Senior Data Engineer - Hybrid (Dallas) - Data Pipelines

Lantern; Dallas (TX); Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Short & Long Term Disability

Life Insurance

401k with company match

Flexible Time Off

Paid Parental Leave

Job summary

Lantern is seeking a Senior Data Engineer to join our Data Engineering team in a hybrid role based in Dallas, TX. You will design data pipelines, ingest and transform data, and build scalable solutions across analytics and business verticals.

You will collaborate with stakeholders, implement data export capabilities, and contribute to architecture decisions while upholding data integrity and quality. Healthcare data familiarity is a plus.

Qualifications

• 5+ years of experience as a Data Engineer focusing on enterprise data solutions.
• 3+ years of cloud infra experience on Azure/AWS/GCP.
• Strong SQL skills and Python; discuss design patterns.
• Experience with big data technologies (Spark, Databricks) and data pipelines.
• Experience with Data Lake creation and data quality features.
• Knowledge of HL7, X12 EDI, or FHIR is a plus.

Responsibilities

• Design and implement robust, scalable data pipelines.
• Implement ingestion, transformation, and data quality features for analytics and business needs.
• Collaborate with Data Engineering Manager and Product on data models.
• Design, develop, and maintain data export solutions to external systems.
• Contribute to design docs, evaluate technologies, and run PoCs.
• Support production jobs and mitigate issues in a timely manner.
• Write unit, integration, and functional tests for new features.
• Contribute to Technology Roadmap, PR reviews, and establish standards.
• Promote a culture of continuous learning and innovation.

Skills

Python

SQL

RESTful APIs

Power BI

Tools

Terraform

Databricks

Spark

Job description

Lantern is seeking a Senior Data Engineer to join our Data Engineering team in a hybrid role based in Dallas, TX. You will design data pipelines, ingest and transform data, and build scalable solutions across analytics and business verticals.

You will collaborate with stakeholders, implement data export capabilities, and contribute to architecture decisions while upholding data integrity and quality. Healthcare data familiarity is a plus.