Legal Data Engineer
Entegrata is a post-revenue startup aimed at solving the legal industry’s data challenges by bringing turnkey, Azure-based, data lakehouses to the market.
We are seeking a highly skilled data engineer to join our team. Our ideal candidate well acquainted with the legal data ecosystem, is a SQL expert and ready to learn the Azure data platform.
This is a fantastic opportunity for a multi-faceted self-starter who wants to help reimagine the way that law firms engage with data. As a Data Engineer with Entegrata, you will hit the ground running to build new data pipelines and analytical solutions for our product.
Responsibilities:
- Create, maintain, and evolve large and complex SQL scripts, transforming data to deliver robust and well-defined metrics. 
- Translate business requirements into technical solutions leveraging strong business acumen. 
- Expose data to end users through platforms such as Power BI, Azure API Apps, or other modern visualization platforms. 
- Design and build modern data pipelines and data streams. 
- Analyze current business practices, processes, and procedures to identify future opportunities for leveraging data in the legal sector. 
- Develop and maintain data warehouse schematics, layouts, architectures, and both relational and non-relational databases for data access and advanced analytics. 
Required Qualifications:
- Minimum 5 years of experience in a law firm or a legal systems integration company. 
- Knowledge of core legal business applications such as Elite 3E, Aderant Expert, iManage, NetDocuments, Intapp, Iridium, BigSquare, Foundation, Interaction, Vuture, HRIS systems, viDesktop, Compulaw, Manzama feeds, etc. 
- Expert level proficiency in SQL and schema design/development. 
- Strong experience in data transformation using ETL/ELT tools. 
- Excellent communication and interpersonal skills, with the ability to work effectively in a remote team environment. 
Preferred Qualifications:
- Knowledge and experience with business intelligence tools such as Power BI. 
- Familiarity with Azure data services including Azure Data Factory, Azure Data Lake Storage, SQL Server DB; experience with Azure HDInsight, Azure Databricks, and Azure Stream Analytics is a plus. 
- Industry experience in master data, metadata, data architecture, data governance, data quality, and data modeling. 
- Proficiency with Python or PySpark. 
- Proficiency in data profiling, cataloging, and mapping for technical design and construction of data flows. 
- Experience with data catalog tools, data ingestion, data cleaning/matching, data streaming, pipeline development, and orchestration tools. 
- Advanced understanding of data architecture, data quality management, and dimensional data modeling. 
Benefits:
- Competitive start-up salary and potential equity package. 
- Flexible work hours and remote work options. 
- 401k, medical, dental, and vision insurance. 
- Paid time off and holidays. 
- Opportunities for professional growth and development. 
If you are a talented legal data engineer and are looking for an exciting new opportunity to apply your legal domain expertise and learn the Azure data stack, please apply today.
 
                        