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Databricks Data Engineer Jobs in Cumming, GA (NOW HIRING)

Scicom Infrastructure Services, Inc.

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 ...

Scicom Infrastructure Services

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 ...

Scicominfra

Databricks SME

Atlanta, GA · On-site

$180 - $240/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 ...

Scicom Infrastructure Services, Inc.

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 ...

CirrusLabs

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 ...

ACI Infotech

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 ...

Publicis Groupe Holdings B.V

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.

Ubertal Inc

Senior Data Engineer

Atlanta, GA · On-site

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

Aimpoint Digital

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 ...

Aimpoint Digital

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 ...

Guidehouse

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 ...

Sarian, Inc.

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 ...

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Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Cumming, GA

Databricks Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

How much do databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for 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 a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

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, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 Databricks Data Engineer jobs in Cumming, GA?

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

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

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Cumming, GA as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 90% In-person, 2% Hybrid, and 8% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

Databricks SME

Scicom Infrastructure Services, Inc.

Atlanta, GA • On-site

$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

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