Senior Data Engineer (Snowflake/ETL/SQL)

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Unable to Provide Sponsorship

Skills

Snow Flake Schema
Python
Extract
Transform
Load
SQL
Dimensional Modeling
Business Intelligence
Data Warehouse

Job Details

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

  • Work extensively with Snowflake to design schemas, optimize queries, and implement data-sharing and security best practices.
  • Design, develop, and optimize SQL queries, stored procedures, and scripts for complex data transformations and reporting needs.
  • Architect and implement scalable Data Warehouse solutions that support analytics, BI, and reporting platforms.
  • Build, manage, and automate ETL pipelines to extract, transform, and load data from diverse sources into enterprise data systems.
  • Leverage Python for automation, data wrangling, and integration tasks across projects.
  • Collaborate with business analysts, data scientists, and stakeholders to translate requirements into robust technical solutions.
  • Monitor, troubleshoot, and improve the performance and scalability of existing data solutions.
  • Follow data governance, quality, and security standards to ensure compliance and accuracy.

Required Skills & Experience

  • 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.
  • Advanced SQL (10+ years): Proven expertise with query optimization, performance tuning, and complex SQL development.
  • Data Warehousing (10+ years): Strong understanding of dimensional modeling, star/snowflake schemas, and enterprise DW design.
  • ETL Development: Hands-on experience with ETL design, development, and orchestration tools (Informatica, Talend, ADF, or similar).
  • Python (2 3 years, intermediate): Proficiency in scripting for automation, data manipulation, and API integration.
  • Ability to work independently and mentor junior team members.
  • Excellent communication and collaboration skills.
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