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Integration manager • arvada co
Data Integration Engineer
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Job Description
Job Description
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.
WHAT OUR CLIENT OFFERS YOU
- 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