Top 11 Experian Consumer Direct Jobs

BioTech Data Engineer
Stellar IT Solutions LLC —St. Louis, MO
- $1,500,000 - $1,800,000 a year
- Full-time
- 5 years
- Bachelor of Science
- DevOps
Quick Apply
Credit Bureau Specialist
PenFed Credit Union —Omaha, NE
- $18.56 - $29.36 an hour
- Overtime
- Writing skills
- Research
- Mid-level
- Paid parental leave
- Disability insurance
Commercial Partner Manager, Publishers & Platforms
SAMBA TV —New York, NY
- $160,000 - $180,000 a year
- Full-time
- Spanish
- English
- Mid-level
- Paid holidays
- Disability insurance
Director of Financial Planning and Analysis
Experian —Costa Mesa, CA
- $153,075 - $275,535 a year
- Full-time
- Remote
- Finance
- 8 years
- Bachelor's degree
- Paid holidays
- Health insurance
Quick Apply
Transformation Strategy Senior Manager
PMG —Dallas, TX
- 6 years
- Marketing
- Mentoring
- Commuter assistance
- Paid parental leave
Quick Apply
Senior Software Engineer, Full Stack
Flagship —Coppell, TX
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
Director Publishers and Platforms
SAMBA TV —New York, NY
- $165,000 - $185,000 a year
- Spanish
- English
- Office
- Paid holidays
- Disability insurance
Manager, DevOps
LendingPoint, LLC —Kennesaw, GA
- Hybrid work
- 7 years
- Customer service
- System design
Quick Apply
Lead Software Engineer
PNC Financial Services Group —Farmers Branch, TX
- Full-time
- System design
- Office
- 3 years
- Wellness program
- Health savings account
Senior Loan Officer
F5 Mortgage LLC —Remote
- $125,000 - $225,000 a year
- Remote
- No degree
- Senior level
Quick Apply
Director, Product Management, Data Science (AdTech/Programmatic)
PulsePoint —United States
- $200,000 - $205,000 a year
- Full-time
- Remote
- HIPAA
- Research
- Product management
- Wellness program
- Commuter assistance
Quick Apply
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BioTech Data Engineer

Stellar IT Solutions LLC -
St. Louis, MO

Quick Apply

Job Details

Full-time
$1,500,000 - $1,800,000 a year

Qualifications

AI models
Biotechnology
Systems integration
Databricks
DevOps
Spark
Integration Architecture Design (Architecture design skills)
AI platforms (beyond public GPTs)
SQL
Machine learning cloud services
ETL process automation
Machine intelligence
Bachelor's degree
Machine learning
Azure Data Factory
Pharmaceutical company experience
Integration Platforms (Enterprise solutions)
Integration with Third-Party Services (system development)
DevOps automation
Project stakeholder communication
Python
Design (software development lifecycle)
Stakeholder management

Full Job Description

Job Title: Biotech Data Engineer

Job Type: FTE

Work Mode: Remote

The Biotech Data Engineer focuses on designing, building, and maintaining scalable Azure Databricks-based data pipelines and architectures that enable analytics, AI/ML, and reporting across commercial functions. It involves leading data engineering initiatives, ensuring governance and compliance, optimizing performance and costs, and collaborating across teams to advance the company’s data and AI strategy. The role reports to the Director of Business Intelligence.

Roles & Responsibilities

Design, build, and maintain scalable, reliable, and cost-efficient data pipelines using Azure Databricks in support of analytics, machine learning, data science, and operational use cases Lead data engineering initiatives that enable AI/ML model development, LLM integrations, and AI-driven applications while ensuring scalability and alignment with enterprise and business priorities Architect and implement data integration frameworks across diverse Adtech and Martech ecosystems, incorporating Google Analytics, media campaign data, and third-party marketing APIs like Salesforce Manage and optimize data ingestion, transformation, and storage processes using SQL, Python, and PySpark to integrate structured and unstructured data sources Design and maintain API integrations with internal and external systems, including Python- and PySpark-based services and AI/LLM-powered APIs for advanced analytics and automation Administer and maintain Azure-based data tools and platforms (e.g., Databricks, ADF) to ensure operational excellence, reliability, and security Collaborate with internal stakeholders and external partners to evolve data platform design and architecture that supports advanced analytics, personalization, marketing intelligence, and marketing automation Execute against the company’s data and AI strategy by translating strategic goals into technical architecture, design and requirement documents, and implementation roadmaps Ensure data quality, integrity, and consistency through robust validation, monitoring, and alerting mechanisms within Azure Databricks Implement and enforce data governance, security, and compliance standards in collaboration with IT, InfoSec, and data governance teams Partner with analytics, marketing, commercial operations, and core technology/cybersecurity teams to deliver fit-for-purpose commercial data products Monitor and optimize data infrastructure costs, performance, and scalability across Azure cloud environments Develop and maintain architecture documentation, pipeline specifications, and design diagrams for transparency and knowledge sharing with technical and business stakeholders Participate in architecture discussions, design reviews, and CI/CD workflows to ensure high-quality engineering and deployment practices as part of an Agile engineering team Continuously evaluate and recommend new Azure services, designs, improvements, frameworks, and AI integration tools to enhance our data platform Drive automation, observability, and standardization across data workflows to improve efficiency and reduce manual intervention Complete all job duties in compliance with company policy, SOPs, safety rules, and applicable federal, state, and local regulations Education & Licenses And Experience

Bachelor of science degree required. A minimum of 5 years transferable working experience in the area of operational support of a Data Engineering, Data Architecture, or Cloud Platforms function preferred. The ideal candidate will have recent and relevant experience in the pharma or biotech industry.

Required Competencies & Skills

Experience with Azure Cloud (Databricks, DevOps, DataFactory) Pharma / biotech domain experience, specifically within the commercial data space (sales, market access / payer, marketing) Strong hands-on python, pyspark, and SQL skills Direct experience with building and leveraging API integrations in ETL pipeline development Experience integrating with current best-in-class AI models and APIs like OpenAI API, Databricks AI models, etc. Self-driven with ability to independently design end-to-end data pipelines while ensuring architectural best practices Ability to collaborate with a broad set of stakeholders to evaluate the business need and construct a technical design that can enable stakeholder priorities Travel up to 20% Preferred Competencies & Skills

Strong knowledge of and experience with maximizing business value using Databricks Unity Catalog or Databricks One capabilities Familiarity with tools and practices in the Martech and Adtech landscape Knowledge of Consumer, Patient, or HCP data ecosystems Experience with identity providers like LiveRamp, Acxiom, Experian, etc. Experience with custom-built or third-party Customer Data Platforms (CDP) Experience with marketing automation tools

Quick Apply

Refine Your Search

Experian Consumer Direct jobs

BioTech Data Engineer

Credit Bureau Specialist

Commercial Partner Manager, Publishers & Platforms

Director of Financial Planning and Analysis

Transformation Strategy Senior Manager

Senior Software Engineer, Full Stack

Director Publishers and Platforms

Manager, DevOps

Lead Software Engineer

Senior Loan Officer

Director, Product Management, Data Science (AdTech/Programmatic)

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