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Director Data Engineering Jobs in Cumming, GA (NOW HIRING)

Data Engineer - GCP

Atlanta, GA ยท On-site

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to direct candidates only. We are not working with third-party agencies.

Engineering Director

Atlanta, GA ยท On-site

$200 - $250/hr

Position Description We are seeking a highly experienced Engineering Director to be a Data Solutions Architect in our Global Data Practice and Engineering & Technology team. This role requires a ...

Director, Data Product Management

Atlanta, GA ยท On-site

$224K - $234K/yr

Reporting to the Head of ACB Data & AI Product Strategy, this Director sets the vision, roadmap ... Ability to work with business and engineering leadership to guide priorities and refine ...

The Associate Director of Data Analytics provides technical and people leadership to design, build ... This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering ...

The Area Director will be responsible for leading NTI's engineering, splicing, and data center installations in the market. In collaboration with department leaders, create strategic plans aligned ...

Data Quality Engineer

Alpharetta, GA ยท Remote

$111K - $134K/yr

Our success is a direct reflection of the talented and diverse people who make a positive ... As a senior member of the data engineering team, you will be responsible for developing scalable ...

Area Director - Data Center

Atlanta, GA ยท On-site

$150 - $200/hr

The Area Director willbe responsible forleading NTI's engineering, splicing, and data center installations in the market. In collaboration with department leaders, create strategic plans aligned with ...

The Area Director will be responsible for leading NTI's engineering, splicing, and data center installations in the market. In collaboration with department leaders, create strategic plans aligned ...

Showing results 21-40

Director Data Engineering information

See Cumming, GA salary details

$65.1K

$173.7K

$226.6K

How much do director data engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for director data engineering in Cumming, GA is $173,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,200.00 and $225,700.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

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

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

What are popular job titles related to Director Data Engineering jobs in Cumming, GA?

For Director Data Engineering jobs in Cumming, GA, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Cumming, GA look for?

The top searched job categories for Director Data Engineering jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Director Data Engineering jobs?

Cities near Cumming, GA with the most Director Data Engineering job openings:

Infographic showing various Director Data Engineering job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $173,695 per year, or $83.5 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 29 days ago


Job description

Who We Are:
We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.
What We Are Looking For:
We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.
Responsibilities:
Data Pipeline Development and Management:
  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:
  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:
  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:
  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:
  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:
  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.

Qualifications:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.

Preferred Skills:
  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).

What We Offer:
  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.

Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!
This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.
This position is open to direct candidates only. We are not working with third-party agencies.
Candidates must be U.S. Citizens or Green Card holders.