Databricks Engineer

Work from home Full-time role Hiring

Position Overview:

ShyftLabs is seeking a skilled Databricks Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsiblities

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.

Basic Qualifications

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

5+ 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.

Preferred Qualifications

Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).

Hands-on experience with MLflow, Feature Store, or Databricks SQL.

Exposure to Kubernetes, Docker, and Terraform.

Experience with streaming data architectures (Kafka, Kinesis, etc.).

Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).

Prior experience working with retail, e-commerce, or ad-tech data platforms.

Additional Information

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

Apply to this Job

Apply

Databricks Engineer

Job Responsiblities

Basic Qualifications

Preferred Qualifications

Additional Information

You might like

Databricks Architect

Head of Operations - Web3 (External)

Senior Sales Engineer

Senior Reliability Engineer

Senior Software Engineer, Backend - Patient Identity & Privacy

Fiber Optic Technician

Animal Care Technician

Senior Sales Engineer

Senior Product Operations Lead

Platform Engineer - United States

Client Success Consultant - Assistant Solutions

Travel Nurse RN - Telemetry PCU - Progressive Care Unit - $1,880 per week

Experienced Customer Service Representative – Remote Part-Time Opportunities at arenaflex

Executive Operations Assistant

Remote Inpatient Coding Specialist (Join Our Team and Earn a $5,000 Sign-On Bonus!)

Certified Medical Assistant

Part Time Customer Service Representative

Nurse Practitioner - Weekdays 9:00am - 6:00pm PST - Telehealth Primary Care

Director, eCommerceMerchandising

Remote Customer Service Representative – Airline Passenger Support & Travel Experience Specialist at arenaflex