Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL at Pittsburgh, PA (Fully Onsite) - CG

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required

Skills

DBT (Data Build Tool)
Snowflake
PL/SQL
Airflow
DBT Cloud

Job Details

Role: Data Engineer (Snowflake)

Locations: Pittsburgh, PA (Fully Onsite)

Duration: 12+ Months Contract

F2F Interview Highly Preferred

Note: Candidate needs to be in the office 5 Days every week. Local or candidates from adjacent states only.

Must have skills: Snowflake
Good to have skills: PL/SQL

Job Description:

  • Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team.
  • Person will be responsible for designing, developing, and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives.

Key Responsibilities:

  • Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
  • Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Optimize Snowflake performance through query tuning, clustering, and resource management.
  • Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Maintain and enhance CI/CD pipelines for DBT projects.

Required Qualifications:

  • 3+ years of experience in data engineering or a related field.
  • Strong hands-on experience with DBT (modular SQL development, testing, documentation).
  • Proficiency in Snowflake (data warehousing, performance tuning, security).
  • Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages.
  • Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
  • Experience with version control systems (e.g., Git) and CI/CD practices.
  • Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.
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