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Commission Databricks Data Engineer Jobs in Atlanta, 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 ...

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 Lead

Atlanta, GA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with Databricks, Snowflake, or similar distributed data processing platforms. * Experience implementing and managing CI/CD pipelines, infrastructure automation, and DevOps practices.

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... Factory, Databricks, PySpark, Python and other related services. • Build data pipelines and ...

Health Data Scientist

Atlanta, GA · On-site

$86K - $198K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, clinical ... You Have: * 3+ years of experience with PySpark, SQL, and Azure Databricks * Experience supporting ...

Senior Data Engineer

Atlanta, GA · On-site

$160K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, build support, and expand our Databricks cloud data platform for the business to enhance ... As a senior data engineer in a squad of data engineers, take input on business requirements, refine ...

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 ...

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake ...

Lead Data Engineer 2026- US

Atlanta, GA · On-site

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

Showing results 41-60

Commission Databricks Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

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

As of Aug 19, 2026, the average yearly pay for commission databricks data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

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

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

What cities near Atlanta, GA are hiring for Commission Databricks Data Engineer jobs?

Cities near Atlanta, GA with the most Commission Databricks Data Engineer job openings:

Infographic showing various Commission Databricks Data Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

$62.25 - $81.75/hr

Contractor

Re-posted 14 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