Job summary
Job post source
This job is directly from Frontdoor, Inc.
Job overview
The Sr. Data Engineer role at Frontdoor, Inc. involves designing and implementing advanced data architectures and integrating analytical models to support business goals and innovation.
Responsibilities and impact
The role requires hands-on design and deployment of data solutions, integrating Generative AI and LLM technologies, managing data pipelines with Snowflake, dbt, Kafka, and Airflow, API integration, data governance, and leading the data engineering team.
Compensation and benefits
The salary ranges from $165k to $180k depending on skills and location, with additional rewards and incentives possible. Benefits include medical, dental, vision, life, disability insurance, wellness programs, 401(k) matching, and an employee stock purchase plan.
Experience and skills
Candidates need 10+ years in data engineering with expertise in Snowflake, AWS, dbt, Airflow, Kafka, programming in Python, SQL, Scala, and knowledge of data governance and microservices architectures. A Bachelor’s or Master’s degree in a related field is required.
Company information
Frontdoor, Inc. is a parent company of American Home Shield, offering home repair and maintenance services through innovative technology and a large network of contractors, serving around two million members.
Job location and travel
The position is based in the US with no specific city mentioned, and it is a full-time role.
Unique job features
The job features pioneering integration of Generative AI and LLM technologies and leadership responsibilities in a data engineering team, emphasizing innovation and continuous learning.
Company overview
Frontdoor, Inc. is a leading provider of home service plans, offering a range of solutions to help homeowners manage and maintain their home systems and appliances. The company generates revenue primarily through the sale of service plans and subscription-based services, which provide customers with access to a network of pre-screened service professionals for repairs and maintenance. Established in 2018 as a spin-off from ServiceMaster, Frontdoor has quickly become a prominent player in the home services industry, leveraging its digital platform to enhance customer experience and operational efficiency. With a focus on innovation, Frontdoor continues to expand its service offerings and improve its technological capabilities to meet the evolving needs of homeowners.
How to land this job
Position your resume to highlight extensive experience in data engineering with a strong focus on cloud solutions like Snowflake and AWS, showcasing your ability to design and deploy scalable data architectures.
Emphasize your hands-on expertise with tools such as dbt, Airflow, Kafka, and your experience integrating Generative AI and LLM technologies to drive innovation in data analysis.
Showcase your skills in API integrations with platforms like Salesforce and Qualtrics, along with your proficiency in Python, SQL, and Scala, to align with the technical requirements of Frontdoor, Inc.
Apply through multiple channels including Frontdoor's corporate careers site and LinkedIn to maximize your application visibility and chances of being noticed.
Connect with data engineering and analytics professionals at Frontdoor, Inc. on LinkedIn; use ice breakers such as commenting on recent AI initiatives at Frontdoor or asking about their experience integrating Generative AI in data workflows.
Optimize your resume for ATS by incorporating keywords from the job description like 'Snowflake,' 'Generative AI,' 'data governance,' 'Kafka,' and 'dbt' to ensure your resume passes automated screenings efficiently.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your energy on preparation and interviews.
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