LexisNexis Risk Solutions FL, Inc.

LexisNexis Risk Solutions FL, Inc.

Sr. Data Engineer

North Carolina · Senior

Sponsorship not specified$95k-$159kDetected 12 hours ago
SQLVector DatabasesAzureCloud PlatformsCI/CDDevOpsMachine LearningPyTorchData EngineeringData ScienceLLMsRAGMLOpsStatisticsLeadershipCommunicationCollaboration

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 23 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 100%

Of 16 labor certifications old enough to have been used, 0 expired without the employer filing the next step. Median time from filing to decision: 498 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • The position may also provide sizing or budget recommendations to management.
  • Define and measure success through business impact, solution quality, and user adoption.
  • Ensure data quality, platform reliability, operational excellence, and efficient use of cloud and technology resources while promoting modern engineering practices and automation.

Responsibilities

  • Partner with cross-functional stakeholders to deliver analytics and technology solutions that support business goals.
  • Prioritize the team roadmap, drive data-informed decision-making, communicate progress and recommendations to leadership, and ensure compliance with security, governance, and regulatory standards.
  • Business & Product Leadership; Partner with cross-functional stakeholders to deliver analytics and technology solutions that support business goals.
  • People Leadership & Execution: Recruit, mentor, and develop technical teams across analytics and data disciplines.
  • Manage resources, budgets, priorities, and delivery risks while fostering accountability, collaboration, continuous improvement, and high-quality execution.
  • Provide technical leadership, support strategic planning, and serve as a subject-matter expert within the organization.
  • Ability to identify high-value AI use cases and deliver measurable business outcomes.
  • Proven ability to manage multiple initiatives and competing priorities in a changing environment.
  • Strong communication skills and the ability to collaborate with technical teams, business stakeholders, and senior leadership.

Requirements

  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related field, or equivalent practical experience.
  • Significant professional experience in one or more of: data engineering
  • Experience leading technical teams and managing people, capacity, and delivery while remaining hands-on technically.
  • Strong proficiency in SQL and at least one programming language, such as Python.
  • Experience designing and operating production-grade data, analytics, ML, or cloud-platform solutions.
  • Hands-on experience deploying AI solutions in production, including generative AI and LLM applications using patterns such as RAG, embeddings, vector databases, fine-tuning, and agentic workflows.
  • Experience with AI/ML frameworks and platforms (e.g., PyTorch, Hugging Face, LangChain, Amazon Bedrock, Azure OpenAI, Vertex AI).
  • Experience evaluating and monitoring AI systems for performance, quality, drift, latency, and cost, guided by responsible AI practices.
  • Working knowledge of cloud platforms, data warehouses or lakehouses, orchestration, CI/CD, and monitoring tools.
  • Strong understanding of data quality, governance, security, scalability, and reliability.

Compensation

  • $95,300 - $158,800.
  • Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.

Benefits

  • We are delighted to offer country specific benefits.

Company info

  • About the Business
  • LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world.
  • As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

Equal opportunity

  • EEO Know Your Rights.

Visa & Work Authorization

  • are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientat
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This listing is sourced directly from LexisNexis Risk Solutions FL, Inc.'s careers page and normalized into a canonical job model.