Data Engineer

Industry: Legaltech

Remote

Company size: 11-50

Full-time

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Job description

An AI-based company offering analytics of judges, law firms, lawyers, and litigants’ behavior, is looking for a Data Engineer. The engineer will be responsible for designing and building performant databases, data models, integrations, and complex ETL pipelines in RDBMS, GraphQL, and NoSQL environments. The company is empowering attorneys to develop customized litigation or business development strategies by leveraging AI-powered analytics. The company has raised $5.7mn in funding so far. This is an exciting opportunity as the selected candidate will join a team of experts in developing unique innovative solutions.

Job Responsibilities:

Help provide durable, quality and scalable processes and level-up the application
Build large scale fault-tolerant data collection and processing pipelines (ETL)
Design and build performant databases, data models, integrations and complex ETL pipelines in RDBMS, GraphQL, and NoSQL environments
Leverage modern ML technologies for various types of data identification, normalization, and reconstruction of partial and natural language phrasing
Contributing to data architecture strategy as it relates to achieving immediate and long-term company business goals
Leverage your software development and data engineering skills to impact the business
Take ownership of key projects requiring coding and data pipelines
Be an active participant and advocate of agile/scrum practices to ensure health and process improvements
Maintain detailed documentation of your work and changes to support data quality and governance
Build and scale data pipelines for constantly increasing data volumes (10x)

Job Requirements:

Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
3+ years of experience designing and delivering large scale, 24/7, mission-critical data pipelines and features using modern big data architectures
5+ years of experience operating in data engineering environment at a large scale
Must have a solid knowledge of Python, Big Data, and AWS
Proven experience in designing, operating, and improving complex ETL (extraction, transformation, and loading) pipelines
Solid understanding of distributed system concepts used in scaling big data technologies with exponential growth of data
Prior experience with all aspects of the data integration life cycle (source system analysis, ETL development and data model/structure design)
Ability to thrive in an agile, entrepreneurial start-up environment
Comfortable working an a Unix (Linux or mac) environment
Nice to have advanced knowledge of data acquisition technologies such as web crawling, PDF data extraction, and Computer Vision
Hands-on experience with ElasticSearch, Neo4j, PostgreSQL is a plus

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What is Turing?

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

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After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

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Manage and supervise a team of Business Analysts, including 5+ Team Leads.
Identify training needs, conduct sessions, and ensure high-quality training datasets.
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Serve as the main contact for stakeholders and provide updates to senior management.

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Proven leadership experience managing teams of 20+ members for at least 5 years.
Strong analytical and communication skills, with proficiency in English.
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Ability to incorporate feedback from LLM performance metrics into training data and processes.
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