Senior Data Engineer

Summary

Join Glassdoor's Data Engineering team as a Senior Data Engineer to design and build scalable data solutions for machine learning, analytics, and data products across Glassdoor, Fishbowl, Indeed, and Recruit. The ideal candidate possesses strong software engineering fundamentals, cloud and big data technology experience, and a proven ability to build robust, scalable systems. You will collaborate with various teams to deliver end-to-end data solutions, working at petabyte scale and utilizing a wide range of technologies. This individual contributor role values collaboration and teamwork. If you are passionate about data and cutting-edge technology, apply now. Glassdoor offers competitive compensation and benefits.

Requirements

• A team player outlook, with a growth mindset and an impact-driven approach
• 5+ years of experience developing scalable, resilient data engineering solutions
• 3+ years of hands-on experience with distributed data processing and cloud technologies (e.g., Spark, Flink, Kafka, Snowflake, Databricks, Redshift)
• Experience designing and modeling data for data lakes and modern data architectures (batch and streaming) at multi-terabyte or petabyte scale
• 4+ years of experience coding in Python and applying software engineering best practices
• Deep understanding of distributed data processing, data modeling, and building ETL/ELT pipelines
• Familiarity with data architecture patterns (Lambda vs. Kappa), OLTP vs. OLAP systems, and data modeling strategies
• Exposure to test-driven development and automated testing frameworks
• Experience working in Agile/Scrum environments
• Ability to manage multiple priorities with minimal supervision
• Strong communication and collaboration skills—able to work across functions and explain technical concepts to non-technical audiences
• Proven experience with modern data stack principles and tools
• Bachelor’s degree in Computer Science or equivalent professional experience
• A strong interest in data and building high-impact, scalable systems in a tech-forward, AI-enhanced environment

Responsibilities

• Design, build, and maintain scalable batch and streaming data pipelines using technologies like Apache Airflow, Spark, Flink, Kafka, Iceberg, and Snowflake
• Develop real-time data workflows using engines such as Kafka or Kinesis
• Collaborate with cross-functional teams—product managers, software engineers, ML engineers, and data scientists—to design data models and pipelines that support business use cases
• Leverage AI tools to improve development velocity, data quality, and platform reliability
• Drive the evolution of our data platform, ensuring efficiency, resiliency, and scalability
• Apply software engineering best practices, including unit and integration testing, to data workflows
• Participate in a rotational on-call schedule to support production systems
• Maintain and enhance existing systems to meet evolving business needs
• Quickly ramp up on our technology and domain, and proactively share knowledge with the team

Preferred Qualifications

• Experience building customer-facing products, machine learning pipelines, or data products
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS, GCP)
• Exposure to modern data tools like DBT, Soda Spark, Great Expectations, Anomalo, or Monte Carlo
• Experience with observability and alerting tools such as DataDog
• Contributions to open-source projects or active involvement in the data engineering community

Benefits

• Base Salary Range*: $112,000 - $148,800
• Annual Bonus Target**: 10%
• Generous Restricted Stock Units (RSU)
• Health and wellness: 100% employer-paid premiums for employee medical, dental, vision, life, short and long-term disability and select well-being programs, along with 80% employer-paid premiums for all dependents
• Generous paid time-off programs for birthing and non-birthing parents are provided, along with additional company-sponsored leaves such as paid injury/illness leave, family emergency leave, compassionate leave, and domestic & sexual violence leave
• Wellness programs to support mental, physical, and financial health, such as paid career coaching & mental health therapy, financial coaching, subsidized fitness & wellness appointments, HSA, FSA, commuter benefits, fertility & pregnancy support, employee perks and discounts, legal assistance program, gender-affirming care relocation benefit and work-from-home monthly allowance
• Work/life balance : Open Paid Time Off policy, in addition to 15-20 paid company holidays/year
• Investing in your future: 401(k) plan with a company match up to $5,000 per year, subsidized fertility & family planning services and discounted legal assistance services