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 order to diagnose and resolve incidents in production data pipelines
Proficiency in Agile methodologies, with knowledge of DevOps, CI/CD, and infrastructure as code practices
Relevant certifications (GCP Cloud Architect, GCP Data Engineer) are a plus but not required
#LI-Remote
Annual Pay Range:
105,800 - 150,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2024-12-30
CoreLogic benefits information can be found here: http://www.yourcorebenefits.com/. Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.
CoreLogic's Diversity Commitment:
CoreLogic is fully committed to employing a diverseworkforce and creating an inclusive workenvironment that embraces everyone's uniquecontributions, experiences and values. We offer anempowered work environment that encouragescreativity, initiative and professional growth andprovides a competitive salary and benefits package. We are better together when we support and recognize our differences.
EOE AA M/F/Veteran/Disability:
CoreLogic is an Equal Opportunity/Affirmative Actionemployer committed to attracting and retaining thebest-qualified people available, without regard torace, color, religion, national origin, gender, sexualorientation, gender identity, age, disability or statusas a veteran of the Armed Forces, or any other basisprotected by federal, state or local law. CoreLogicmaintains a Drug-Free Workplace.
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