Data Engineer

Company Description

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.

Job Description

As a 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 Pipeline Development

• Design, develop, and maintain data pipelines to integrate, transform, and load data from diverse sources using tools such as Databricks and Fivetran.
• Optimize data workflows for performance, reliability, and scalability.

1. Data Warehouse Development

• Collaborate with analysts and data scientists to maintain and enhance the data warehouse architecture for analytics and machine learning.
• Ensure data models are efficient and support key business use cases.

1. ETL/ELT Processes

• Develop ETL/ELT processes to extract, transform, and load data, ensuring timely and accurate data delivery.
• Automate and monitor ETL workflows to ensure continuous reliability.

1. Data Quality & Monitoring

• Implement tools and frameworks to ensure data quality, accuracy, and consistency.
• Proactively identify and resolve data issues to maintain high-quality datasets.

1. Collaboration

• Partner with software engineers, product managers, and business stakeholders to understand data requirements and deliver tailored solutions.
• Share knowledge and collaborate to ensure alignment with organizational objectives.

1. System Performance

• Monitor and optimize the performance of data systems to handle current and future workloads efficiently.
• Troubleshoot and resolve data-related challenges in real-time.

1. Documentation & Standards

• Create and maintain documentation for data pipelines, workflows, and system configurations.
• Promote best practices for data governance, coding standards, and security.

Qualifications

• Experience:
  • 5+ years of experience in data engineering with hands-on expertise in building scalable and reliable data platforms.
  • Proven experience with data pipelines, data integration, and warehouse optimization.
• Technical Proficiency:
  • Must Have:
  • Proficiency with cloud platforms (AWS, Azure, or Google Cloud).
  • Hands-on experience with tools like Databricks, ELT/ETL (preferably Fivetran), SQL, Python, and Spark.
  • Nice to Have:
  • Familiarity with event-tracking tools like 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

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

Compensation:

• Base Salary: $100k - $120k
• Bonus - 10% of annual earnings
• Benefits:
  • 401(k) plus match
  • Dental insurance
  • Health insurance
  • Vision Insurance
  • Paid Time Off

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.

#LI-AR1

#LI-REMOTE

Additional Information

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.