LexisNexis offers a hybrid Data Engineer III role in Horsham, Pennsylvania. The position centers on designing and maintaining data pipelines and engineering solutions using Python, Spark, SQL, and Azure-based technologies, with a competitive annual salary range of USD 71,600 to 119,400. This opportunity supports collaboration across teams and ongoing technical growth in a data-driven business context.
Benefits
- Comprehensive health, dental, and vision coverage through multiple carriers
- 401(k) with company match plus an Employee Stock Purchase Plan
- Wellbeing programs and resources, including mental health support
- Disability and life insurance, plus additional coverage such as critical illness
- Family benefits including bonding and care leaves, plus adoption and surrogacy support
- Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts
- Paid leave to participate in Employee Resource Groups and to volunteer
Work in a Way That Works For You
We support a healthy work–life balance with flexible hours designed to fit your schedule, backed by wellbeing initiatives and opportunities for study assistance and sabbaticals. Flexible scheduling helps you work when you are most productive while staying aligned with business priorities.
Working For You
- Health Benefits: Medical, dental, and vision coverage through a multi-carrier program
- Retirement Benefits: 401(k) with match and an Employee Stock Purchase Plan
- Wellbeing: Wellness platform with incentives, a Headspace app subscription, Employee Assistance, and time-off programs
- Disability, Life and Insurance: Short and long term disability, life and related coverage
- Family Benefits: Bonding and family care leaves, adoption and surrogacy benefits
- Financial & Spending Accounts: Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts
- Volunteer Leave: Up to two days per year for ERG participation and charitable volunteering
Conditions of Employment
- You must be a U.S. citizen to apply
- You must successfully pass a background investigation and obtain Public Trust security clearance
- Location requirement: proximity to the Horsham, PA site for a hybrid onsite schedule
Responsibilities
- Collaborate with technical peers to document and finalize data requirements
- Develop efficient, reusable code that follows best practices such as naming conventions and encapsulation
- Draft and review specifications for data components
- Investigate and fix data engineering issues, identifying root causes
- Identify opportunities to automate processes or use tools to improve effectiveness
- Translate product requirements into data engineering and data management designs with the team
- Drive process improvements to enable efficient delivery and maintenance
- Contribute to development processes, coding standards, and code reviews
- Oversee database management to ensure structure and data flow align with standards
- Utilize data workflow management and analysis tools
- Maintain deep knowledge in a specific data content area
- Support process improvements and compliance to deliver high-quality services on time and to specification, adapting to priority changes
- Resolve simple data engineering bugs and issues as needed
- Collaborate with teammates to understand data and translate requirements
- Operate in multiple development environments (such as Agile) with key stakeholders
- Stay current with new technology developments
- Perform other duties as assigned
Requirements
- Bachelor’s degree required; Engineering or Computer Science preferred but not mandatory, or equivalent experience
- Hands-on experience with Azure Synapse Analytics, Azure Databricks, or Hadoop environments
- Minimum of 3 years developing Python-based Spark code for large-scale data processing
- Solid understanding of Big Data concepts, distributed computing, and data lake medallion architecture
- Strong communication and collaboration skills to work with cross-functional teams
- Proficiency in Python for data engineering, ETL, and automation tasks
- Working knowledge of Azure services including Data Factory or Synapse Pipelines, Data Lake Storage, and Key Vault/Secrets Management
- Strong SQL writing abilities
- Experience on both Linux and Windows for development and deployment
- Solid knowledge of Git and Azure DevOps (Repos, Pipelines)
- Experience deploying code to higher environments using CI/CD pipelines and DevOps practices in Azure
- Ability to troubleshoot, optimize, and monitor production data pipelines
- Exposure to data warehouses such as AWS Redshift, Azure Dedicated SQL Pool, and Netezza
- Familiarity with data security, governance, and compliance in cloud environments
- Exposure to monitoring and logging frameworks for data workloads
- Exposure to Microsoft Fabric
- Knowledge of industry best practices such as code coverage
- Knowledge of Agile software development methodologies
- Strong documentation skills, attention to detail, and effective written and verbal communication
Technologies
- Azure Synapse Analytics
- Azure Databricks
- Hadoop
- Python
- Apache Spark
- SQL
- Azure Data Factory
- Synapse Pipelines
- Azure Data Lake Storage
- Azure Key Vault
- Linux
- Windows
- Git
- Azure DevOps
- CI/CD
- AWS Redshift
- Azure Dedicated SQL Pool
- Netezza
- Microsoft Fabric
About the Business
LexisNexis Legal and Professional provides legal, regulatory, and business information and analytics to help customers improve productivity, decision making, outcomes, and the rule of law worldwide. As a digital pioneer, the company helped popularize online access to legal and business information through its Lexis and Nexis services.
