

KPG99 INC
Data Engineer Cloud
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer Cloud/Architect for a long-term contract in Chicago, IL (Hybrid). Requires 6+ years in data engineering, 4+ years in architecture, Snowflake expertise, strong cloud exposure (AWS preferred), and familiarity with BI tools.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 7, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #SQL Server #AI (Artificial Intelligence) #Looker #Security #Redshift #Python #BI (Business Intelligence) #Big Data #Data Warehouse #"ETL (Extract #Transform #Load)" #Data Lake #Data Pipeline #SQL (Structured Query Language) #Data Access #Kafka (Apache Kafka) #Leadership #ThoughtSpot #Agile #Snowflake #Deployment #Elasticsearch #Spark (Apache Spark) #Data Science #Cloud #Data Quality #PostgreSQL #Tableau #Hadoop #Oracle #Databases #HBase #Data Architecture #Strategy #Migration #Data Engineering #Databricks #MongoDB #Data Governance
Role description
Need USC And GC only
Hi,
Position: Data Engineer Cloud/Architect
Type: Contract (Long term)
Location: Chicago, IL (Hybrid)
Must have:
Position Responsibilities
Snowflake exp of 4+ years
• Work with Snowflake to enable secure AI data access and pipelines
• Leverage Snowflake Cortex for embedded AI/LLM capabilities
• Ensure proper data governance, masking, and access controls
• Integrate AI solutions with enterprise data platforms (Snowflake, Databricks)
The role: Data Architect on Hyatt's growing data engineering team, reporting into a fairly new, high-visibility group. You'd work closely with data engineering, data science, and data product management to shape how data flows across the company.
Core responsibilities:
• Own the enterprise data architecture strategy — setting standards for data flow, aggregation, migration, modeling, and consumption
• Bridge business and engineering — gather requirements from stakeholders (agile teams, people data, project portfolios) and translate them into technical specs for ETL/BI developers
• Design end-to-end data pipelines — from data lake/warehouse architecture through security review and deployment
• Governance — validate that projects align with target-state architecture, enforce data quality standards, handle prioritization/cost-benefit tradeoffs across competing stakeholder demands
• Reporting infrastructure — help build self-service and automated reporting for leadership/execs
What they want in a candidate:
• 6+ years in data engineering/BI/analytics, with 4+ years specifically in architecture for commercial-scale pipelines
• Strong cloud exposure (AWS preferred)
• Hands-on familiarity with BI tools (Tableau, PowerBI, Looker, ThoughtSpot)
• Knowledge of data warehouse/lake platforms (Snowflake, Redshift, SQL Server)
• Bonus: big-data/open-source stack experience (Spark, Kafka, Hadoop, HBase, Elasticsearch)
• Comfortable with a range of databases (SQL, Python, PostgreSQL, MongoDB, Oracle, etc.)
• A bachelor's in a quantitative field (CS, engineering, math, stats, finance); an advanced degree is a plus
• Soft skills matter a lot here too — they explicitly want someone who's a strong relationship-builder, comfortable with ambiguity, and aligned with Hyatt's stated values (respect, integrity, humility, empathy, creativity, fun)
In short: this isn't a pure "build pipelines" engineering role — it's a strategic, cross-functional architecture position where technical depth (pipelines, cloud, BI, big data) matters, but so does the ability to influence stakeholders, set standards, and prioritize across a chaotic, fast-moving environment.
Best regards,
Madhvendra Kumar
Sr. Technical Recruiter
KPG99,INC
madhvendra@kpgtech.com Direct: 6098300389
Address: 3240 E State St EXT, Hamilton, NJ 08619
An E-Verified Company
Need USC And GC only
Hi,
Position: Data Engineer Cloud/Architect
Type: Contract (Long term)
Location: Chicago, IL (Hybrid)
Must have:
Position Responsibilities
Snowflake exp of 4+ years
• Work with Snowflake to enable secure AI data access and pipelines
• Leverage Snowflake Cortex for embedded AI/LLM capabilities
• Ensure proper data governance, masking, and access controls
• Integrate AI solutions with enterprise data platforms (Snowflake, Databricks)
The role: Data Architect on Hyatt's growing data engineering team, reporting into a fairly new, high-visibility group. You'd work closely with data engineering, data science, and data product management to shape how data flows across the company.
Core responsibilities:
• Own the enterprise data architecture strategy — setting standards for data flow, aggregation, migration, modeling, and consumption
• Bridge business and engineering — gather requirements from stakeholders (agile teams, people data, project portfolios) and translate them into technical specs for ETL/BI developers
• Design end-to-end data pipelines — from data lake/warehouse architecture through security review and deployment
• Governance — validate that projects align with target-state architecture, enforce data quality standards, handle prioritization/cost-benefit tradeoffs across competing stakeholder demands
• Reporting infrastructure — help build self-service and automated reporting for leadership/execs
What they want in a candidate:
• 6+ years in data engineering/BI/analytics, with 4+ years specifically in architecture for commercial-scale pipelines
• Strong cloud exposure (AWS preferred)
• Hands-on familiarity with BI tools (Tableau, PowerBI, Looker, ThoughtSpot)
• Knowledge of data warehouse/lake platforms (Snowflake, Redshift, SQL Server)
• Bonus: big-data/open-source stack experience (Spark, Kafka, Hadoop, HBase, Elasticsearch)
• Comfortable with a range of databases (SQL, Python, PostgreSQL, MongoDB, Oracle, etc.)
• A bachelor's in a quantitative field (CS, engineering, math, stats, finance); an advanced degree is a plus
• Soft skills matter a lot here too — they explicitly want someone who's a strong relationship-builder, comfortable with ambiguity, and aligned with Hyatt's stated values (respect, integrity, humility, empathy, creativity, fun)
In short: this isn't a pure "build pipelines" engineering role — it's a strategic, cross-functional architecture position where technical depth (pipelines, cloud, BI, big data) matters, but so does the ability to influence stakeholders, set standards, and prioritize across a chaotic, fast-moving environment.
Best regards,
Madhvendra Kumar
Sr. Technical Recruiter
KPG99,INC
madhvendra@kpgtech.com Direct: 6098300389
Address: 3240 E State St EXT, Hamilton, NJ 08619
An E-Verified Company






