An international law firm spanning across the US/Europe/Asia is looking for a Data Engineer to join their Data Science & AI team. This role will primarily focus on their knowledge graph ecosystem. The firm is in the Top 50 largest law firms in the world; they focus on corporate, litigation, intellectual property, fund formation, public markets, employment, life sciences (#1 law firm for tech and life sciences IPOs), clean technology, real estate, financial services, retail, regulatory and energy practices. The firm received the following awards form Fortune Magazine: Best Companies to Work For, Best Workplaces for Women, Best Workplaces for Flexibility, Best Workplaces for Giving Back, and Best Workplaces for Parents.
The client has over 300 databases they want to use a graph database to stitch the all together and be able to load Workday, Salesforce etc into this ecosystem. They will initially use AWS Neptune but will most likely switch to Tigergraph or Neo4j.
Compensation:
$50/hr to $65/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
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Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.