Senior Data Engineer

About the Role

Recharge is a leader in the subscription platform space, serving over 20,000 brands globally. The company's relentless focus on innovation and customer experience has driven its success, and this role will play a pivotal part in continuing that momentum. By joining the Data and Analytics team, you will be working closely with cross-functional teams to implement data strategies, build data flows, and develop conceptual, logical, and physical data models that drive business growth.

The Senior Data Engineer will be responsible for designing, developing, and optimizing existing ETL processes, ensuring data quality and consistency, and influencing stakeholders across the organization. This role requires a unique blend of technical expertise, business acumen, and communication skills, making it an exciting opportunity for a seasoned data engineer looking to make a significant impact.

What You Will Do

• Build data pipelines, ELT, and infrastructure solutions to power internal data analytics and customer-facing data products
• Create automated monitoring, auditing, and alerting processes to ensure data quality and consistency
• Collaborate with business and application teams to implement data strategies and build data flows
• Design, develop, and optimize existing ETL processes that merge data from disparate sources
• Work with stakeholders to identify and prioritize data projects that drive business value
• Develop and maintain conceptual, logical, and physical data models that support business analytics
• Influence and communicate with all levels of stakeholders, including analysts, developers, business users, and executives
• Seek ways to continually improve the operations, monitoring, and performance of the data warehouse
• Redesign and optimize existing data processes using AI and machine learning techniques to improve team productivity and enhance data quality

What We Are Looking For

• 5+ years of experience in a data engineering related role with a track record of building scalable data pipeline and platform solutions
• 3+ years of hands-on experience designing and building data pipelines and models to ingest, transform, and deliver large amounts of data
• Experience with a variety of data warehouse, data lake, and enterprise data management platforms (Snowflake, Redshift, Databricks, MySQL, Postgres, Oracle, RDS, AWS, GCP)
• Solid grasp of data warehousing methodologies like Kimball and Inmon
• Experience working with ETL tools (FiveTran, dbt, Python) and workflow orchestration management engines (Airflow, Cloud Composer)
• Strong understanding of data quality, data governance, and data security principles
• Excellent communication and collaboration skills, with the ability to influence stakeholders
• Experience working in a remote or distributed team environment

Nice to Have

• Experience with LLM-assisted development, automated documentation, and issue resolution
• Knowledge of cloud-based data platforms and migration strategies
• Familiarity with data science and machine learning concepts, including model deployment and integration
• Certification in data engineering or a related field (e.g., AWS Certified Data Engineer)

Benefits and Perks

• Competitive salary and equity package
• Flexible and remote work arrangements, with a stipend for home office setup and ongoing support
• Comprehensive health, dental, and vision insurance, including mental health support
• Generous PTO policy, including vacation days, sick leave, and holidays
• Access to professional development opportunities, including training, conferences, and workshops
• Participation in Recharge's 401(k) plan, with company matching
• A dynamic and supportive team environment, with regular social events and team-building activities

• To stand out, highlight your experience with scalable data pipelines, ETL processes, and data quality assurance in your application and during interviews.
• Showcase your ability to communicate complex technical concepts to non-technical stakeholders, as this is a critical aspect of the Senior Data Engineer role.
• Be prepared to discuss your experience with cloud-based data platforms, data warehousing, and data governance principles.
• When negotiating salary, consider factors such as location, experience, and industry standards, and be prepared to provide evidence of your market value.
• Pay attention to Recharge's company values, such as ownership and empathy, and be prepared to discuss how you embody these values in your work.
• Consider creating a portfolio that showcases your data engineering projects and accomplishments, and be prepared to walk the interviewer through your design decisions and technical choices.