Data Engineer 1

About The Company
Indeed is the world's leading job site, dedicated to helping people find meaningful employment opportunities worldwide. Our mission is to connect job seekers with employers, fostering an inclusive and accessible workplace where everyone feels valued and empowered to be themselves. As a pioneer in the employment industry, Indeed continuously strives to innovate and enhance the experience for millions of users. With a commitment to diversity, equity, and inclusion, we aim to create a supportive environment that nurtures growth and collaboration. Our platform serves as a vital bridge between talent and opportunity, supporting the global workforce and driving economic development across regions.
About The Role
We are seeking a skilled Data Engineer to join our dynamic team. In this role, you will be responsible for integrating data from multiple sources into unified data domain models to support our analytics and business intelligence activities. This position plays a critical part in enhancing data quality, scalability, and efficiency across our global operations. You will define and implement changes to our data lake data models, develop scalable data pipelines, and optimize data processing workflows. Your work will directly contribute to our mission of helping people get jobs by providing valuable insights into the global job market and enabling product innovation. The ideal candidate will have practical experience working in big data environments, with a strong focus on data modeling, automation, and building reliable data pipelines. Collaboration with cross-functional teams and participation in on-call support for critical data processes are essential components of this role.
Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Statistics
• 1+ years of experience with big data and streaming technologies such as Snowflake, Redshift, Hive, Kafka, Spark, Flink, or similar
• Exposure to workflow orchestration and pipeline tools like Airflow
• At least 2 years of coding experience in Python or Scala
• Strong understanding of data modeling and data processing in large-scale environments
• Passion for data, continuous learning, and staying updated with new technologies

Responsibilities

• Design and implement robust data pipelines (ETLs) to integrate data from diverse sources into the Glassdoor (Indeed) Data Warehouse
• Develop and modify data models, collaborating cross-functionally with product and data teams to meet business needs
• Provide comprehensive documentation, training, and consulting to data warehouse users to ensure effective utilization
• Participate in on-call rotations to support critical business data pipelines, ensuring high availability and reliability
• Monitor and optimize data workflows for performance, scalability, and accuracy
• Stay informed about emerging data technologies and incorporate best practices into existing processes

Benefits

• Comprehensive health coverage including medical, dental, and vision insurance
• Disability and life insurance to support your wellbeing
• 401(k) plan and equity-based incentive programs to secure your financial future
• Open paid time off, along with 11 paid holidays annually
• Up to 26 weeks of paid parental leave to support work/life harmony
• Support for pets, family, and personal development through various wellness programs
• Opportunities for professional growth and career advancement within a global organization

Equal Opportunity
Indeed is committed to fostering an inclusive and diverse workplace where all individuals are valued and respected. We are proud to be an equal opportunity employer, providing consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neurodiversity, disability, age, veteran status, or any other protected characteristic. We also provide reasonable accommodations for qualified individuals with disabilities throughout the hiring process. Our dedication to inclusion and belonging extends to supporting individuals with criminal histories and military experience.