Staff Data Engineer

Summary

Join A Place for Mom as a Staff Data Engineer and play a pivotal role in building and optimizing our data infrastructure. You will lead the design and implementation of high-performance data pipelines, develop and maintain our data warehouse, and build ETL processes. Collaborate with cross-functional teams, mentor junior engineers, and ensure data quality and platform performance. This impactful role requires 8+ years of data engineering experience, advanced skills in Databricks, cloud platforms, SQL, Python, Spark, and ETL tools. A Bachelor's degree in a related field is required (Master's preferred). We offer a collaborative environment, competitive compensation ($150k-$170k base salary plus 20% bonus), and comprehensive benefits.

Requirements

• 8+ years of experience in data engineering with significant expertise in designing and maintaining scalable data platforms
• Proven track record of building and optimizing data pipelines and warehouses
• Advanced skills in Databricks, Cloud Platforms (preferably-AWS or Azure or Google Cloud), SQL, Python, Spark, and ETL tools (preferably Fivetran)
• Strong analytical skills and the ability to solve complex data engineering challenges
• Ability to work effectively in cross-functional teams and communicate technical concepts to diverse audiences
• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred)

Responsibilities

• Lead the design and implementation of high-performance data pipelines and workflows using Databricks on AWS
• Drive innovation and improvements in data engineering practices and processes across teams
• Develop, maintain, and optimize our data warehouse architecture for performance, scalability, and reliability
• Collaborate with data scientists and analysts to ensure the warehouse supports business intelligence and machine learning needs
• Design and build ETL processes to integrate, transform, and deliver data from multiple sources
• Ensure ETL jobs are optimized for efficiency, accuracy, and timeliness
• Implement tools and frameworks to monitor and maintain data accuracy, consistency, and reliability
• Build automated systems for detecting and resolving data quality issues
• Partner with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand data requirements and deliver solutions
• Provide technical guidance and mentorship to junior engineers to foster professional growth
• Continuously monitor data platform performance, identifying and addressing bottlenecks
• Act as a technical expert to resolve complex data engineering challenges
• Create and maintain documentation for pipelines, processes, and system configurations
• Advocate for best practices in coding standards, data governance, and security

Preferred Qualifications

Experience with event tracking tools (e.g., Segment)

Benefits

• Opportunity to work on impactful projects that improve the lives of families and seniors
• Collaborative and inclusive environment focused on innovation and professional growth
• The chance to shape data-driven decision-making in a mission-driven organization
• Base Salary: $150k - $170k
• Bonus - 20% of annual earnings
• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off