Sr Data Engineer

Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you.  

Responsibilities: 

• Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and machine learning initiatives.

• Utilize workflow management platforms to orchestrate and automate data engineering pipelines.

• Implement data models and schemas to support data storage, retrieval, and analysis.

• Work closely with data scientists and analysts to understand data requirements and provide data engineering solutions.

• Collaborate with software engineers to integrate data pipelines with existing systems and applications.

• Implement data quality monitoring and validation processes to ensure data integrity and accuracy.

• Optimize data infrastructure and performance to meet scalability and performance requirements.

• Setup instrumentation and monitoring to track production health parameters and proactively alert in case of any performance degradation.

Qualifications:

• Over 5 years of experience in data engineering or a related role.

• Strong experience with the Google Cloud platform and its respective data services (BigQuery, Airflow).

• Strong experience working with relational databases such as SQL server, as well as NoSQL databases such as MongoDB.

• Proficiency in Python for scripting and data manipulation.

• Solid understanding of data modeling concepts and database technologies (e.g., SQL, NoSQL, relational databases).

• Experience working with monitoring tools such as Datadog is a plus.

• Experience with data warehouse solutions such as Snowflake, Redshift, or BigQuery.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills, with the ability to work effectively in a team environment.