Senior Data Engineer - CoreLogic

At CoreLogic, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

Who We're Looking For
CoreLogic is seeking a hybrid-remote Senior Data Engineer with strong experience in data engineering and a proven record of building and scaling data products. This role is key to advancing and maintaining our data infrastructure, with a specific focus on cross-functional collaboration to deploy and manage complex data pipelines. The ideal candidate will be proficient in SQL, Python, and cloud platforms like GCP, have experience with agile methodologies, be conversant with the data science lifecycle, and will contribute to a high-impact cloud data platform team. This is an excellent opportunity for someone passionate about driving data initiatives who excels in a dynamic, product-focused environment.

What You'll Be Doing to Drive Innovation

• Orchestrate, deploy, and manage data pipelines for varied data and data science projects across SQL, Python, and GCP environments
  
• Collaborate with technical product managers, data scientists, and analysts to ensure a deep understanding of product goals, business context, and key data needs
  
• Develop data solutions that leverage big data technologies (e.g., Airflow, BigQuery, dbt, Google DataFlow, DataProc, Apache Beam) to support scalable, reliable, and innovative data products
  
• Implement cloud resource provisioning, automation, and monitoring, primarily within GCP, to optimize system performance and security
  
• Participate in technical product management efforts, with future opportunities to drive cross-functional projects that shape our data platform's roadmap
  
• Maintain detailed documentation of data processes, standards, and workflows, ensuring best practices in SDLC, data management, and project execution.
  

Why Join Our Team

• Be part of a transformative data team that is redefining how we use data and AI to drive business impact and support scaled products
  
• Work in an environment where innovation is encouraged, with access to advanced cloud and big data tools
  
• Collaborate with a diverse, cross-functional team that values knowledge sharing, experimentation, and continuous learning
  
• Work in a supportive and flexible work culture committed to team and individual growth
  

Job Qualifications:

• Bachelor's degree in computer science, Data Engineering, a related field or equivalent experience.
  
• 5+ years of experience in data engineering roles, with hands-on expertise in SQL, Python, and cloud services (GCP preferred).
  
• Strong experience with big data tools such as Spark, Hadoop, and Kafka, with a deep understanding of cloud-based data storage, processing, and orchestration (e.g., Jenkins, Terraform)
  
• Demonstrated ability to work cross-functionally and communicate effectively across technical and non-technical teams
  
• Experience with working on machine learning (ML) engineering initiatives, with an understanding of data science and generative AI initiatives
  
• Experience working with stakeholders to understand requirements and define execution plans for technical work
  
• Experience working with large-scale data products, with strong documentation skills and the ability to translate complex requirements into actionable solutions
  
• Ability to optimize database queries and query performance
  
• Demonstrated expertise in a variety of the concepts, practices, and procedures in database design and implementation
  
• Ability to mentor other team members on area(s) of expertise
  
• Provide operational support on complex/escalated issues in