Senior Data Engineer

Job Summary 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 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 team 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 proofs of concept (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, PR reviews, and formulate standards and 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, focusing on building enterprise data solutions. 3+ years of experience with cloud and infrastructure on Azure (preferred), AWS, or GCP. Strong experience with Python, with the ability to discuss design patterns; strong SQL skills. Expertise 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 building data pipelines that are scalable, reliable, and fault tolerant while delivering data integrity and code quality. Experience building data lakes to support high‑speed querying by end users. 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 will be 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 Vision Insurance Short & Long Term Disability Life Insurance 401(k) with company match Paid Time Off 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 the provision of employment opportunities and benefits. #J-18808-Ljbffr Employer Direct Healthcare