Horsham, PA

Data Jobs in Horsham, PA

2 jobs found

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2mo ago

Data Engineer III***Hybrid

LexisNexis Horsham, PA

Horsham, PA

2mo ago Closed

$72k - $119k/yr Full time Azure Azure Data Factory Azure Synapse Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Data Engineer III (Hybrid) at LexisNexis focuses on designing and maintaining data pipelines and engineering solutions using Python, Spark, SQL, and Azure technologies in a hybrid work setting near Horsham, PA.

Responsibilities

Collaborate with technical teammates to document, interpret, and finalize requirements.
Develop clean, efficient, repeatable code that adheres to best practices such as naming conventions and encapsulation.
Contribute to and review detailed specifications for data component development.
Address data engineering bugs, researching root causes as needed.
Identify opportunities to apply automation or tooling to improve effectiveness or efficiency.
Collaborate with other developers to translate product requirements into data engineering and data management designs.
Innovate process improvements that enable efficient delivery and maintenance.
Participate in development processes, coding best practices, and code reviews.
Oversee database management to ensure structure and data flow align with departmental standards.
Utilize various data workflow management and analysis tools.
Maintain in-depth knowledge of a specific data content area.
Contribute to process improvements and ensure compliant, timely delivery of high quality services, with flexibility to adapt to changing priorities.
Resolve simple data engineering bugs and technical issues as necessary.
Work closely with other engineers to understand data requirements and translate them into designs.
Operate in diverse development environments, including Agile, while collaborating with key stakeholders.
Stay informed about new technology developments.
Perform other duties as assigned.

Requirements

Bachelor’s Degree; Engineering or Computer Science preferred but not required, or equivalent experience.
Hands-on experience in Azure Synapse Analytics, Azure Databricks, or Hadoop environments.
Minimum 3 years of strong experience developing Python-based Spark code for large-scale data processing.
Solid understanding of Big Data concepts, distributed computing, and data lake based medallion architecture.
Strong communication and collaboration skills to work with cross-functional teams.
Strong proficiency in Python for data engineering, ETL, and automation tasks.
Good working knowledge of Azure services, including Azure Data Factory or Synapse Pipelines, Azure Data Lake Storage, and Azure Key Vault/Secrets Management.
Strong experience with writing SQL.
Experience working in both Linux and Windows environments for development and deployment.
Solid working knowledge of GIT with 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 data pipelines in production.
Exposure to Data Warehouses like AWS Redshift, Azure Dedicated SQL Pool, Netezza, etc.
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 software development methodologies such as Agile.
Good documentation skills.
Attention to detail and strong oral and written communication skills.

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

Benefits

Health Benefits
401(k) with match and Employee Share Purchase Plan
Wellbeing initiatives
Disability, Life and Insurance
Family Benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
Paid leave for Employee Resource Groups and volunteering

Conditions of Employment

You must be a U.S. citizen to apply for this position.
You must successfully pass a background investigation and achieve Public Trust security clearance.
Must be located near the Horsham, PA location for a Hybrid onsite schedule.

Work In A Way That Works For You

LexisNexis promotes a healthy work life balance with wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to support both immediate responsibilities and long term goals.

Flexible hours allow you to adjust when you work in the day to fit personal productivity peaks and obligations.

Working For You

Health Benefits: Comprehensive medical, dental, and vision coverage
Retirement Benefits: 401(k) with match and Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace subscription, Employee Assistance, and time-off programs
Disability, Life and Insurance: Short and long term disability, life and accidental death coverage, plus critical illness and hospital indemnity
Family Benefits: Bonding and family care leaves, adoption and surrogacy benefits
Financial Benefits: Health savings accounts, dependent care, and commuter spending accounts
Volunteer Leave: Up to two days per year for ERG participation and volunteering

About The Business

LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase productivity, improve decision-making, and advance the rule of law worldwide. As a digital pioneer, LexisNexis was among the first to bring legal and business information online with Lexis and Nexis services.

