What are the responsibilities and job description for the Data Engineering Lead position at HirexHire Career Center?
ABOUT US
HirexHire (pronounced hire by hire) is a Chicago-based recruiting and talent consultancy that integrates with companies short-term to provide long-term talent solutions. We take a seat in our client’s everyday operations to understand their people goals, gaps, and challenges. We then develop and implement the processes and technologies to execute a sustainable and scalable talent plan.
We partner with companies expecting or experiencing high growth which need to hire at scale or fill a critical role rapidly. Our clients are not looking for quick-fix placements but are thoughtfully building a hiring strategy to scale their businesses.
OUR CLIENT
Headquarters: Chicago, IL
Industry: B2B SaaS
Company Size: 1000
What They Do: Our client is a PE-backed SaaS company at the forefront of legal technology. They offer a connected ecosystem of solutions to drive innovation across many aspects of a firm.
THE ROLE
We are searching for a new role - a Data Engineering Lead - to join our client's team in the company's downtown Denver office. In this newly created position, you will join a small, growing team to lead the architecture, build, and future iterations and improvements on an internal analytics data platform that supports key functional areas and business partners in a private-equity backed, global SaaS environment. This role will work deeply on constructing high‑quality data pipelines, a trusted Snowflake data warehouse, and well‑modeled datasets to drive performance and decision-making throughout the organization.
This role is hybrid to the Denver, CO area.
WHAT YOU WILL DO
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Design, build, and maintain data pipelines and ELT workflows for ingesting, transforming, and integrating data from diverse sources.
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Take ownership of a Snowflake-based data warehouse incorporating dbt best practices.
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Write and iterate on complex SQL for large datasets while maintaining strong performance and accuracy.
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Ensure data quality, governance, and compliance with legal and ethical standards.
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Build and integrate with APIs and services to expose integrated data to downstream applications and analytics platforms.
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Monitor and troubleshoot data pipelines to ensure performance, scalability, and reliability.
WHAT YOU WILL NEED
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Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
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5 years of experience building and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses.
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3 years of experience using dbt to build data warehouse solutions.
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Strong knowledge and experience in SQL, Python, and data modeling.
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Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure Data Factory.
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Experience with Snowflake, Rivery, dbt preferred
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Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases.
- Supportive Company Culture
- Global, Dynamic, and Diverse Team
- Comprehensive Benefits Package (health insurance, retirement savings, generous PTO, and work-life balance)
- Career Growth and Development