Data Engineer

at  Lantern Care

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.

QUALIFICATIONS

• Bachelor’s degree in related field preferred. Equivalent combination of education and experience may be substituted in lieu of degree. A master’s degree in engineering, analytics, data science or related field a plus.
• 3+ years of performing data engineering/ETL operations, preferably having experience with Azure Data Factory
• 3+ years of experience contributing to and working with enterprise data warehouses, preferably has experience with Snowflake
• 2+ years of experience with Big Data technologies including Spark, PySpark, Python, and varying types of Azure Storage
• 5+ years of experience in SQL and be able to write complex logic using SQL as part of ETL, and use SQL effectively to perform complex data analysis and discovery
• 1+ years of experience building reports with Power BI, Tableau or similar experience.
• Exposure to Azure and Azure Data Factory
• Exposure to an Enterprise Data Lake
• Demonstrate strong organization skills and detail-oriented
• Experience with CMD shell and PowerShell
• Experience with large-scale, complex data environments
• Ability to self-motivate and meet deadlines
• Intense desire to learn
• Ability to express complex technical concepts effectively, both verbally and in writing
• Ability to multi-task in a fast-paced, changing environment

• Ability to maintain confidentiality

  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

• Develops data pipelines to ingest, move, transform, and integrate data in a secure and performant manner while ensuring and enforcing general data governance principals.
• Explores new technologies and data processing methods to increase efficiency, performance, flexibility, and usefulness to the Enterprise’s data.
• Document requirements and translate into proper system requirements specifications using high-maturity methods, processes and tools.
• Execute and coordinate requirements management and change management processes. Participates as a member of and leads development teams.
• Designs, prepares and executes unit tests.
• Completes development to implement complex components.
• Participates in cross-functional teams.
• Designs, prepares and executes unit tests.
• Represents team to clients.
• Demonstrates technical leadership and exerts influence outside of immediate team.
• Develops innovative team solutions to complex problems.
• Contributes to strategic direction for teams.
• Applies in-depth or broad technical knowledge to provide maintenance solutions across one or more technology areas (e.g. Power BI and Power App development).
• Integrates technical expertise and business understanding to create superior solutions for clients.
• Consults with team members and other organizations, clients and vendors on complex issues.
• Special projects as requested
• Performs other duties as assigned
  Location: Dallas, Texas | Hybrid