Senior Data Engineer

Software Development

WFA Digital Insight

As demand for skilled data engineers continues to soar, with a 25% increase in remote data engineering roles in the past year, companies like Recharge are at the forefront of innovation. With over 20,000 brands relying on their platform, the need for experts who can harness the power of data to drive business growth has never been more pressing. Recharge stands out for its commitment to customer retention and its relentless pursuit of product innovation, making this role an exciting opportunity for those looking to make a real impact in the industry. Before applying, candidates should be aware that a strong foundation in data warehousing methodologies and experience with a variety of data management platforms will be essential in this role.

Job Description

About the Role

The Senior Data Engineer position at Recharge is a critical component of the company's Data and Analytics team, responsible for developing and maintaining the infrastructure that supports the company's data-driven decision-making. This role involves building scalable data pipelines, designing data models, and ensuring the quality and consistency of data across the organization. The successful candidate will work closely with cross-functional teams, including data analysts, developers, and business stakeholders, to empower data-driven insights and inform business strategy.

As a key member of the Data and Analytics team, the Senior Data Engineer will play a pivotal role in shaping the company's data strategy and driving the development of data products that meet the evolving needs of Recharge's customers. This is a remote position, offering the opportunity to work with a global team and contribute to the growth and success of a leading subscription platform.

What You Will Do

Design, develop, and maintain large-scale data pipelines and architectures to support internal business analytics and customer-facing data products
Build and optimize data models, including dimensional models and data warehouses, to support business intelligence and data science applications
Develop and implement data quality, monitoring, and alerting processes to ensure data integrity and consistency
Collaborate with data analysts and scientists to develop and refine data products and insights
Work with cross-functional teams to implement data strategies and build data flows that meet business needs
Design and develop automated testing and validation frameworks to ensure data pipeline reliability
Participate in the evaluation and implementation of new data management technologies and tools
Develop and maintain technical documentation of data pipelines, architectures, and data models
Collaborate with stakeholders to identify and prioritize data initiatives and projects
Develop and implement data security and access controls to ensure data privacy and compliance
Stay up-to-date with industry trends and emerging technologies in data engineering and architecture

What We Are Looking For

5+ years of experience in a data engineering role, with a focus on building scalable data pipelines and architectures
Strong expertise in data modeling, data warehousing, and data governance
Experience with a variety of data management platforms, including Snowflake, Redshift, and Databricks
Proficiency in SQL and experience with data transformation languages such as Python
Experience with data pipeline orchestration tools such as Apache Airflow or Cloud Composer
Strong understanding of data quality, data security, and data compliance principles
Experience working with cross-functional teams, including data analysts, scientists, and stakeholders
Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders
Experience with agile development methodologies and version control systems such as Git

Nice to Have

Experience with machine learning and artificial intelligence technologies, including natural language processing and predictive analytics
Familiarity with cloud-based data platforms, including AWS and GCP
Experience with containerization technologies such as Docker and Kubernetes
Knowledge of data governance and data quality frameworks, including data catalogs and data lineage
Experience with data visualization tools such as Tableau or Power BI

Benefits and Perks

Competitive salary and benefits package
Opportunity to work with a leading subscription platform and contribute to the growth and success of the company
Collaborative and dynamic work environment with a global team
Professional development opportunities, including training and education programs
Flexible working hours and remote work arrangements
Access to cutting-edge technologies and tools
Recognition and reward programs for outstanding performance

How to Stand Out

Develop a strong understanding of data modeling and data warehousing principles, including dimensional modeling and data governance
Familiarize yourself with a variety of data management platforms, including Snowflake, Redshift, and Databricks
Practice building and optimizing data pipelines using tools such as Apache Airflow or Cloud Composer
Highlight your experience working with cross-functional teams and collaborating with stakeholders to drive business outcomes
Be prepared to discuss your approach to data quality, data security, and data compliance in a technical interview
Showcase your proficiency in SQL and data transformation languages such as Python
Research the company and the role to understand the specific challenges and opportunities in the position

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