Staff Data Engineer

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.

Our employees live the company values every day:

• Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
• Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
• Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
• Win The Right Way: We see organizational integrity as the foundation for how we operate.
• Embrace Change: We innovate and constantly evolve.

As a Staff Data Engineer, you will play a pivotal role in building and optimizing our data infrastructure to enable robust, data-driven decision-making across the organization. You’ll work hands-on with cutting-edge technologies, lead complex projects, and collaborate with cross-functional teams to deliver scalable data solutions that meet business needs.

Key Responsibilities:

1. Data Engineering Leadership
   • 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.
2. Data Warehouse Development & Optimization
   • 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.
3. ETL Pipeline Development
   • Design and build ETL processes to integrate, transform, and deliver data from multiple sources.
   • Ensure ETL jobs are optimized for efficiency, accuracy, and timeliness.
4. Data Quality & Monitoring
   • Implement tools and frameworks to monitor and maintain data accuracy, consistency, and reliability.
   • Build automated systems for detecting and resolving data quality issues.
5. Collaboration & Mentorship
   • 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.
6. System Performance & Troubleshooting
   • Continuously monitor data platform performance, identifying and addressing bottlenecks.
   • Act as a technical expert to resolve complex data engineering challenges.
7. Documentation & Best Practices
   • Create and maintain documentation for pipelines, processes, and system configurations.
   • Advocate for best practices in coding standards, data governance, and security.

Experience:

• 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.

Technical Proficiency:

• Must Have: Advanced skills in Databricks, Cloud Platforms (preferably-AWS or Azure or Google Cloud), SQL, Python, Spark, and ETL tools (preferably Fivetran).
• Nice to Have: Experience with event tracking tools (e.g., Segment).

Problem-Solving:

• Strong analytical skills and the ability to solve complex data engineering challenges.

Collaboration & Communication:

• Ability to work effectively in cross-functional teams and communicate technical concepts to diverse audiences.

Education:

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Why Join Us?

• 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.

Be a part of the team shaping the future of senior care through technology and data excellence!

Compensation:

• Base Salary: $150k - $170k
• Bonus - 20% of annual earnings
• Benefits:
  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

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All your information will be kept confidential according to EEO guidelines. 

A Place for Mom uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.