Data Engineer II

Lantern; Dallas (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Short-term and long-term disability

Life insurance

401(k) with company match

Paid time off

Paid parental leave

Job summary

Lantern is seeking a Data Engineer II in Dallas, TX to develop and maintain robust data pipelines. You will collaborate with cross-functional teams, focusing on data ingestion and quality. The ideal candidate has 3+ years of experience in data engineering, strong skills in Spark, Python, and SQL, and familiarity with cloud platforms like Azure. The position offers comprehensive benefits including medical, dental, vision insurance, and a 401(k) plan with company match.

Qualifications

• 3+ years of experience as a Data Engineer building and supporting data pipelines.
• 1+ years of experience with cloud infrastructure on Azure, AWS, or GCP.
• Hands-on experience with Spark, Python, and SQL.

Responsibilities

• Design and implement scalable data pipelines.
• Collaborate with teams to improve data models.
• Write unit and integration tests for new features.

Skills

Data pipeline development

Cloud infrastructure (Azure, AWS, GCP)

Spark

Python

SQL

Data quality management

RESTful APIs

Healthcare Information Exchange standards

Tools

Microsoft SQL Server

Terraform

Power BI

Job description

About Lantern

Lantern is the specialty care platform connecting people with the best care when they need it most. The company curates a Network of Excellence of top specialists and provides care teams that guide patients through the healthcare journey.

Position Overview

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.

Location

Hybrid – at least 3 days per week 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 the Data Engineering Manager and Product teams to build data models that 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).
• Support production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to the technology roadmap, peer reviews, and formulate standards and best practices.
• Bring 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.
• 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 with Healthcare Information Exchange standards like HL7, X12 EDI, FHIR is helpful.
• Experience or knowledge of creating RESTful APIs 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‑term and long‑term disability
• Life insurance
• 401(k) with company match
• Paid time off
• Paid parental leave

Equal Employment Opportunity

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.