Data Engineer III - Harrison, United States - Teladoc Health
Description
Teladoc Health is a global, whole person care company made up of a diverse community of people dedicated to transforming the healthcare experience.
As an employee, you're empowered to show up every day as your most authentic self and be a part of something bigger – thriving both personally and professionally.
Together, let's empower people everywhere to live their healthiest lives.Teladoc Health, Inc.
seeks Data Engineer III (Multiple Openings) at its facility located at 2 Manhattanville Road, Suite 203, Purchase, NY Work on researching, designing, and implementing enterprise level data pipelines to transform and aggregate huge amounts of health data to support actionable, personalized, and timely health signals for patients to delivers better clinical and financial outcomes.
Production grade data pipelines is built using cutting edge big data technologies on cloud platforms like AWS & Azure using Spark, Airflow, Kafka, Jenkins, various data warehouses, delta lake, python, scala etc to support batch & real time data processing by pulling data from multiple sources, cleansing, normalizing, and landing data into central data storage for reporting systems.
Collaborate closely with Data Scientists, Analysts, Reporting Teams, devOps & Product Managers to help facilitate their needs by building flexible data models, quality checks, pipelines, automated tests, cost & performance optimizations etc.
Rotational on-calls to support the data pipelines meeting the SLA. Participate in Agile/SAFE planning around data feature requests and advocate for the best data engineering projects in priority planning.REQS:
This position requires a Bachelor's degree, or foreign equivalent, in Computer Science or a related field plus 5 years of experience as a Data Engineer, Software Engineer.
Data Architect or other occupation involving software development.In the alternative, employer will also accept Master's degree, or foreign equivalent, in Computer Science or a related field plus 3 years of experience as a Data Engineer, Software Engineer, Data Architect or other occupation involving software development.
Additionally, the applicant must have employment experience with: 1. Big data technologies such as Hadoop or Spark; 2. Software engineering fundamentals; 3. Creating and maintaining production pipelines; 4. Strong SQL development (Postgres, AWS Redshift or MySQL); 5. Scala, Java, or Python100% Telecommuting Rate of Pay:
$169,229 – 169,229 per year. Apply below.
Why Join Teladoc Health?
A New Category in Healthcare:
Teladoc Health is transforming the healthcare experience and empowering people everywhere to live healthier lives.
Our Work Truly Matters:
Recognized as the world leader in whole-person virtual care, Teladoc Health uses proprietary health signals and personalized interactions to drive better health outcomes across the full continuum of care, at every stage in a person's health journey.
Make an Impact:
In more than 175 countries and ranked Best in KLAS for Virtual Care Platforms in 2020, Teladoc Health leverages more than a decade of expertise and data-driven insights to meet the growing virtual care needs of consumers and healthcare professionals.
Focus onPEOPLE:
Teladoc Health has been recognized as a top employer by numerous media and professional organizations. Talented, passionate individuals make the difference, in this fast-moving, collaborative, and inspiring environment.
Diversity and Inclusion:
At Teladoc Health we believe that personal and professional diversity is the key to innovation.
We hire based solely on your strengths and qualifications, and the way in which those strengths can directly contribute to your success in your new position.
Growth and Innovation:
We've already made healthcare yet remain on the threshold of very big things. Come grow with us and support our mission to make a tangible difference in the lives of our Members.
As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status or pregnancy.