Data Integration Engineer

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: Legal/AI SaaS
Company Size: 1000
What They Do: Our client is a PE-backed SaaS company at the forefront of legal technology, specializing in productivity and risk management software for small to large law firms and their employees globally. They offer a connected ecosystem of solutions to drive innovation across many aspects of a firm.

THE ROLE

We are seeking a dedicated Data Integration Engineer to join our client's team in their new Denver office. In this role, you will join a passionate team that is driving innovation in the legal technology space. You will have the opportunity to work with cutting-edge tools and transform legal data, making a difference for legal professionals everywhere.

This role is hybrid to the Denver, CO area.

WHAT YOU WILL DO

• Design and implement data pipelines for ingesting, transforming, and integrating legal data from diverse sources (e.g., case law databases, contract repositories, legal management systems).

• Collaborate with AI/ML teams to prepare and optimize datasets for training and deploying Gen AI models.

• Develop and maintain ETL/ELT workflows using modern data engineering tools and cloud platforms.

• Ensure data quality, governance, and compliance with legal and ethical standards.

• Build and integrate with APIs and services to expose integrated data to downstream applications and analytics platforms.

• Work with legal domain experts to map and model data for semantic understanding and contextual relevance.

• Monitor and troubleshoot data pipelines to ensure performance, scalability, and reliability.

WHAT YOU WILL NEED

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

• 5 years of experience in data integration or data engineering, preferably in legal tech or regulated industries.

• Strong proficiency in SQL, Python, and data modeling.

• Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure Data Factory.

• Experience with Snowflake, Rivery, dbt preferred

• Experience with Azure Data Factory preferred 

• Familiarity with legal data systems such as iManage, NetDocuments, Aderant, or Elite 3E.

• Understanding of Gen AI concepts including LLMs, RAG (Retrieval-Augmented Generation), and vector databases.

NICE TO HAVE

• Experience with data architectures and semantic data modeling.

• Knowledge of MLOps practices and tools like MLflow.

• Exposure to data privacy and anonymization techniques in legal contexts.

• Familiarity with BI tools (e.g., Power BI, Tableau) for legal analytics.

• Strong communication skills and ability to work cross-functionally in a fast-paced environment.

• 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