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Databricks Engineer

3 hours, 36 minutes ago
Mexico, Argentina, Brazil, Chile, Colombia, Venezuela, United States
Contract
Mid Level
Data Engineer
DevOps and Infrastructure
Agile Apache Airflow Apache Spark AWS Azure CI/CD Databricks Feature Engineering HIPAA Kafka MLflow MLOps Prefect Python SQL Terraform
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RevStar

RevStar

RevStar Consulting is a client-centric cloud consulting firm that specializes in developing modern, user-focused, cloud-native web and mobile applications. They offer custom integrations, implementations, and solutions using the latest cloud technologi...

Internet Software & Services
51-250
Founded 2009
View All Jobs 6

Description

  • Design, build, and optimize scalable ETL/ELT pipelines using Apache Spark and Delta Lake across multi-cloud environments.
  • Implement Lakehouse architectures that process structured and unstructured enterprise data.
  • Automate data ingestion, storage, monitoring, alerting, and data quality validation workflows.
  • Tune Spark jobs for performance, low latency, high throughput, and cloud cost efficiency.
  • Develop CI/CD pipelines and Infrastructure-as-Code deployments using Terraform and Databricks CLI.
  • Build feature engineering pipelines and support model training, tracking, versioning, and deployment with MLflow.
  • Operationalize secure, scalable AI/ML models for client applications.
  • Enforce data security, access controls, compliance, lineage, metadata management, and documentation standards.
  • Collaborate with architects, data scientists, engineers, and client stakeholders to align solutions with business outcomes.

Requirements

  • 3+ years of hands-on data engineering experience focused on big data processing and cloud-native architectures.
  • 2+ years of hands-on Databricks experience, including Apache Spark, Delta Lake, and MLflow.
  • Databricks Certified Data Engineer Associate certification or higher.
  • Proficiency in Python, SQL, and Spark-based frameworks.
  • Experience developing and optimizing large-scale ETL/ELT pipelines.
  • Strong understanding of Lakehouse architecture and cloud-agnostic data solutions.
  • Familiarity with CI/CD and Infrastructure-as-Code for Databricks, including Terraform and Databricks CLI.
  • Knowledge of data governance, security, and compliance practices, including GDPR, HIPAA, or SOC 2.
  • Experience in Agile, DevOps, and MLOps environments.
  • Additional Databricks certifications, streaming technologies, orchestration tools, AI/ML integration, or client-facing consulting experience preferred.

Benefits

  • Remote-first work environment for US-based employees.
  • Paid time off.
  • Medical, dental, and vision coverage for full-time W2 positions.
  • Company-sponsored 401(k) retirement plan.
  • Annual learning and development stipend for courses, conferences, and certifications.
  • Peer mentorship, coaching, and professional growth opportunities.
  • Exposure to AWS GenAI, data, and cloud technologies across diverse industries.
  • Company outings and volunteer opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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