Data Engineer 1

About The Company
Indeed, Mission: As the world’s number 1 job site, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We are dedicated to creating the best experience for job seekers by continuously innovating and improving our platform. Our commitment to diversity, equity, and inclusion is at the core of everything we do, ensuring a welcoming environment for all employees and users. Recognized for our leadership in the employment industry, we leverage cutting-edge technology and data-driven insights to connect millions of job seekers with potential employers worldwide. Our organization values collaboration, creativity, and a passion for making a positive impact on the global workforce.
About The Role
We are seeking a talented Data Engineer to join our dynamic team. In this role, you will be responsible for integrating data from multiple sources into cohesive data domain models to support our analytics and business intelligence efforts. The Data Engineer will play a vital role in designing, developing, and maintaining scalable data pipelines and models that drive insights into the global job market. This position involves working closely with cross-functional teams including product managers, data scientists, and business stakeholders to ensure data quality, reliability, and efficiency. You will be instrumental in defining changes to our data lake architecture and building processes that facilitate data accessibility and trust. Your work directly contributes to our mission by enabling data-driven decision-making and fostering product innovation that benefits job seekers and employers alike.
Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Statistics
• Minimum of 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
• Practical experience with data modeling, test automation, and building reliable data pipelines
• Strong understanding of data processing in a “big data” environment
• Excellent problem-solving skills and a passion for learning new technologies
• Effective communication skills and ability to work collaboratively across teams

Responsibilities

• Design and implement scalable data pipelines (ETLs) to integrate data from various sources into the Glassdoor (Indeed) Data Warehouse
• Develop and modify data models in collaboration with product and data teams to support evolving business needs
• Create comprehensive documentation, provide training, and offer consulting to data warehouse users
• Participate in on-call rotations to support critical business data pipelines and ensure high availability
• Optimize data processing workflows for efficiency and reliability
• Collaborate with cross-functional teams to identify data requirements and deliver solutions that enhance analytics capabilities
• Monitor and troubleshoot data pipeline issues, implementing improvements as necessary

Benefits

• Comprehensive health, dental, vision, disability, and life insurance coverage
• Participation in the company’s 401(k) plan and equity-based incentive programs
• Open paid time off policy, including 11 paid holidays annually
• Up to 26 weeks of paid parental leave to support work/life harmony
• Support for pets, kids, and partners through various wellness and family benefits
• Opportunities for professional growth and continuous learning
• Access to regional and company-wide perks, programs, and resources

Equal Opportunity
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued but prioritized. We are proud to be an equal opportunity employer, actively seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, veteran status, or any other legally protected characteristic. We provide reasonable accommodations to qualified individuals with disabilities throughout the application process. To request an accommodation, please visit our dedicated page. Inclusion and belonging are fundamental to our culture, and we believe that diversity fuels innovation and creativity, making our organization stronger and more effective in achieving our mission.