SQL Developer - Modern Data tech

  • Miami, FL
  • Posted 8 hours ago | Updated 8 hours ago

Overview

Hybrid
$50 - $60
Contract - W2
Contract - Independent

Skills

SQL
Snowflake

Job Details

Senior Data Engineer / SQL Developer

Location: Miami, FL (Hybrid, 1 2 days onsite per week)
Contract Length: 6-12+ months potential CTH

background in SQL Development ( SSIS, Stored Procedures) but also has modern data technology with Snowflake, DBT and Matillion

Job Description

Role Overview

We are seeking a highly skilled Senior Data Engineer / SQL Developer to support ongoing data initiatives. The ideal candidate will have a strong foundation in SQL development and ETL (SSIS) while also bringing experience with Snowflake, Matillion, and dbt for modern cloud data platform development.

Key Responsibilities

  • Design, develop, and optimize complex SQL stored procedures, views, and queries in large-scale enterprise environments.
  • Build and maintain ETL workflows using SSIS as well as modern ELT tools (Matillion, dbt) for cloud-based pipelines.
  • Develop, enhance, and optimize data integrations into Snowflake.
  • Analyze and map data across multiple systems to ensure accuracy and consistency.
  • Troubleshoot, optimize, and improve performance of data transformations and workflows.
  • Collaborate with business analysts, data architects, and stakeholders to understand requirements and translate them into scalable solutions.
  • Apply knowledge of data lifecycles, including the handling of slowly changing dimensions and data quality impacts.

Required Skills & Qualifications

  • 7+ years of professional experience as a SQL Developer or Data Engineer.
  • Strong expertise with T-SQL, SSIS, stored procedures, and complex transformations.
  • Hands-on experience with Snowflake, including schema design, performance tuning, and data integration.
  • Proficiency with Matillion and dbt for building ELT pipelines.
  • Strong analytical skills with the ability to perform complex data mapping and transformations.
  • Solid understanding of data lifecycles, data warehousing concepts, and best practices.
  • Experience working in large-scale organizations or as a technical lead in mid-sized companies.
  • Excellent communication and problem-solving skills.

Nice to Have

  • Experience in travel, hospitality, or related industries.
  • Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform) in a data engineering context.
  • Exposure to data modeling practices and BI/reporting tools.
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