1

Manager Databricks Data Engineer Jobs in North Charleston, SC

Build and manage data lakes, data warehouses, lakehouse architectures, and data products ... Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies * Real-time data ...

Build and manage data lakes, data warehouses, lakehouse architectures, and data products ... Databricks, Snowflake, Synapse, Redshift, BigQuery, or equivalent technologies * Real-time data ...

SME- Data Architect

Charleston, SC

$59.75 - $76.75/hr

Provide technical leadership and mentorship to data engineers and database teams. Qualifications Technical training in Data Design, Database Architecture, or Metadata Management Platforms. Minimum of ...

Showing results 21-40

Manager Databricks Data Engineer information

See North Charleston, SC salary details

$42.5K

$123.7K

$169.3K

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

As of Aug 11, 2026, the average yearly pay for manager databricks data engineer in North Charleston, SC is $123,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,200.00 and $131,200.00 per year, depending on experience, location, and employer.

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

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

What are the most commonly searched types of Databricks Data Engineer jobs in North Charleston, SC? The most popular types of Databricks Data Engineer jobs in North Charleston, SC are:
What are popular job titles related to Manager Databricks Data Engineer jobs in North Charleston, SC? For Manager Databricks Data Engineer jobs in North Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Manager Databricks Data Engineer jobs in North Charleston, SC look for? The top searched job categories for Manager Databricks Data Engineer jobs in North Charleston, SC are:
Infographic showing various Manager Databricks Data Engineer job openings in North Charleston, SC as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $123,749 per year, or $59.5 per hour.

Apache Kafka/Nifi - Software Data Engineer

Atlas Technologies, Inc

North Charleston, SC • Hybrid

$109K - $131K/yr

Full-time

Re-posted 17 days ago


Job description

Atlas Technologies, Inc., a rapidly expanding company supporting the U.S. Military and other Government entities, is seeking a fast-learning and self-motivated Software Data Engineer with Apache Kafka/Nifi experience to design, build, and maintain the systems and infrastructure that collect, store, and transform data for the Department of Defense (DoD) and the Naval Information Warfare Center (NIWC). This effort is primarily centered around Data Engineering support for PMW160 Tactical Networks. This is a Hybrid role in North Charleston, SC.

You Will:

  • Support designing and building ETL (Extract, Transform, Load) processes and pipelines to move data from disparate sources into centralized repositories
  • Develop automated deployment pipelines and Infrastructure-as-Code templates using scripts and orchestration tools to automate repetitive data tasks, reducing manual intervention and error
  • Design and optimize data architectures to improve performance, cost-efficiency, security, and scalability
  • Design and implement large-scale processing systems and database architecture solutions (e.g., Data Lakes, Data Warehouses)
  • Provide recommendations for data engineering best practices and process improvements
  • Contribute to team objectives and support data engineering initiatives
  • Prepare technical documentation and present architecture proposals to engineering teams
  • Partner with other engineering groups to understand their data requirements and with leadership to align technical infrastructure with mission objectives

You Have:

  • U.S. Citizenship
  • Possession of and the ability to maintain a Department of Defense (DoD) Secret Level Security Clearance.
  • 3-5 years' experience supporting data engineering efforts and initiatives
  • Experience with containerization technologies (Docker, Kubernetes) is highly valued
  • Experience with helm charts and deploying managing and scaling applications
  • Working knowledge of Agile methodology and DevOps practices
  • Experience with open-source, distributed event streaming platform used to collect, process, store, and analyze data feeds (Apache Kafka)
  • Experience with data orchestration tools (Apache Nifi)
  • Experience with open-source monitoring and observability architectures to include Grafana LGTM+ Stack and Elastic (ELK) Stack
  • Experience with high-performance, open-source networking infrastructure tools (Nginx, Apache APISIX)
  • Experience with open-source, distributed event streaming platform used to collect, process, store, and analyze data feeds (Apache Kafka, Debezium)
  • Experience with data orchestration tools (Apache Nifi)
  • Experience with open-source data storage and caching services (Postgres, Redis, MinIO)
  • Strong documentation and communication skills to work effectively across technical teams
  • Collaborative mindset with ability to work in fast-paced environments
  • Self-motivated with strong problem-solving skills and attention to detail
  • Ability to manage multiple projects and priorities simultaneously
  • Bachelor's degree preferred or equivalent experience

We'd be Impressed if You Had:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years' experience in data engineering roles
  • Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, GitHub Actions)
  • Proficiency with version control systems and collaborative development tools
  • Experience with configuration management and automation platforms (Ansible, Chef, Puppet)
  • Programming/scripting experience (Python, PowerShell, Bash, Go)
  • Experience with data engineering design and visualization tools (Swagger)
  • Knowledge of microservices architecture and serverless computing

Want to hear more? Read on to see what our Team Members say about their experience:

To me, the best part about working at Atlas is the level of transparency afforded to everyone in the company. Ive had plenty of jobs where I knew what I was doing, but at Atlas there is a concerted effort to make sure we also understand why, and how our role directly impacts the overall mission. - Jess

With LEARNING as a core value, Atlas is constantly promoting ways to increase knowledge and stay at the forefront of the latest technology. Team members are regularly encouraged to continue learning and Atlas provides training resources and skills enhancement opportunities internally as well as education reimbursement if you prefer to obtain skills through outside resources or higher education. - Wendy

Atlas Tech is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, genetic information, or protected veteran status. We are committed to fostering an inclusive workplace where diverse perspectives are valued and respected.
Accessibility & Accommodations

Atlas Tech strives to make our website, www.atlas-tech.com, accessible to all users. If you need assistance completing the application process or require a reasonable accommodation due to a disability, please contact us at hr.recruiter@atlas-tech.com.
This contact information is designated for accommodation requests only and cannot be used to inquire about the status of an application. Atlas Tech is committed to providing reasonable accommodations in accordance with the Americans with Disabilities Act (ADA).

Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.