Data Engineer

Cayaba Care

Newark, NJ, US / Onsite/Remote
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Health Care
  • Post Date: 01/25/2023
  • Website: www.cayabacare.com
  • Company Address: 5070 Parkside Ave, #3500A, Philadelphia, Pennsylvania 19131, US
  • Salary Range: $50,000 - $150,000

About Cayaba Care

The US is one of the most dangerous developed countries in which to give birth and these poor maternal-fetal outcomes disproportionately impact minority women and underserved populations across major US cities. Our team is focused on closing this gap through a combination of clinical and non-clinical services delivered in-home or in-office. Cayaba's care model focuses on integration not replacement of patients’ primary Obstetric provider and reducing any barriers to the patient receiving the recommended care.

Job Description

About Us

Cayaba Care is building support services to reimagine how we manage acute illness and improve outcomes in complex populations. The US is one of the most dangerous developed countries to give birth and these poor maternal-fetal outcomes disproportionately impact minority women and underserved populations across major US cities. 

Our team is focused on closing this gap through a combination of clinical and non-clinical services delivered in-home, virtually or in-office. Cayaba's care model focuses on integration not replacement of patients’ primary Obstetric provider and reducing any barriers to the patient receiving the recommended care.

Job Summary:

We are recruiting a Data Engineer to help design and build the data infrastructure and pipelines to drive the analytics and insights to help us get closer to our mission.

As early data hire, you will be managing complex datasets from a variety of different data sources and will design,  implement, and maintain data pipeline tooling, identifying and developing best practices for data collection, ingestion, integrity, transformation, storage, and security. You will create solutions that improve our data quality and governance and conduct deep dive investigations into issues related to incorrect and missing data. You will bring together data from a variety of internal and external sources and deliver value to our business, our patients and our partners.

Requirements for the Role:

  • Degree in quantitative disciplines
  • You are excited to design, develop and deliver customized ETL and Database solutions
  • 4+ years of professional experience building data pipelines, identifying metrics, and cleaning data. 
  • You are comfortable cleaning large data sets and visualizing key actionable insights.
  • You are a strong SQL programmer and proficient in python, with experience navigating and cleaning messy data at scale
  • You have the ability to balance competing priorities and set expectations with colleagues and stakeholders in a fast-paced environment
  • You are detail-oriented and organized, but able to see the big picture
  • You have experience with database & data warehousing technologies such as SQL, BigQuery, Redshift etc
  • You have a strong understanding of Data transformation tooling such as dbt
  • You have a willingness to experiment and take risks, and a desire to work in a tight-knit, dynamic, collaborative environment

Bonus Qualifications:

  • Experience in a high growth technology or healthcare company.
  • Experience working in a startup environment.
  • Comfort across a range of data analysis tools/languages such as Python or R
  • Preferable: experience with metabase, looker 
  • Have worked in the healthcare domain with EMR data, claims data or provider data
Our Values:
  • Healthcare is Human: We partner with the communities we serve to address the unique needs of our patients and support whole person care.
  • Pursue Excellence: We earn & build trust with our patients, partners, & each other by striving for excellence without compromising our standards.
  • Uplift: We elevate and center underrepresented voices.
  • Embrace Innovation: We are creative & resourceful in getting things done.
  • Together, not alone: Moving maternal healthcare forward is a shared responsibility that we all care deeply about.

Our Location:

We are in the Audible building in the Washington Park neighborhood, an innovation district and vibrant 24-7 streetscape.  Same building as Rutgers Business school and are walking distance to Whole Foods/lots of restaurants, and Newark Penn/Broad street stations.  We provide parking and company-sponsored activities in Newark!   Read more about Audible/Newark - https://www.audible.com/about/impact/our-newark-neighborhood

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