #Snowflake #Monitoring #dbt (data build tool) #BI (Business Intelligence) #Cloud #Storage #Data Modeling #SQL (Structured Query Language) #ML (Machine Learning) #Clustering #Scala #Data Warehouse #GitLab #Version Control #Databases #Data Architecture #Azure cloud #AI (Artificial Intelligence) #Data Science #Azure #Data Processing #Strategy #Data Engineering #Deployment #"ETL (Extract #Transform #Load)" #SnowPipe #Slowly Changing Dimensions #Security
Role description
Job Title: Snowflake Data Warehouse Engineer (Contract) - Job#6001
Location: 100% Remote
Job Description
A senior-level Snowflake Data Warehouse Engineer with 7+ years of data engineering experience and 5+ years of hands-on Snowflake experience in production environments. This role will deliver scalable, high-performant data warehouse powering investment risk and portfolio analytics. The ideal candidate has built and optimized enterprise-grade analytical platforms, implemented robust CDC frameworks, and supported performance-sensitive financial reporting workloads. The resource will assist with developing reliable, governed, and performant data solutions that enable exposure reporting, factor analysis, time-series risk metrics, stress testing, and performance attribution. This role works closely with business intelligence engineers, data architects, and data scientists.
Job Responsibilities / Typical Day In The Role
β’ Implement Snowflake schemas and object lifecycle strategies optimized for risk and portfolio analytics workloads.
β’ Develop scalable, dimensional, and time-series data models supporting portfolio hierarchies, positions, security master integration, exposures, and risk metrics.
β’ Build robust ELT pipelines using dbt and native Snowflake capabilities, including Streams, Tasks, and Snowpipe, to support daily and intraday data processing.
β’ Implement efficient change data capture and incremental processing strategies for position, pricing, risk, and reference data.
β’ Develop and maintain high-performance tables, views, and materialized views aligned with performance-sensitive analytical use cases.
β’ Lead query performance optimization efforts, including clustering strategy design, micro-partition awareness, warehouse sizing, caching behavior, and workload management.
β’ Establish data quality frameworks, including reconciliation controls, completeness checks, monitoring, and alerting for financial datasets.
β’ Automate Snowflake deployments and SQL transformations using GitLab CI/CD pipelines and version control best practices.
β’ Document data models, lineage, architectural decisions, governance controls, and operational runbooks.
β’ Troubleshoot production failures, perform root cause analysis, and remediate issues impacting reporting timelines.
Requirements:
β’ 7+ years of experience in data engineering or data warehousing roles.
β’ 5+ years of hands-on Snowflake experience in production environments, including: - Creating and managing databases, schemas, roles, and grants.
β’ Designing and implementing Streams and Tasks for CDC and scheduled processing. - Building and optimizing materialized views and performance-driven data models.
β’ Expert-level SQL skills, with deep experience in complex window functions, CTEs, analytic queries, set-based transformations, and query performance tuning.
β’ 4+ years of experience with ELT frameworks or transformation tools, preferably dbt.
β’ Experience integrating Snowflake with Azure cloud storage and upstream financial systems.
β’ Demonstrated experience implementing GitLab CI/CD for SQL-based transformations and Snowflake object deployments.
β’ Strong understanding of analytical data modeling, including star schemas, slowly changing dimensions, fact tables, aggregates, and large-scale time-series structures.
β’ Experience supporting high-volume, performance-sensitive financial or portfolio datasets.
β’ Familiarity with portfolio accounting, security master data, market data feeds, or risk concepts such as VaR, factor exposure, stress testing, or performance attribution.
About Delphi-US: Peacemakers in the Talent War
Delphi-US is a national IT Services firm based in Newport, Rhode Island. Delphi attracts our nationβs best and brightest Technical & Professional Talent and positions our nationβs finest employers to further their competitive advantages. Delphi's core technical focus includes Data Sciences & Analytics, Modern AI/ML Model Monetization, Cloud Engineering, Cyber Security, ERP Rescue; serving domains from sensitive national energy sectors to critical financial services, biomed, life sciences & pharma, major government & municipal institutions, and much of the USA's Fortune 500 corporations. Delphi Associates are deployed on critical IT Projects where their consultative business acumen, comprehensive technical expertise, and committed service mission drives our client's success. Our proprietary skill-based and cultural matching process results in higher qualified project teams, custom curated for our clientβs specific technical & functional goals. We are supremely experienced, friendly, professional, and ready to advocate on your behalf. Delphi has an indelible understanding of employer expectations, a track record of project success and we deliver lasting results.
