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Trainee Databricks Data Engineer Jobs in Cumming, GA

Databricks SME

Atlanta, GA · On-site

$62.25 - $81.75/hr

Partner with Data Engineering, Analytics, ML, Platform, and Security teams * Translate business ... Databricks Lakehouse Platform * Apache Spark (PySpark / Scala / Spark SQL) * Delta Lake, Delta Live ...

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

Partner with Data Engineering, Analytics, ML, Platform, and Security teams * Translate business ... Databricks Lakehouse Platform * Apache Spark (PySpark / Scala / Spark SQL) * Delta Lake, Delta Live ...

Databricks SME

Atlanta, GA · On-site

$200 - $250/hr

Partner with Data Engineering, Analytics, ML, Platform, and Security teams * Translate business ... Databricks Lakehouse Platform * Apache Spark (PySpark / Scala / Spark SQL) * Delta Lake, Delta Live ...

Sr. Data Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

... Azure Databricks and Azure Onelake. • Ensure regulatory compliance for data assets, including ... data engineering department, as a Data Engineer or Sr/lead Data Engineer in a fast-paced ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Databricks, PySpark, Python and other related services. Build data pipelines and workflows to ... Data Engineering Lead (Marketing) Delivery Management (20%) Find creative solutions to challenging ...

Data Engineer

Atlanta, GA · On-site

$73K - $112K/yr

Collaborate with the data engineering team on performance tuning, query optimization, and code ... Develop and maintain data workflows in Databricks, including notebooks, jobs, and orchestration.

Senior Data Engineer Location: Atlanta, GA (Hybrid - Onsite Tuesday-Thursday, per manager ... Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Apply AI-assisted data engineering techniques for data exploration, quality checks, schema ...

Senior Data Engineer

Atlanta, GA · On-site

$80K - $133K/yr

Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other modern technologies. * Design and implement CI/CD pipelines and DevOps best practices for data ...

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong ... Azure Data Engineer or Azure Solutions Architect certifications. * Architecture Design: Design and ...

Showing results 41-60

Trainee Databricks Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

How much do trainee databricks data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for trainee databricks data engineer in Cumming, GA is $115,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,700.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Cumming, GA?

The most popular types of Databricks Data Engineer jobs in Cumming, GA are:

What are popular job titles related to Trainee Databricks Data Engineer jobs in Cumming, GA?

For Trainee Databricks Data Engineer jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Cumming, GA look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Trainee Databricks Data Engineer jobs?

Cities near Cumming, GA with the most Trainee Databricks Data Engineer job openings:

$62.25 - $81.75/hr

Contractor

Re-posted 3 days ago


Job description

Key Responsibilities:
Architecture & Platform Design
  • Design enterprise Databricks Lakehouse architectures aligned with the Databricks Well-Architected Framework
  • Define reference architectures for batch, streaming, analytics, and ML workloads
  • Select and standardize cluster, compute, and workspace architectures
  • Design multi-workspace strategies (dev/test/prod, shared vs. isolated)
  • Ensure architectures meet scalability, availability, and performance requirements

Well-Architected Framework Alignment
Apply Databricks best practices across all pillars, including:
  • Security & Governance (Unity Catalog, IAM, data access controls)
  • Reliability & Resilience (job retries, checkpointing, failure isolation)
  • Performance Efficiency (cluster sizing, autoscaling, caching)
  • Cost Optimization (compute policies, workload separation, monitoring)
  • Operational Excellence (monitoring, automation, CI/CD, runbooks)

Implementation & Engineering
  • Lead Databricks workspace, cluster, and Unity Catalog implementations
  • Implement Delta Lake, Delta Live Tables (DLT), and Structured Streaming
  • Build and optimize ETL/ELT pipelines using Spark and SQL
  • Integrate Databricks with cloud services (S3/ADLS/GCS, IAM, Key Vault, networking)
  • Establish CI/CD pipelines for notebooks, jobs, and infrastructure

Security, Governance & Compliance
  • Implement Unity Catalog for centralized governance
  • Define data classification, lineage, and audit strategies
  • Enforce least-privilege access and secure networking patterns
  • Support compliance requirements (HIPAA, SOC 2, PCI, GDPR as applicable)

Operations & Optimization
  • Monitor platform health, performance, and cost
  • Troubleshoot production issues across jobs, clusters, and data pipelines
  • Perform workload tuning and cost-performance optimization
  • Define SLOs, alerts, and operational metrics

Collaboration & Leadership
  • Partner with Data Engineering, Analytics, ML, Platform, and Security teams
  • Translate business requirements into technical architectures
  • Provide architectural guidance and technical mentorship
  • Communicate risks, tradeoffs, and recommendations to leadership

Required Qualifications:
Experience
  • 7+ years in data engineering, analytics, or platform architecture
  • 3-5+ years hands-on Databricks experience in production environments
  • Proven experience applying the Databricks Well-Architected Framework
  • Experience designing cloud-native lakehouse architectures
  • Experience supporting mission-critical data platforms

Technical Skills
  • Databricks Lakehouse Platform
  • Apache Spark (PySpark / Scala / Spark SQL)
  • Delta Lake, Delta Live Tables, Structured Streaming
  • Unity Catalog (governance, lineage, access controls)
  • Cloud platforms: AWS, Azure, or GCP
  • Infrastructure as Code (Terraform strongly preferred)
  • CI/CD tools (GitHub Actions, Azure DevOps, GitLab, etc.)
  • Data formats and protocols (Parquet, JSON, Avro)

Certifications Required:
  • Databricks Certified Data Engineer Professional
  • Databricks Certified Professional Architect (or equivalent advanced certification)

Preferred / Additional Certifications
  • AWS Certified Solutions Architect (Associate or Professional)
  • Azure Solutions Architect Expert
  • Google Professional Data Engineer
  • Databricks Machine Learning Professional
  • Snowflake or other cloud data platform certifications

Soft Skills
  • Strong architectural decision-making and documentation skills
  • Excellent communication with technical and non-technical stakeholders
  • Ability to lead design reviews and architecture governance forums
  • Strong troubleshooting and performance-tuning mindset

Nice-to-Have Experience
  • MLflow and MLOps architectures
  • Real-time analytics and streaming pipelines
  • Multi-region or cross-account data architectures
  • Consulting or MSP delivery experience