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Senior Databricks Data Engineer Jobs in Newnan, GA

Databricks Data Engineer

Atlanta, GA · On-site

$87K - $157K/yr

The Databricks Data Engineer will enable efficient data ingestion, transformation, governance, and analytics while reducing operational complexity, improving data accessibility, and accelerating ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

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

Data Engineer Sr

Atlanta, GA · On-site

$110K - $132K/yr

Job#: 3045202 Data Engineer Sr Location: Atlanta, GA (Onsite) Role Overview The Data Engineer is ... Build and maintain Databricks notebooks, workflows, and data pipelines. * Ingest data from source ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Senior Data Engineer Experience Level: 5+ yrs Work Location: Atlanta, GA Role Overview As a Senior ... Develop data processing solutions using Azure Databricks and PySpark. * Write, optimize, and ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI ... Lead the architecture and development of scalable data platforms on Databricks * Drive the ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

As a Senior Data Engineer, you will be part of a high-performing global team delivering advanced AI ... Lead the architecture and development of scalable data platforms on Databricks * Drive the ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ...

Guidehouse seeks a Senior Data Engineer to design, develop, and optimize modern data platforms ... Implement and support cloud-native data platforms leveraging AWS, Azure, Databricks, and other ...

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Showing results 1-20

Senior Databricks Data Engineer information

See Newnan, GA salary details

$53.7K

$114.2K

$165.6K

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

As of Aug 28, 2026, the average yearly pay for senior databricks data engineer in Newnan, GA is $114,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

What are popular job titles related to Senior Databricks Data Engineer jobs in Newnan, GA?

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

What cities near Newnan, GA are hiring for Senior Databricks Data Engineer jobs?

Cities near Newnan, GA with the most Senior Databricks Data Engineer job openings:

Databricks Data Engineer

Atlanta, GA • On-site


Leidos
IT Services • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

78th of 496 rated business services

People enjoy working here

Good employer

Recommended by students


$87K - $157K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago


Job description

Description

Leidos is seeking a skilled Databricks Data Engineer to design, develop, and maintain scalable data engineering solutions on the Databricks Lakehouse Platform for the National Healthcare Safety Network (NHSN) support contract.

This position is critical to supporting NHSN’s modern data platform strategy by leveraging the Databricks Lakehouse Platform to build scalable, cloud-native data engineering solutions. The Databricks Data Engineer will enable efficient data ingestion, transformation, governance, and analytics while reducing operational complexity, improving data accessibility, and accelerating business insights. This role will help establish a modern enterprise data ecosystem capable of supporting advanced analytics, artificial intelligence, machine learning, and data-driven decision-making across the organization.

The ideal candidate will have hands-on experience building enterprise-grade data pipelines using Apache Spark, PySpark, Delta Lake, and cloud-native technologies. This role will be responsible for developing high-performance ETL/ELT pipelines, implementing modern data architecture, optimizing distributed workloads, and enabling analytics and reporting across the organization.

The successful candidate will work closely with data architects, business analysts, data scientists, and application teams to deliver reliable, secure, and scalable data solutions that support business intelligence, machine learning, and advanced analytics initiatives.

Primary Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Apache Spark.
  • Build data ingestion frameworks to integrate structured, semi-structured, and unstructured data from various enterprise systems.
  • Develop data transformation logic using PySpark and Spark SQL.
  • Design, implement, and optimize Delta Lake tables for high performance, reliability, and scalability.
  • Implement Medallion Architecture (Bronze, Silver, Gold) for enterprise data processing.
  • Optimize Spark jobs through partitioning, caching, file compaction, and performance tuning techniques.
  • Develop and maintain data workflows using Databricks Workflows, Jobs, or orchestration tools such as Apache Airflow.
  • Implement data quality, validation, reconciliation, and monitoring processes to ensure data integrity.
  • Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  • Develop reusable data engineering frameworks, utilities, and coding standards.
  • Document data lineage, transformation logic, metadata, and technical designs.
  • Participate in code reviews and implement CI/CD processes using Git and DevOps tools.
  • Ensure compliance with enterprise data governance, security, and access management standards.

Required Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related discipline.
  • 3–7+ years of experience in Data Engineering or ETL development.
  • Hands-on experience with Databricks and Apache Spark.
  • Strong proficiency in Python and PySpark.
  • Advanced SQL development skills.
  • Experience designing and developing enterprise-scale ETL/ELT pipelines.
  • Experience working with Delta Lake and Lakehouse architecture.
  • Strong understanding of distributed data processing concepts.
  • Experience with data modeling, dimensional modeling, and data warehousing.
  • Experience working with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
  • Experience with Git-based source control and CI/CD deployment processes.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications:

  • Databricks Certified Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Delta Live Tables (DLT), and Databricks Workflows.
  • Experience with Structured Streaming and real-time data processing.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:July 29, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $87,100.00 - $157,450.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

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