Job Title: Snowflake Data Warehouse Engineer (Contract) - Job#6001
Location: 100% Remote
Job Description
A senior-level Snowflake Data Warehouse Engineer with 7+ years of data engineering experience and 5+ years of hands-on Snowflake experience in production environments. This role will deliver scalable, high-performant data warehouse powering investment risk and portfolio analytics. The ideal candidate has built and optimized enterprise-grade analytical platforms, implemented robust CDC frameworks, and supported performance-sensitive financial reporting workloads. The resource will assist with developing reliable, governed, and performant data solutions that enable exposure reporting, factor analysis, time-series risk metrics, stress testing, and performance attribution. This role works closely with business intelligence engineers, data architects, and data scientists.
Job Responsibilities / Typical Day In The Role
β’ Implement Snowflake schemas and object lifecycle strategies optimized for risk and portfolio analytics workloads.
β’ Develop scalable, dimensional, and time-series data models supporting portfolio hierarchies, positions, security master integration, exposures, and risk metrics.
β’ Build robust ELT pipelines using dbt and native Snowflake capabilities, including Streams, Tasks, and Snowpipe, to support daily and intraday data processing.
β’ Implement efficient change data capture and incremental processing strategies for position, pricing, risk, and reference data.
β’ Develop and maintain high-performance tables, views, and materialized views aligned with performance-sensitive analytical use cases.
β’ Lead query performance optimization efforts, including clustering strategy design, micro-partition awareness, warehouse sizing, caching behavior, and workload management.
β’ Establish data quality frameworks, including reconciliation controls, completeness checks, monitoring, and alerting for financial datasets.
β’ Automate Snowflake deployments and SQL transformations using GitLab CI/CD pipelines and version control best practices.
β’ Document data models, lineage, architectural decisions, governance controls, and operational runbooks.
β’ Troubleshoot production failures, perform root cause analysis, and remediate issues impacting reporting timelines.
Requirements:
β’ 7+ years of experience in data engineering or data warehousing roles.
β’ 5+ years of hands-on Snowflake experience in production environments, including: - Creating and managing databases, schemas, roles, and grants.
β’ Designing and implementing Streams and Tasks for CDC and scheduled processing. - Building and optimizing materialized views and performance-driven data models.
β’ Expert-level SQL skills, with deep experience in complex window functions, CTEs, analytic queries, set-based transformations, and query performance tuning.
β’ 4+ years of experience with ELT frameworks or transformation tools, preferably dbt.
β’ Experience integrating Snowflake with Azure cloud storage and upstream financial systems.
β’ Demonstrated experience implementing GitLab CI/CD for SQL-based transformations and Snowflake object deployments.
β’ Strong understanding of analytical data modeling, including star schemas, slowly changing dimensions, fact tables, aggregates, and large-scale time-series structures.
β’ Experience supporting high-volume, performance-sensitive financial or portfolio datasets.
β’ Familiarity with portfolio accounting, security master data, market data feeds, or risk concepts such as VaR, factor exposure, stress testing, or performance attribution.
About Delphi-US: Peacemakers in the Talent War
Delphi-US is a national IT Services firm based in Newport, Rhode Island. Delphi attracts our nationβs best and brightest Technical & Professional Talent and positions our nationβs finest employers to further their competitive advantages. Delphi's core technical focus includes Data Sciences & Analytics, Modern AI/ML Model Monetization, Cloud Engineering, Cyber Security, ERP Rescue; serving domains from sensitive national energy sectors to critical financial services, biomed, life sciences & pharma, major government & municipal institutions, and much of the USA's Fortune 500 corporations. Delphi Associates are deployed on critical IT Projects where their consultative business acumen, comprehensive technical expertise, and committed service mission drives our client's success. Our proprietary skill-based and cultural matching process results in higher qualified project teams, custom curated for our clientβs specific technical & functional goals. We are supremely experienced, friendly, professional, and ready to advocate on your behalf. Delphi has an indelible understanding of employer expectations, a track record of project success and we deliver lasting results.