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2mo ago

Principal Data Engineer – Safety Analytics (Global Medical Safety)

Johnson & Johnson Horsham, PA

Horsham, PA

2mo ago Closed

$102k - $177k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Jun 7, 2026).

Job Description

A Principal Data Engineer leads safety analytics data engineering for Global Medical Safety, building scalable tools with AI, ML, and GenAI on Google Cloud Platform to support pharmacovigilance efforts.

Responsibilities

Design and maintain production data pipelines and curated datasets that enable pharmacovigilance activities, including safety monitoring, analytics, and regulatory reporting.

]Ensure outputs are reproducible, explainable, and auditable to support safety decision making and inspection readiness.

Enable AI, ML, and GenAI workflows for safety analytics, covering feature engineering and feature stores, embeddings and semantic retrieval, and Retrieval-Augmented Generation patterns.

Own the end-to-end data lifecycle for safety analytics from source system intake through transformation, serving, and downstream consumption, ensuring continuity, traceability, and data integrity.

Lead architectural decisions across ingestion, transformation, storage, and serving layers on GCP using tools like BigQuery, Dataform, and object storage.

Design, implement, and automate scalable, reusable data pipelines and architectures to address evolving safety analytics needs.

Establish and enforce data quality, validation, lineage, and observability standards for safety analytics datasets.

Define and implement data governance practices, including data contracts, schema versioning, access control, stewardship, and lifecycle management.

Ensure safety analytics data and systems meet Global Medical Safety requirements for reliability, auditability, and regulatory use.

Apply GxP validation expertise to data pipelines, analytics services, and supporting infrastructure.

Collaborate with quality and compliance teams to implement CSV/CSA-aligned controls, audit trails, documentation, and organizational change.

Balance rapid delivery with the rigor required for regulated pharmacovigilance systems.

Design and build APIs and microservices to operationalize safety analytics and ML capabilities, including feature serving, retrieval services, and analytics backends.

Deploy and operate services on GCP with emphasis on security, scalability, and observability (Cloud Run, GKE).

Enforce contract-first integration patterns between producing and consuming systems to ensure reliability and safe evolution.

Provision and manage cloud infrastructure using Terraform (Infrastructure as Code) on GCP.

Build and maintain CI/CD pipelines for data pipelines, analytics services, feature pipelines, and ML data assets (e.g., Jenkins).

Continuously optimize performance and cost efficiency of data and analytics infrastructure while maintaining compliance and reliability.

Serve as the technical authority and data engineering leader for Safety Analytics within Global Medical Safety.

Review and influence designs across pipelines, services, feature stores, and AI/ML integrations to uphold a high technical standard; collaborate with safety scientists, epidemiologists, biostatisticians, analytics teams, IT, and platform partners.

Communicate complex technical concepts and tradeoffs clearly to both technical and non-technical stakeholders.

Mentor and upskill teams through guidance and knowledge sharing on modern data, cloud, and AI technologies.

Requirements

Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience, is required.
Minimum of 5 years of data engineering experience.

Technologies

Python
SQL
Google Cloud Platform (GCP)
BigQuery
Dataform
Terraform
Jenkins
Cloud Run
GKE

Compensation

Base annual pay range: USD 102,000 – 177,100

Location and work arrangement

Location: Horsham, PA, onsite. Preferred location: Horsham, PA or Titusville, NJ. Remote work considered on a case by case basis.

Benefits

Consolidated retirement plan (pension)
Savings plan (401(k))
Vacation: 120 hours per calendar year
Sick time: 40 hours per calendar year; 48 hours (Colorado residents); 56 hours (Washington residents)
Holiday pay, including floating holidays: 13 days per calendar year
Work, personal and family time: up to 40 hours per calendar year
Parental leave: 480 hours within one year of birth/adoption/foster care
Bereavement leave: 240 hours for immediate family; 40 hours for extended family per year
Caregiver leave: 80 hours in a 52-week rolling period
Volunteer leave: 32 hours per calendar year
Military spouse time-off: 80 hours per calendar year

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Data Jobs in Horsham, PA

Data Engineer III***Hybrid

Principal Data Engineer – Safety Analytics (Global Medical Safety)

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