Data Engineer / Data Analyst / Data Architect / Data Scientist / AI/ML Engineer

Data Engineer / Data Analyst / Data Architect / Data Scientist / AIML Engineer

Day 1 onsite Sunnyvale, CA / Austin, TX (Client prefer local folks first)

Long term contract

Hybrid - 3 days onsite / week (Every Tuesday, Wednesday and Thursday is onsite, and Monday, Friday is remote)

Direct client opportunity

No mid layer / No Implementation partners are Involved

Mode of Interview: Mostly 1 round virtual

Most Important:

Client is looking for any Data Candidate whether they are Data Engineer or Data Analyst or Data Architect / Data Scientist / AI/ML Engineer, they mainly looking for candidate with recent AI/ML exp and someone who worked with Data scientist team.

Job details:

• 10+ years of experience delivering data engineering, analytics, and business intelligence solutions in legal, corporate, and highly regulated environments.
• Expertise in Legal Matter Management systems, eBilling platforms, legal spend analysis, matter lifecycle management, invoice validation, accrual reporting, request management, and legal operations analytics.
• Design and develop scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data architectures to support enterprise reporting and AI initiatives.
• Advanced SQL and Python skills for data extraction, transformation, automation, optimization, analytics, and machine learning applications.
• Extensive experience with SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, and Azure-based data platforms.
• Build semantic layer and executive dashboards, KPI scorecards, and operational reporting solutions using Business Objects, Tableau.
• Implement data governance, master data management (MDM), metadata management, and data quality frameworks to ensure compliance and data integrity.
• Support legal, finance, procurement, and executive stakeholders with actionable insights that drive strategic decision-making and operational efficiency.
• Leverage AI-powered tools and generative AI technologies to automate workflows, enhance analytics, improve documentation, and increase productivity.
• Lead data cleansing, reconciliation, validation, and root-cause analysis initiatives to improve reporting accuracy and business confidence.
• Ensure adherence to information security, privacy regulations, and governance standards for sensitive legal and corporate data.
• Collaborate with cross-functional teams using Agile and modern data engineering practices to deliver scalable, business-focused solutions.
• Drive process improvement, automation, cloud migration, and enterprise data transformation initiatives that reduce manual effort and accelerate analytics capabilities.
• Develop AI-ready datasets by ensuring data completeness, consistency, accuracy, timeliness, and governance compliance across enterprise data ecosystems.
• Experience with legal technology platforms including TeamConnect, Litify, Onit, and other Legal Matter Management and eBilling solutions.
• Expert in data modeling and architecture best practices, designing scalable conceptual, logical, and physical data models, dimensional schemas, and governed data structures that enable high-performance analytics, business intelligence, and AI-ready data platforms.

Pay Range: $70/hr - $75/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.