Analytics Engineer: Build Durable Data Models (Hybrid)

Lantern; Dallas (TX); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Short & Long Term Disability

Life Insurance

401k with company match

Paid Time Off

Paid Parental Leave

Job summary

Lantern is seeking an Analytics Engineer in Dallas with 3–6 years in analytics engineering to build durable data products and support a distributed analytics community. You will craft scalable models, ensure data quality, and enable self‑serve insights across teams.

Hybrid role, 3 days in the office weekly in Dallas, TX. You will collaborate with Analysts, Finance, Operations, and Strategy to deliver reliable analytics, while applying SDLC practices and maintaining documentation for broad

Qualifications

• 3–6 years of analytics engineering or related data roles.
• Strong SQL skills with production data models.
• Hands-on with dbt Core or Cloud.
• Experience with Databricks or Snowflake.
• Experience handling regulated data (PII/PHI).
• Ability to clearly communicate data changes to non-technical partners.
• Experience working with large datasets and data validation.
• Proficiency in Microsoft Excel for data analysis and reporting.

Responsibilities

• Design and maintain fact and dimension models optimized for dashboards and self-service analytics.
• Explore and onboard new data sources, developing Bronze and Silver layer models.
• Implement single source of truth KPI logic in Silver and Gold models.
• Maintain documentation to support adoption and usage.
• Apply SDLC practices including Git, code reviews, and QA/UAT.
• Collaborate with analysts and leaders to translate analytics needs into shared models.
• Lead analytics releases with regression testing and post‑release validation.
• Triage data quality and performance issues; escalate when needed.

Skills

SQL

dbt

Databricks/Snowflake

Regulated data

Large datasets

Excel

Communication

Job description

Lantern is seeking an Analytics Engineer in Dallas with 3–6 years in analytics engineering to build durable data products and support a distributed analytics community. You will craft scalable models, ensure data quality, and enable self‑serve insights across teams.

Hybrid role, 3 days in the office weekly in Dallas, TX. You will collaborate with Analysts, Finance, Operations, and Strategy to deliver reliable analytics, while applying SDLC practices and maintaining documentation for broad