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Senior Databricks Data Engineer Jobs in Mississippi

Hancock Whitney Bank

Data Architect 2

Whitney, MS

$59.25 - $76.25/hr

Experience with Cloud Data storage technologies like Snowflake, Databricks, Azure, AWS or similar ... Determines and resolves problems with other systems analysts, programmers, and systems users.

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Senior Databricks Data Engineer information

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 Mississippi?

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

What job categories do people searching Senior Databricks Data Engineer jobs in Mississippi look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Mississippi are:

What cities in Mississippi are hiring for Senior Databricks Data Engineer jobs?

Cities in Mississippi with the most Senior Databricks Data Engineer job openings:

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Mississippi as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Data Engineer

Radiance Technologies

Stennis Space Center, MS • On-site

$81K - $110K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago

Job description

Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies. Employee ownership, generous 401(k) and profit sharing, health/dental/life/vision insurance benefits, engaging assignments, educational reimbursement, competitive salaries, and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
The Senior Data Engineer will advance the capabilities of the Naval Oceanographic Office (NAVOCEANO) and Commander, Naval Meteorology and Oceanography Command (CNMOC) by developing, integrating, administering, and optimizing software applications and data platforms at NASA's Stennis Space Center. This position will support the design, development, and maintenance of mission-critical software solutions, data pipelines, data storage architectures, and analytics capabilities. Majority of tasking is performed on-site.
Required Qualifications
  • B.S. in Computer Science, Software Engineering, Data Engineering/Data Science, or a related field.

  • Active Secret Clearance or the ability to obtain an Interim Secret Clearance prior to start.

  • 7-10+ years of experience with:

  • Algorithmic and software application development.

  • Structured programming development using Configuration Management (CM) tools such as Git or Subversion.

  • Python programming experience with an understanding of modern data processing libraries such as Polars and/or Pandas, Pydantic and related toolsets.

  • XML and JSON formats as well as interaction with libraries that support interaction with these formats.

  • Markdown, HTML, CSS, and JavaScript experience.

  • Understands data velocity, volume, variety, and veracity concepts.

  • Experience working with structured and unstructured datasets in operational environments.

  • Strong understanding of data modeling, data integration, and database design principles.

  • Experienced with the use of Artificial Intelligence (AI) to help accelerate performance.

Preferred Qualifications
  • Security+ Certification.

  • Experience designing, developing, and maintaining data pipelines and ETL/ELT processes using programming skills.

  • Experience building and maintaining large-scale data ingestion, transformation, and analytics workflows.

  • Experience with data orchestration and automation tools.

  • Knowledge of data governance best practices.

  • Strong background in working with multi-parameter, time-based data series with preference towards Meteorology and Oceanography datasets.

  • Experienced in ESRI Technologies such as Portal for ArcGIS, ArcGIS Server, ArcGIS Pro / Desktop tools and ESRI Workflow Manager.

  • Experience with Cybersecurity best practices and DISA STIG checklists.

  • Experience with container technologies and cloud platforms.

  • Knowledge of RDBMS databases such as PostgreSQL with PostGIS, SQL Server, or Oracle.

  • Experience in integrating geospatial data systems with enterprise data platforms and APIs such as NOAA's Environmental Research Division's Data Access (ERDDAP) platform.

Responsibilities
  • Design and maintain scalable data architectures, pipelines, and automated workflows.

  • Integrate data from diverse operational, scientific, and geospatial sources into enterprise systems.

  • Ensure data quality, integrity, availability, and security across the data lifecycle.

  • Collaborate with scientists, analysts, software developers, and mission stakeholders to deliver data-driven capabilities Help lead the design, development, testing, deployment, and sustainment of software applications supporting NAVOCEANO and CNMOC missions.

  • Support modernization efforts involving cloud technologies, geospatial systems, and advanced analytics platforms.

  • Mentor junior engineers and contribute to technical strategy and best practices.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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