Employerdirecthealthcare
Data Engineer II
Dallas, TX - Hybrid (3x in office/week) · Mid
Sponsorship not specifiedDetected 8 days ago
PythonSQLDatabricksAWSAzureCloud PlatformsTerraformRESTSparkData EngineeringData VisualizationRecruitingHL7/FHIRCommunicationCollaboration
About the role
- 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.
- About You: - You use LOGIC in your decision making and understand that progress is critical to making change.
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).
- 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.
Requirements
- 3+ years of experience as a Data Engineer (or related role), building and supporting data pipelines in production.
- Hands-on experience with Spark, Python, and SQL to build, test, and maintain data pipelines (including writing clear, maintainable code and queries).
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- 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.
- Prior Experience working with Healthcare Information exchange standards like HL7, X12 EDI, FHIR will be helpful.
- Experience building Dashboards and visualizations using Power BI or other tools is a plus.
Nice to have
- 1+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP.
- 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 or knowledge of creating RESTful API's is a plus.
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- Paid Parental Leave
- Bring in a positive attitude and foster a culture that embraces continuous learning and Innovation.
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This listing is sourced directly from Employerdirecthealthcare's careers page and normalized into a canonical job model.