WorkMoney is hiring a
Lead Data Engineer in United States

Summary

The job is for a Lead Data Engineer at WorkMoney, a company that aims to make American life more affordable. The role involves managing and optimizing data processes, collaborating on the design of a scalable data infrastructure, and addressing requests for data and reporting. The candidate should have experience with AWS, DBT, SQL, and Python.

Requirements

• 2+ years as a Senior Data Engineer OR 6+ years’ experience in data engineering
• Expertise in utilizing DBT or similar ETL tools, along with a history of successfully designing and building tables and databases
• Strong database architecture skills, coupled with critical thinking and problem-solving abilities, enabling the handling of ambiguous and evolving requirements
• Proven experience building and optimizing data environments, preferably in AWS and Redshift
• Proficient in SQL and Python, with the ability to utilize these tools effectively
• Seasoned in refining and enhancing existing data pipelines to unlock peak efficiency and exceptional performance
• Skilled in collaborating with stakeholders to identify critical issues, prioritize solutions, and devise effective solutions utilizing resources
• Self-motivated problem solver with a keen eye for identifying and rectifying data inaccuracies
• Proficient in conducting research, proposing innovative tools and setups, and leading migrations, with a knack for planning and execution
• Experience working with external vendors/contracts and adept at communicating complex technical concepts to both technical and non-technical audiences
• Collaborative mindset, thriving in cross-functional teams by effectively sharing knowledge and contributing to the delivery of high-quality products

Responsibilities

• Conduct detailed assessments of database architecture to uphold data integrity, quality, performance, and scalability
• Collaborate in the design and construction of a scalable data infrastructure, leveraging technologies like AWS, Redshift, Salesforce, DBT, and more
• Play a key role in scoping and deploying data pipelines within our infrastructure, ensuring seamless data transfer for programmatic requirements such as integrating calling systems with Salesforce and Redshift
• Evaluate new tools and propose enhancements to existing systems and processes to optimize efficiency and effectiveness
• Implement and oversee alerts to monitor data infrastructure health and track metrics showcasing data quality
• Develop and maintain comprehensive documentation on data flows and mappings to ensure transparency and operational efficiency
• Promptly address requests for data and reporting, ensuring timely delivery and responsiveness to stakeholder needs
• Skillfully manage project timelines and deliverables, ensuring prompt completion and optimal outcomes
• Provide regular, clear updates and status reports to keep stakeholders informed and engaged
• Establish and maintain a robust issue tracking system, enabling the identification, prioritization, and resolution of challenges encountered during project execution
• Collaborate with the team to identify opportunities for innovation and improvement, actively contributing to the continuous evolution of our data infrastructure and engineering capabilities

Benefits

• The salary for this role is $144,200 annually
• Competitive pay
• Expansive paid time off options
• Employer contributions to retirement and student loan repayment
• Healthcare, dental, and vision plans covered by WorkMoney
• 401(k) employer match
• Four weeks paid vacation
• Generous paid family and medical leave
• Annual allowances for remote work and professional development