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Senior Data EngineerLantern • Dallas, Texas, United States
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Senior Data Engineer

Lantern
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
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About

Job Description Job Description 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. 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 is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building Data Pipelines, batch processing frameworks, and Data Modeling techniques to facilitate seamless Data Ingestion and Exports. In this role you will collaborate with various technology and business stakeholders to deliver data solutions that meet user needs. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized 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: 5+ years of experience as a Data Engineer, with a focus on building enterprise data solutions. 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP. Strong experience with Python, with ability to discuss design patterns; strong SQL skills. Expert in Microsoft SQL Server (preferred) or other relational databases. Expertise with SQL, stored procedures, triggers, 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. Prior experience in building data pipelines that are scalable, reliable and fault tolerant while delivering data integrity and code quality. Experience in building data lakes to support high speed querying by the end users. 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 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.
  • Dallas, Texas, United States

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