Job Description

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.

Qualifications

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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Additional Information

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

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