Data Engineer, Entry-Level
Role summary
Our company is a leading job site dedicated to empowering individuals by connecting millions of job seekers with employers. We are seeking an Entry-Level Data Engineer to join our global team. This role involves aggregating data from multiple sources into unified data models, modifying data lake models, and developing scalable data management processes. You will create data pipelines, automate tests, and ensure reliable data flows to support data analytics, product innovation, and market insights. The ideal candidate has practical experience in big data environments, proficiency in Python or Scala, and a passion for data-driven decision-making. Join us in shaping the future of employment.
About The Company
Our mission is to empower individuals by helping them find jobs through the world’s leading job site. We are committed to creating an inclusive and welcoming workplace where everyone has the opportunity to thrive. As a global organization, we strive to innovate continuously and enhance the job-seeking experience for users worldwide. Our platform connects millions of job seekers with employers, providing valuable insights and tools to facilitate meaningful employment opportunities. We foster a collaborative environment that values diversity, creativity, and dedication, ensuring our team remains at the forefront of the industry. Join us in shaping the future of employment and making a positive impact on millions of lives globally.
About The Role
The Entry-Level Data Engineer plays a vital role in aggregating data from multiple sources into unified data models to support data analytics across our global business units, including Glassdoor and Indeed. This technical position requires modifying data lake models and developing scalable, efficient data management processes. The ideal candidate will have practical experience in data processing and modeling within a big data environment, including expertise in creating data pipelines, automating tests, and ensuring reliable data flows. Your contributions will be instrumental in providing insights into the job market, supporting product innovation, and enhancing connectivity for job seekers and employers alike. You will collaborate closely with product and data teams to design, implement, and optimize data solutions, ensuring the integrity and accessibility of our data assets.
Qualifications
- B.S. degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or Statistics
- Minimum of 1 year of experience with big data and streaming technologies such as Snowflake, Redshift, Hive, Kafka, Spark, or Flink
- Familiarity with workflow orchestration and pipeline management tools like Airflow
- At least 2 years of programming experience, preferably in Python or Scala
- Strong analytical skills and a passion for data-driven decision making
- Excellent problem-solving abilities and attention to detail
- Ability to work effectively in a collaborative, fast-paced environment
- Willingness to learn new technologies and adapt to evolving project requirements
Responsibilities
- Design, develop, and maintain data pipelines (ETLs) to integrate data from various sources into the Data Warehouse
- Collaborate with product and data teams to design and implement updates to data models
- Create comprehensive documentation for data processes and models
- Provide training and consulting support to users of the data warehouse
- Participate in an on-call rotation to ensure the continuous operation of critical data pipelines
- Automate testing and validation processes to ensure data quality and reliability
- Optimize data workflows for performance and scalability
- Stay current with emerging data technologies and incorporate best practices into workflows
Benefits
- Comprehensive medical, dental, and vision insurance plans
- Disability and life insurance coverage
- Enrollment in our 401(k) retirement savings plan
- Participation in an equity-based incentive program
- Flexible paid time off and 11 paid holidays per year
- Up to 26 weeks of paid parental leave
- Opportunities for professional development and continuous learning
- Supportive and inclusive workplace culture
Equal Opportunity
Our company is committed to fostering an inclusive environment and is proud to be an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic. We actively encourage individuals from diverse backgrounds, including those with military experience and justice-involved backgrounds, to apply. Our goal is to ensure a fair and equitable hiring process and to build a workforce that reflects the communities we serve.
