Senior Data Engineer II

About the Role

We are looking for a Senior Data Engineer to join our Data Engineering team at LexisNexis. This role is ideal for a highly skilled data engineer who enjoys working across cloud platforms, building scalable data pipelines, supporting production systems, and designing analytics solutions used across engineering and product teams.

You will play a key role in Databricks development, Redshift administration, engineering analytics, and behavior analytics ingestion. You will also provide operational support for critical data pipelines and partner with cross-functional teams to ensure high availability, data quality, and platform reliability.

What You'll Do

Databricks & Cloud Engineering

• Develop, optimize, and maintain large-scale data pipelines using Databricks, Spark, and Delta Lake.

• Implement scalable ETL/ELT patterns for structured, semi-structured data.

• Optimize performance, costs, and reliability of Databricks jobs and clusters.

Redshift Engineering & Administration

• Perform Redshift administration tasks including cluster management, and database administration.

• Build and optimize Redshift models, tables, and complex SQL queries to support analytics and reporting.

• Monitor and improve Redshift performance, storage efficiency, and query optimization.

Engineering Analytics & Telemetry Pipelines

• Develop and maintain data pipelines powering engineering analytics dashboards and metrics.

• Work with stakeholders to define and compute engineering KPIs (deploy frequency, MTTR, quality metrics, etc.).

• Own ingestion and processing pipelines for behavior analytics and product telemetry, including:

Matomo - event and tracking data ingestion

FullStory - behavioral analytics & session replay data

Pendo - product usage, feature analytics, and event telemetry

Production Support & Reliability

• Provide L2/L3 support for existing data pipelines, ensuring high availability and rapid incident resolution.

• Lead root-cause analysis (RCA) and implement preventive measures for recurring issues.

• Implement monitoring, logging, alerting, and observability best practices across data systems.

• Work closely with platform teams to ensure compliance with LexisNexis operational standards.

Cross-Functional Collaboration

• Partner with the Data Engineering Lead, Product Management, Analytics, Architecture, and Engineering teams to deliver data solutions that meet evolving business needs.

• Translate technical problems into actionable design documents, code, and operational processes.

• Support downstream consumers with data availability, quality, and documentation.

Technical Skills Required

• Strong hands-on experience with Databricks, Spark, Delta Lake.

• Advanced proficiency in SQL, including performance tuning and optimization at scale.

• Experience with AWS, especially S3, Lambda, IAM, Redshift, Glue, and Step Functions.

• Strong experience in Redshift administration (performance tuning, distribution/sort keys, cluster optimization).

• Solid Python programming skills for ETL/ELT pipelines, automation, and data engineering tasks.

• Experience working with telemetry, clickstream, or behavioral analytics data.

• Familiarity with Matomo, FullStory, and/or Pendo data processing.

• Experience in production support environments (incident management, RCA, monitoring).

• Understanding of data quality, lineage, cataloging, and governance frameworks.

Good to Have

• Experience with Kafka, Kinesis, or event streaming.

• Familiarity with CI/CD pipelines, DevOps practices, and automated testing frameworks.

• Exposure to engineering analytics (e.g., DORA metrics, developer productivity insights).

• Experience with AWS EMR for distributed data processing workloads.

Education Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field required.

Why Join LexisNexis?

You will work on impactful data systems that support mission-critical engineering and product insights. You'll be part of a global organization that values innovation, collaboration, and continuous improvement-while enjoying opportunities to grow technically and professionally.

U.S. National Base Pay Range: $93,400 - $155,700. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Ohio, the pay range is $88,700 - $147,900.

This job is eligible for an annual incentive bonus.

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week:

? Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ? Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ? Wellbeing: 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 ? In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.