Livefront

Livefront

Data Engineer (Databricks)

Remote (USA)

Sponsorship not specified$120k-$145kDetected 21 days ago
PythonJavaGoCode ReviewGitSQLDatabricksAWSGCPAzureCloud PlatformsCI/CDKafkaMachine LearningSparkdbtData EngineeringRAGLLMOpsMLOpsExcelUnityCommunicationCollaboration

About the role

  • Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable.

Responsibilities

  • Proven experience designing Lakehouse architectures - medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization - at production scale.
  • Understanding of data modeling, schema design, and query optimization.
  • Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.

Requirements

  • You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable.
  • You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
  • Your engineering principles are mature and grounded in real-world experience across various industries and scales.
  • You have an interest in and a curiosity about data platforms and the latest advances in data technology.
  • Hands-on experience with data pipeline testing, observability, and CI/CD for data - including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
  • Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
  • Have hands-on experience with alternative cloud data platforms - useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
  • Have hands-on experience with MLOps or LLMOps on Databricks - MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
  • Have experience with Java, Go, or Scala.
  • Have experience with Databricks Apps, or Lakebase - early familiarity with where the Databricks platform is heading is a strong differentiator.

Nice to have

  • Adapt your approach based on project needs - sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
  • Work within multi-cloud environments - primarily AWS and Azure - anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
  • You want to work with passionate and talented people who are always looking for ways to make things better.
  • You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
  • You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
  • You want to work on products and accounts that have outsized impact and reach.
  • You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
  • 3-5 years of data engineering experience with at least 2 years in production Databricks environments, preferably in a consulting or client delivery context.

Compensation

  • We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications.
  • We encourage candidates from all backgrounds to apply and consider all qualified applicants.
  • Don't worry, every application will be reviewed by a human.

Benefits

  • Have experience in healthcare or fintech domains.
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This listing is sourced directly from Livefront's careers page and normalized into a canonical job model.