Data Platform Engineer

Location: Hybrid in Denver, CO (2 days/week on-site)

Pay Rate: $50-60/hour (flexible depending on experience and qualifications)

Type: 6-Month Contract (with potential for extension)

Our client is building a modern business intelligence platform designed to help member organizations analyze their individual performance while also providing a consolidated, network-wide view of data. They are partnering with an experienced data team and a consulting group to deliver a scalable platform built on a modern data stack, including Snowflake, dbt, Dagster, and Power BI.

As part of this initiative, our client is seeking a Software Engineer with a strong data engineering focus to help design, build, and operate the ingestion layer of the platform. This role is centered on developing reliable, scalable, Python-based data pipelines that load data into Snowflake through APIs, database replication, and web automation/scraping, with a strong emphasis on data quality, observability, and long-term maintainability.

• Design, build, and own Python-based data ingestion pipelines into Snowflake using orchestration tools such as Airflow, Dagster, or Prefect
• Ingest data from APIs, databases (replication/CDC), and Selenium-based web scraping and automation
• Act as the ingestion subject‑matter expert, owning pipeline reliability, performance, and edge‑case handling
• Implement data quality checks, monitoring, and alerting to ensure trusted, reliable data
• Develop internal data applications using Snowflake Streamlit
• Partner with analytics, BI, and business stakeholders to support evolving data needs
• Contribute to dbt models as needed and help enforce data engineering best practices
• Create and maintain clear, well‑structured technical documentation
• Monitor cloud infrastructure and Snowflake usage, contributing to cost management and optimization

• Bachelor’s degree in Computer Science, Engineering, or a related discipline
• Proven experience building Python-based data pipelines using Airflow, Dagster, or Prefect
• Hands‑on experience ingesting data via APIs, database replication/CDC, and web scraping or automation
• Strong SQL skills and experience working with Snowflake or comparable cloud data warehouses
• Familiarity with containerization and deployment workflows (Docker, Kubernetes, CI/CD)
• Solid understanding of data modeling, ELT/ETL patterns, and modern data engineering practices
• Strong communication skills and the ability to manage multiple initiatives concurrently