Databricks Engineer

Remote · USA Full-time New today

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 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.

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 Responsibilities

Basic Qualifications

Preferred Qualifications

Additional Information

Related roles

Software Engineer (UI Developer)

Group Product Manager, Patient Experience

Staff IT Lead, Employee Lifecycle

Senior Network Engineer

Senior IT Technician

Senior IT Engineer

Facilities Engineering Manager

Lead Mechanical Engineer, Cryo/RF

Mechanistic Biologist

Account Executive, Commercial Sales - Mid-Atlantic Region

Dynamic Online Chat Support Representative – Real‑Time Customer Interaction, Issue Resolution, and Upselling Specialist at arenaflex

Remote Sales Representative -Entry Level Full Time & Part Time

Experienced Remote Customer Service Representative - Delivering Exceptional Support and Service to Clients Across the United States

Experienced Online Chat Representative – Entry-Level Opportunity in the Automotive Industry at arenaflex in UAE

Experienced Part-Time Data Entry Clerk – Flexible Remote Work Opportunities

Experienced Live Chat Specialist – Work from Home Opportunity at blithequark

[Remote/WFM] (Entry Level Remote Jobs) Delta Airlines Careers

Loan Closer - Support

Integration Architect – Director

MDU Sales Specialist