

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Houston, TX, with a hybrid work setting. Contract length is unspecified, and pay rate is not provided. Requires 10+ years in data environments, expertise in SQL, Snowflake, ETL, and Python.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
September 12, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Pipeline #Scripting #Compliance #Data Warehouse #Data Transformations #SQL Queries #SQL (Structured Query Language) #Automation #Business Analysis #Data Wrangling #Python #Talend #Scala #Data Manipulation #Security #Data Science #Data Governance #Snowflake #Data Engineering #Informatica #BI (Business Intelligence) #API (Application Programming Interface) #ADF (Azure Data Factory)
Role description
Location: Houston, TX
Work Setting: Hybrid (3 days onsite)
Position Overview
We are seeking a highly experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, ETL design, and Snowflake. The ideal candidate will have 10+ years of hands-on experience in enterprise data environments, building and optimizing data pipelines, and supporting large-scale data platforms. Strong analytical, problem-solving, and communication skills are required, along with the ability to work in fast-paced business and technical environments.
Key Responsibilities
β’ Work extensively with Snowflake to design schemas, optimize queries, and implement data-sharing and security best practices.
β’ Design, develop, and optimize SQL queries, stored procedures, and scripts for complex data transformations and reporting needs.
β’ Architect and implement scalable Data Warehouse solutions that support analytics, BI, and reporting platforms.
β’ Build, manage, and automate ETL pipelines to extract, transform, and load data from diverse sources into enterprise data systems.
β’ Leverage Python for automation, data wrangling, and integration tasks across projects.
β’ Collaborate with business analysts, data scientists, and stakeholders to translate requirements into robust technical solutions.
β’ Monitor, troubleshoot, and improve the performance and scalability of existing data solutions.
β’ Follow data governance, quality, and security standards to ensure compliance and accuracy.
Required Skills & Experience
β’ Snowflake (4+ years, intermediate to advanced): Involvement in at least 2 3 end-to-end Snowflake implementations/projects, with experience in performance tuning, data sharing, and role-based access.
β’ Advanced SQL (10+ years): Proven expertise with query optimization, performance tuning, and complex SQL development.
β’ Data Warehousing (10+ years): Strong understanding of dimensional modeling, star/snowflake schemas, and enterprise DW design.
β’ ETL Development: Hands-on experience with ETL design, development, and orchestration tools (Informatica, Talend, ADF, or similar).
β’ Python (2 3 years, intermediate): Proficiency in scripting for automation, data manipulation, and API integration.
β’ Ability to work independently and mentor junior team members.
β’ Excellent communication and collaboration skills.
Location: Houston, TX
Work Setting: Hybrid (3 days onsite)
Position Overview
We are seeking a highly experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, ETL design, and Snowflake. The ideal candidate will have 10+ years of hands-on experience in enterprise data environments, building and optimizing data pipelines, and supporting large-scale data platforms. Strong analytical, problem-solving, and communication skills are required, along with the ability to work in fast-paced business and technical environments.
Key Responsibilities
β’ Work extensively with Snowflake to design schemas, optimize queries, and implement data-sharing and security best practices.
β’ Design, develop, and optimize SQL queries, stored procedures, and scripts for complex data transformations and reporting needs.
β’ Architect and implement scalable Data Warehouse solutions that support analytics, BI, and reporting platforms.
β’ Build, manage, and automate ETL pipelines to extract, transform, and load data from diverse sources into enterprise data systems.
β’ Leverage Python for automation, data wrangling, and integration tasks across projects.
β’ Collaborate with business analysts, data scientists, and stakeholders to translate requirements into robust technical solutions.
β’ Monitor, troubleshoot, and improve the performance and scalability of existing data solutions.
β’ Follow data governance, quality, and security standards to ensure compliance and accuracy.
Required Skills & Experience
β’ Snowflake (4+ years, intermediate to advanced): Involvement in at least 2 3 end-to-end Snowflake implementations/projects, with experience in performance tuning, data sharing, and role-based access.
β’ Advanced SQL (10+ years): Proven expertise with query optimization, performance tuning, and complex SQL development.
β’ Data Warehousing (10+ years): Strong understanding of dimensional modeling, star/snowflake schemas, and enterprise DW design.
β’ ETL Development: Hands-on experience with ETL design, development, and orchestration tools (Informatica, Talend, ADF, or similar).
β’ Python (2 3 years, intermediate): Proficiency in scripting for automation, data manipulation, and API integration.
β’ Ability to work independently and mentor junior team members.
β’ Excellent communication and collaboration skills.