Manager Data Engineering jobs in United States
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LexisNexis · 19 hours ago

Manager Data Engineering

LexisNexis Legal & Professional is a global provider of information-based analytics and decision tools serving customers worldwide. The Manager of Data Engineering will lead a team to oversee data quality and integrity, ensuring the successful delivery of data components for legal research tools and AI-driven solutions.

AccountingLegalRisk ManagementSoftware
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H1B Sponsor Likelynote

Responsibilities

Team Leadership: Successfully partner and lead teams of resources (including offshore) in solving complex business needs. Carry out management responsibilities including interviewing, hiring, training, appraising performance, and rewarding/disciplining employees
Technical Execution: Write advanced complex code for computer systems and serve as a senior source of expertise. Lead the development of technical standards and perform reviews to ensure enterprise and architectural standards and processes are followed
Product & Business Support: Interact with Product Management, Engineering, and Operations teams to plan delivery of products and enhancements and to assure products meet requirements and quality standards. Provide design input across a product
Communication: Serve as the primary technical point of contact for external technology resources. Communicate and present data issues and analysis to a wide audience, including senior management and customers
Continuous Improvement: Manage continuous improvement initiatives and implementation of best practices. Identify opportunities for automation or other utilities. Exhibits innovative approaches to process improvement
Project Management: Conduct project reviews, ensuring review criteria are defined, and implement procedures for ensuring quality control of project deliverables. Maintain flexibility to react quickly to changes in priorities or circumstances to meet the needs of the business

Qualification

Data EngineeringData ManagementDatabase TechnologySQL QueriesData ModelingAutomation ScriptsProblem SolvingLeadershipJupyterDatabricksSEC ExperienceCommunication

Required

10+ years of experience in Data and Scoring Engineering, data management, and data strategy, with a strong technical background and demonstrated expertise in quality control processes and practices
2+ years' management experience
Bachelor's Degree (Engineering/Computer Science preferred but not required); or equivalent experience required. Advanced degree preferred
Advanced understanding of data engineering methodologies, processes, and process improvement
Leads the development and execution of performance and automation scripts for large-scale projects, with a proven ability to develop and execute complex automated and performance scripts
Knowledge in normalized/dimensional data modeling principles and their application to complex business needs. Expert knowledge of multiple data storage subsystems and large complex systems
Strong proficiency in database technology, design and manipulation, optimization, and best practices. Strong proficiency with data manipulation language including optimization techniques. Strong proficiency in writing complex SQL queries (preferably MySQL) to retrieve data from multiple tables
Strong research and problem-solving skills (tools/root cause analysis). Advanced problem-solving experience involving leading teams in identifying, researching, and coordinating resources to troubleshoot/diagnose complex project issues
Ability to lead small to medium-sized team(s) and balance deployment of resources within the group as necessary to support priorities. Proven expert in partnering and leading internal and external technology resources in solving complex business needs
Experience working with any large language model (LLM), preferably through API integration, to build, deploy, or enhance data-driven solutions. Demonstrated ability to leverage LLMs for developing automation scripts, optimizing workflows, or solving complex business needs
Demonstrated expertise in crafting clear, targeted prompts to elicit precise responses from AI models and optimize automation or data-driven workflows
Experience in using Jupyter or Databricks
Experience related to Security Exchange Commission

Benefits

Flexible remote-first work environment, with the option to work from our New York office.
Comprehensive health coverage, including medical, dental, and vision plans.
Retirement plan with inclusive risk benefits (disability, critical illness, life cover, and funeral cover).
Modern family benefits, including adoption, surrogacy, and parental leave.
Paid study leave and professional development support.
Well-being initiatives and opportunities for sabbaticals and personal growth.
A culture that values work/life balance, clear communication, and continuous learning.

Company

LexisNexis

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LexisNexis is a data analytics company that provides information solutions and law legal databases to Law and corporate businesses.

H1B Sponsorship

LexisNexis has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (9)
2023 (108)
2022 (138)
2021 (87)
2020 (64)

Funding

Current Stage
Late Stage
Total Funding
$30M
Key Investors
EquivoActua Corporation
2021-06-16Corporate Round
2000-03-22Series Unknown· $30M
1994-10-05Acquired

Leadership Team

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Eric Bonnet-Maes
CEO - LexisNexis Continental Europe, Middle East and Africa
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Sean Fitzpatrick
CEO LexisNexis North America, UK & Ireland
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Company data provided by crunchbase