Databricks Engineer: Spark, Lakehouse & Cloud Pipelines

Medium; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Insurance package

Learning & development

Job summary

ShyftLabs is seeking a skilled Databricks Engineer to design, build, and optimize big data solutions on the Databricks Unified Analytics Platform. You will work with Spark, SQL, Python and cloud environments to deliver scalable data architectures for Fortune 500 clients.

The role emphasizes collaboration with cross-functional teams, strong emphasis on performance, data quality, and governance, and deploying CI/CD pipelines to automate workflows.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 3+ years of hands‑on experience with Databricks and Apache Spark.
• Proficiency in SQL, Python, or Scala for data processing and analysis.
• Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
• Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
• Experience with CI/CD tools and DevOps best practices.
• Familiarity with data security, compliance, and governance best practices.
• Strong problem‑solving and analytical skills with an ability to work in a fast-paced environment.

Responsibilities

• Design, implement, and optimize big data pipelines in Databricks.
• Develop scalable ETL workflows to process large datasets.
• Leverage Apache Spark for distributed data processing and real-time analytics.
• Implement data governance, security policies, and compliance standards.
• Optimize data lakehouse architectures for performance and cost-efficiency.
• Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
• Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
• Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
• Ensure data integrity, quality, and reliability in all pipelines.

Skills

Databricks

Apache Spark

SQL

Python

Scala

Cloud platforms (AWS/Azure/GCP)

ETL pipelines

CI/CD

Data governance

Security/compliance

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Kubernetes

Docker

Terraform

Databricks SQL

MLflow

Job description

ShyftLabs is seeking a skilled Databricks Engineer to design, build, and optimize big data solutions on the Databricks Unified Analytics Platform. You will work with Spark, SQL, Python and cloud environments to deliver scalable data architectures for Fortune 500 clients.

The role emphasizes collaboration with cross-functional teams, strong emphasis on performance, data quality, and governance, and deploying CI/CD pipelines to automate workflows.