Data Engineer III

LexisNexis • Raleigh, NC

1d • Hybrid

About The Position

We are looking for a Data Engineer III to join our Data Engineering team at LexisNexis. This role is ideal for a highly skilled and experienced data engineer who can independently design and deliver scalable data platforms, optimize cloud-based analytics systems, and support mission-critical production pipelines. In this role, you will provide technical leadership across Databricks development, Redshift administration, engineering analytics, and behavior analytics ingestion. You will play a key role in shaping data architecture, improving platform reliability, and driving best practices for performance, observability, and operational excellence. You will also partner closely with cross-functional teams to deliver data solutions that support engineering, product, and analytics use cases at scale.

Requirements

• Strong hands-on experience with Databricks, Spark, and Delta Lake.
• Advanced proficiency in SQL, including performance tuning and optimization at scale.
• Strong experience with AWS, especially S3, Lambda, IAM, Redshift, Glue, and Step Functions.
• Strong experience in Redshift administration, including performance tuning, distribution and sort key strategy, workload management, and cluster optimization.
• Solid Python programming skills for ETL/ELT pipelines, automation, and data engineering solutions.
• Experience working with telemetry, clickstream, or behavioral analytics data.
• Familiarity with Matomo, FullStory, and/or Pendo data processing.
• Experience supporting production data environments, including incident management, RCA, and monitoring.
• Strong understanding of data quality, lineage, governance, and cataloging frameworks.
• Ability to independently drive technical solutions and influence design decisions across teams.
• Experience with Kafka, Kinesis, or other event streaming technologies.
• Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks.
• Exposure to engineering analytics, including DORA metrics and developer productivity insights.
• Experience with AWS EMR for distributed data processing workloads.
• Experience mentoring engineers and contributing to technical leadership within a team.

Responsibilities

• Design, develop, optimize, and maintain large-scale data pipelines using Databricks, Spark, and Delta Lake.
• Define and implement scalable ETL/ELT patterns for structured and semi-structured data across multiple sources and domains.
• Improve performance, cost efficiency, reliability, and maintainability of Databricks jobs, workflows, and clusters.
• Contribute to data architecture decisions and establish engineering best practices for cloud-based data processing.
• Perform Redshift administration activities including cluster management, database administration, workload tuning, and operational support.
• Build, optimize, and maintain Redshift schemas, tables, and complex SQL transformations to support analytics and reporting needs.
• Design, develop, and maintain data pipelines powering engineering analytics dashboards, metrics, and reporting solutions.
• Partner with stakeholders to define, compute, and evolve engineering KPIs such as deployment frequency, MTTR, reliability, and quality metrics.
• Own ingestion and processing pipelines for behavior analytics and product telemetry, including: Matomo – event and tracking data ingestion; FullStory – behavioral analytics and session replay data; Pendo – product usage, feature analytics, and event telemetry
• Ensure data quality, completeness, and usability for downstream analytics consumers.
• Provide L2/L3 support for critical data pipelines and platform components, ensuring high availability and timely incident resolution.
• Lead root cause analysis efforts and implement corrective and preventive actions for recurring issues.
• Establish and improve monitoring, alerting, logging, and observability standards across data systems.
• Partner with platform and infrastructure teams to ensure compliance with LexisNexis operational and security standards.

Benefits

• Shared parental leave
• Study assistance
• Sabbaticals
• Working flexible hours
• Comprehensive, multi-carrier program for medical, dental and vision benefits
• 401(k) with match
• Employee Share Purchase Plan
• Wellness platform with incentives
• Headspace app subscription
• Employee Assistance and Time-off Programs
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
• Family benefits, including bonding and family care leaves, adoption and surrogacy benefits
• Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed