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Urgent! Data Engineer — Databricks Job Opening In WorkFromHome – Now Hiring Right Balance ®

Data Engineer — Databricks



Job description

Right Balance® is a Los Angeles‑based technology talent firm seeking a Data Engineer – Databricks to build a lakehouse for a gaming client.

About the Company

Right Balance® serves innovative companies in the US, recently named among LA’s top 50 companies to watch.

The firm helps studios, publishers, and producers accelerate with reliable, scalable data platforms.

Job Summary

This role is for a hands‑on Data Architect with expertise in Databricks, AWS‑native services, and lakehouse design.

The engineer will design and implement a new Databricks Lakehouse instance, build data ingestion pipelines, and integrate AWS services to support real‑time and batch data workflows.

Key Responsibilities

  • Design and deploy a new Databricks Lakehouse instance tailored to the client’s product‑level data needs.

  • Architect and implement robust data ingestion pipelines using Spark (PySpark/Scala) and Delta Lake.

  • Integrate AWS‑native services (S3, Glue, Athena, Redshift, Lambda) with Databricks for optimized performance and scalability.

  • Define data models, optimize query performance, and establish warehouse governance best practices.

  • Collaborate cross‑functionally with product teams, data scientists, and DevOps to streamline data workflows.

  • Maintain CI/CD, preferably using Databricks for data pipelines with GitOps and Infrastructure‑as‑Code.

  • Monitor data jobs and resolve performance bottlenecks or failures across environments.

Job Details

Length: 1+ Year.

Client: Gaming Giant.

Availability: Full‑time.

Benefits

  • Learn and evolve your skills using the latest technology tools.

  • Work with high‑performing peers who challenge the status quo.

  • 100% remote; work from anywhere.

  • Work on challenging problems that positively impact many people.

Required Qualifications

  • Upper‑intermediate to fluent speaking and writing English.

  • 4+ years of full‑time hands‑on Databricks experience.

  • 4+ years of full‑time hands‑on PySpark/SQL experience.

  • 4+ years of full‑time hands‑on AWS (Lambda, Glue, Redshift, Athena, etc.) experience.

  • 3+ years of full‑time hands‑on Snowflake experience.

  • 3+ years of full‑time hands‑on CloudWatch/Datadog/New Relic experience.

  • 2+ years of full‑time hands‑on Databricks/Terraform/GitHub/Azure DevOps experience.

  • Knowledge of IAM and VPC configuration for secure cloud integrations.

  • Experience setting up lakehouse design patterns for mixed workloads.

Nice to Haves

  • Experience supporting gaming or real‑time analytics workloads.

  • Familiarity with Airflow, Kafka, or EventBridge.

  • Exposure to data privacy and compliance practices (GDPR, CCPA).

  • Bachelor’s degree in Computer Science or equivalent.

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Required Skill Profession

Arquitectura Y Diseño De Software



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