Data Engineer - BELAY

Belay•Atlanta, GA

1d•$110,000 - $150,000•Remote

About The Position

BELAY is a growing and vibrant, Atlanta, GA-based company that offers virtual staffing solutions in the areas of Virtual Assistants, Marketing Assistants, and Financial Specialists. We are a fast-paced team of high performers that work extremely hard but also know how to have a great time. Culture is a top priority and our values are lived out daily. Who is BELAY? Click here and enjoy! Below are the position requirements. Job purpose The Data Engineer will play a critical role in designing and maintaining Belay’s modern data stack. This role is responsible for building reliable, scalable data pipelines, optimizing warehouse performance, and implementing robust orchestration frameworks. The ideal candidate is highly technical, systems-minded, and experienced in Snowflake-centric environments with strong PostgreSQL and data orchestration expertise. You should be comfortable owning data infrastructure end-to-end and partnering cross-functionally with analytics, finance, and engineering teams.

Requirements

5+ years of experience in data engineering or related field
Strong hands-on experience with Snowflake
Strong experience with PostgreSQL
Proven expertise with Apache Airflow or Dagster and workflow orchestration
Experience building and maintaining modern ELT/ETL pipelines
Advanced SQL skills and strong data modeling experience
Experience with orchestration and pipeline monitoring best practices
Familiarity with cloud data architectures (AWS, GCP, or Azure)
Strong problem-solving and performance tuning skills
Excellent communication and documentation abilities

Nice To Haves

Experience with dbt or similar transformation frameworks
Experience with real-time or streaming pipelines
Infrastructure-as-code experience (Terraform or similar)
Experience supporting finance or operational analytics teams
Background in high-growth or services-based companies

Responsibilities

Design, build, and maintain scalable ELT/ETL pipelines
Develop and optimize data models in Snowflake/PostgreSQL
Ensure data reliability, integrity, and performance across the platform
Implement best practices for data warehousing and pipeline efficiency
Build and manage workflows using Apache Airflow/Dagster
Design robust orchestration frameworks for batch and near-real-time pipelines
Monitor pipeline health and implement proactive alerting
Troubleshoot and resolve data pipeline failures quickly
Work extensively with Snowflake and PostgreSQL for source systems and operational workloads
Optimize queries and database performance
Design and maintain data ingestion patterns from Postgres to Snowflake
Tune Snowflake workloads for cost and performance efficiency
Implement partitioning, clustering, and workload management strategies
Continuously improve pipeline speed and reliability
Partner with analytics, finance, and product teams to support reporting needs
Translate business requirements into scalable data solutions
Mentor junior data engineers and promote best practices
Contribute to the long-term data architecture roadmap