Sr. Data Engineer

New York, NY, United States

A Place For Mom

Find the top assisted living, memory care & other senior living communities near you. Read reviews, get pricing & connect with a local Senior Living Advisor.

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Company Description

About A Place for Mom:

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

Key Responsibilities and Deliverables:

  • Data Warehouse Operations:
    • Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability.
    • Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency.
  • ETL Development and Maintenance:
    • Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.
    • Manage and optimize data pipelines to ensure timely and accurate data processing and delivery.
  • Data Quality and Monitoring:
    • Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse.
    • Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies.
  • Collaboration and Support:
    • Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices
    • Provide technical support and expertise on data-related issues and queries from other teams.
  • Best Practices and Documentation:
    • Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations.
    • Implement and promote best practices for data engineering, including coding standards, data governance, and security measures.

Qualifications

  • Experience: Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management.
  • Technical Skills: Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools.
  • Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.
  • Communication: Effective communication skills with the ability to convey technical information to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent working experience.

Compensation:

  • Base Salary: $150,000 to $180,000 
  • 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

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.

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Category: Engineering Jobs

Tags: AWS Computer Science Databricks Data governance Data pipelines Data quality Data warehouse Engineering ETL FiveTran Pipelines Python Security Spark SQL

Perks/benefits: 401(k) matching Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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