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Lantern

Y Combinator — Backed by Y Combinator
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Data Engineer II

Open 54d posting dated 4 days ago

Summary

Build and maintain scalable data pipelines and cloud infrastructure to support analytics and healthcare data exchange for a specialty care platform.

About Lantern

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.

Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate will have solid experience building data pipelines, working with batch processing frameworks, and applying data modeling techniques to support reliable data ingestion and exports. In this role you will collaborate with technology and business stakeholders to deliver data solutions that meet user needs. The candidate should demonstrate an engineering mindset and an interest in developing enterprise-scale solutions using modern cloud platforms, databases, data integration/orchestration tools, and big data technologies.

Location: Hybrid - at least 3 days/wk in our Dallas, TX office

Responsibilities:

  • Design and implement robust, scalable, and high-performance data pipelines
  • Implement Data Ingestion, transformation, and Data Quality features to support Application Engineering, Analytics, and various Business Verticals across the organization.
  • Collaborate with Data Engineering Manager, and Product in building data models to improve reliability and interpretability of data for analytical and business needs.
  • Design, develop, and maintain robust data export solutions to facilitate the efficient transfer of data to external systems and platforms.
  • Actively contribute to the creation of design documents, assess technologies, and conduct Proof of Concepts (PoCs).
  • Experience supporting production jobs and mitigate issues in a timely manner.
  • Write unit, integration, and functional tests for new features.
  • Contribute to the Technology Roadmap, PR Reviews and formulate standards/best practices.
  • Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.

Qualifications:

  • 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production.
  • 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
  • Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries).
  • Experience with Microsoft SQL Server (preferred) or other relational databases, including query optimization and performance tuning.
  • Experience working with big data technologies such as Spark (preferred), Databricks, or similar frameworks.
  • Experience using Infrastructure as Code tools such as Terraform (or similar) to provision and manage cloud resources.
  • Experience building data pipelines that are scalable and reliable, with attention to data quality, testing, and operational support.
  • Experience contributing to data lake or lakehouse solutions to support analytics and downstream consumption.
  • Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
  • Experience or knowledge of creating RESTful API’s is a plus.
  • Experience building Dashboards and visualizations using Power BI or other tools is a plus.

.Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Short & Long Term Disability
  • Life Insurance
  • 401k with company match
  • Paid Time Off
  • Paid Parental Leave

About You:

  • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
  • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
  • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
  • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
  • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
  • You thrive in a Team Environment. Collaboration is key in innovation and creating change.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.

If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.

Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Please provide an active link to your LinkedIn Profile: written answer
  • If you have a personal Git Repository that you'd be willing to share, please provide the link here: written answer
  • Are you authorized to work in the US? choose one
  • Will you now or in the future require sponsorship for employment? choose one
  • Are you willing to do a Python focused Take Home Coding project as a part of the process? choose one
  • Are you currently bound by any Non - Compete / Non Solicitation Agreement that would prevent you from working for Lantern or in the Healthcare Industry? choose one
  • Which of the following office work arrangements are you willing to consider? choose one
  • Which type of employment arrangement are you looking for? choose one
  • What are your base salary expectations? choose one
  • How many years of hands-on coding experience do you have, in a Data Engineering position, using Python? choose one
  • How many years of hands-on experience do you have with Databricks or Spark/PySpark? choose one
  • Describe a specific data pipeline failure or data quality issue you personally debugged in production. What was the first symptom, what did you initially suspect, and what did it actually turn out to be? What tools or queries did you use to track it down, and what specific change did you make to the pipeline or monitoring afterward to prevent it recurring? Please share a real example, not a general description of your process. (150–200 words) written answer
  • OPTIONAL: How many years experience do you have the Healthcare / HealthTech Industry? choose one · optional
  • OPTIONAL: If you've worked in Healthcare / HealthTech and you have specific experience with the Healthcare Data Standards (EDI / HIE - X12, 83x, 27x, HL7, and/or FHIR), please indicate how many years experience: choose one · optional
  • Were you referred to Lantern? choose one
  • If you were referred by an employee, please indicate who. optional
  • Please indicate your relationship to your referral (if applicable). optional
  • Please select your current state of residence (if in the U.S.): choose one · optional

See also

Python jobs 94,520 jobs Data Engineering jobs 10,584 jobs AWS jobs 63,604 jobs Terraform jobs 20,599 jobs Azure jobs 51,879 jobs