Principal Data Engineer (Remote PT)


Remote / Lisbon, PT
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 06/21/2021
  • Website:
  • Company Address: 330 W 38th St, New York, 10018, US

About LetsGetChecked

Leveraging home lab testing and teleconsult to drive improved remote care

Job Description

LetsGetChecked is becoming a global leader in personal health testing. Our medical technology platform provides connectivity between customers and our global network of laboratories. We are enabling customers to order, manage and track their own clinical outcomes through a personal online account.

Our Data Engineers take pride in designing and developing scalable data solutions that drive our core mission of empowering individuals, corporations, universities, public sector, and health insurance companies to use technology in a simple but powerful way to give them greater control of their healthcare needs. This role supports our products, operations, and growth with the data tools and solutions to meet market demand. You will be at the intersection of our data, engineering, and cloud computing environments. You will be deeply experienced in at least two, passionate about all three, and conversant with stakeholders in all.

We are looking for an exceptional Principal Data Engineer who takes pride in building scalable solutions that will help drive strategic data programs for our healthcare customers. A successful candidate in this role should have a proven track record of providing end-to-end analytical solutions and have the ability to implement and integrate them with other engineering solutions.

Principal Data Engineers are recognized as engineering authorities. They have extensive practical experience gained over many years from working as a Data Engineer and make a lasting impact on our technology, products, and the company itself. We expect our Principal Data Engineers to work on our hardest problems, to drive excellence in quality and solution design, to be creative and innovative, to simplify complex problems, and ensure alignment with our business objectives. Leadership and communication skills are crucial in their work.

Position Description:

    You will be a highly experienced Data Engineer, recognized as an engineering authority, who can lead our most critical strategic technical initiative
    Research, develop and apply new innovative data technologies to our healthcare products
    Be an advocate of state-of-the-art technology and engineering approaches
    Build new products and solutions that transform our industry
    Implement and maintain modern data architectures
    Appreciate data quality, data reliability and data efficiency
    Build scalable solutions that provide data to downstream Data Science, Insights, Marketing, and Business teams across the organization
    Write clean, maintainable code using the best industry standards for mission critical services
    Work with autonomy to find solutions to complex data problems and be flexible and responsive to changing requirements and priorities
    The ability for critical thinking outside your immediate sphere of responsibility
    Have experience with commercial products and environments (not just internally focused)
    Have a collaborative working style and contribute to the development of our technical communities across the company


What we expect from you:

    BS or MS in Computer Science (or related technical discipline) or equivalent industry experience
    10+ years’ experience as a data engineer with the curiosity and desire to learn new technologies, approaches, libraries and languages
    Experience implementing ETL / ELT solutions end to end
    Expertise optimising and maintaining data architectures, data pipelines and data sets
    Knowledge of integrating business intelligence, data science and ML capabilities into products
    Understanding and experience of working with data at various stages - at rest (streaming), in various forms (structured, semi-structured) and data in doubt ( uncertainties with the data)
    Good understanding of event driven architectures
    Experience of complex data management environments (e.g. Kafka, Spark, Elastic, SQL Server, T-SQL, NoSQL, Hadoop, Redshift, S3 etc)
    Knowledge of the AWS ecosystem
    An excellent communicator (in English), proactive and self-sufficient, with strong organizational, time management and problem-solving skills
    Proven ability to breakdown and clearly define problems
    Ability to establish credibility and build relationships at all levels
    Passion for best quality practice and continuous professional development

Our preferred Qualifications:

    Experience in geo-distributed Cloud environments (preferably AWS)
    Exposure working with high-traffic public-facing websites
    Some knowledge of OOP Design Patterns, Distributed Systems, Enterprise Application Integration, Service Oriented Architectures
    Ability to articulate complex technical concepts in ways that can be understood by a variety of audiences
    Knowledge of serverless technologies like AWS Lambda
    DevOps and Continuous Integration and Continuous Delivery (CI/CD) knowledge
    Information Security and Data Compliance knowledge
    US Healthcare experience

    Experience with container technologies, e.g. Docker, Kubernetes

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.