Senior Data Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 12, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Hybrid
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - 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.