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Databricks Software Jobs in Arkansas (NOW HIRING)

WorkNovas LLC

Python Databricks Developer

Bentonville, AR · On-site

$44 - $60.75/hr

Python Databricks Developer Location: Bentonville, AR - (On-Site) Exp: 8-10 Client: UST Global ... IT/software development experience preferred. * Strong communication skills and the ability to ...

Walmart

Staff Software Engineer

Bentonville, AR · On-site

Using big data processing engine Apache Spark and its relevant platforms like Databricks, Amazon EMR or GoogleDataProc; Agile software development methodologies and toolsGithubor Azure DevOps; Coding ...

Walmart

Data Engineer III

Bentonville, AR · On-site

$90K - $180K/yr

Deploys software to production servers. Contributes code documentation,maintainsplaybooks, and ... Build ETL Pipelines using Apache Spark, Scala,PySpark, Azure-databricksand Google-databricks;

First Orion Corp.

Data Platform Engineer

North Little Rock, AR · On-site

$109K - $131K/yr

Develop and maintain Databricks Asset Bundles and CI/CD pipelines for repeatable deployments across environments * Configure and support workspaces, compute policies, SQL warehouses, workflows, jobs ...

New

First Orion Corp

Data Platform Engineer

North Little Rock, AR · On-site

$109K - $131K/yr

Develop and maintain Databricks Asset Bundles and CI/CD pipelines for repeatable deployments across environments * Configure and support workspaces, compute policies, SQL warehouses, workflows, jobs ...

New

Everseen

$98K - $117K/yr

Model, store and serve large volumes of data on Snowflake and Databricks, and keep it reliable ... Comfortable with the software engineering practices that keep data systems maintainable. * Solid ...

Murphy USA

Data Engineer I

El Dorado, AR · On-site

$101K - $122K/yr

Python, SQL, PySpark) Experience in the use of Infrastructure as Code tools (Databricks Asset ... Demonstrated understanding of core technology disciplines, including but not limited to software ...

Murphy Oil USA

Data Engineer I

El Dorado, AR · On-site

$101K - $122K/yr

Python, SQL, PySpark) Experience in the use of Infrastructure as Code tools (Databricks Asset ... Demonstrated understanding of core technology disciplines, including but not limited to software ...

Ohio State University

... software engineering and data engineering that supports translational and biomedical research ... Databricks, Fabric) and high-performance computing (HPC) or supercomputing environments ...

Pwc

AI Engineer

Little Rock, AR · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

Walmart

Senior Data Engineer

Bentonville, AR · On-site

$107K - $180K/yr

Deploys software to production servers. Contributes code documentation,maintainsplaybooks, and ... Databricks, and Apache Hive; Developing ETLs using frameworks (Apache Hive, MapReduce, or Apache ...

Ohio State University

Databricks, Fabric), and high-performance computing (HPC) or supercomputing environments; design ... Requirements: Bachelor's degree in Computer Science, Data Science, Software Engineering, Data ...

Pwc

AI Engineer

Little Rock, AR · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ...

Pwc

AI Engineer

Fayetteville, AR · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Utilizing AI ...

Textron Inc.

2027 Sales Analyst

Augusta, AR · On-site

Actively participate in SAP, Salesforce, Power BI, Databricks testing, training and integration. * Data mine through various software to support reporting requests from senior leadership. * Create ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Arkansas?

For Databricks Software jobs in Arkansas, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Arkansas look for?

The top searched job categories for Databricks Software jobs in Arkansas are:

What cities in Arkansas are hiring for Databricks Software jobs?

Cities in Arkansas with the most Databricks Software job openings:

Databricks Software jobs near you

Python Databricks Developer

Bentonville, AR • On-site

WorkNovas LLC
See more jobs at WorkNovas LLCexternal

$44 - $60.75/hr

Contractor

Posted 12 days ago

Job description

Job Title: Python Databricks Developer

Location: Bentonville, AR - (On-Site)

Exp: 8-10

Client: UST Global/Walmart

Job Summary

We are looking for a skilled Python Databricks Developer with strong hands-on experience in Python, Databricks, data processing, and data analytics. The ideal candidate will have experience building and working with Databricks pipelines and notebooks, along with hands-on exposure to data synthesis/generation for testing purposes.

The candidate should be comfortable working independently in a fast-paced environment and should have strong problem-solving and analytical skills.

Key Responsibilities

  • Develop and maintain Python-based data processing and analytics solutions.
  • Build, enhance, and troubleshoot Databricks notebooks and data pipelines.
  • Perform data processing, transformation, validation, and analysis using Python and Databricks.
  • Develop synthetic/generated datasets for application and data testing purposes.
  • Work with large datasets and ensure data quality, accuracy, and consistency.
  • Analyze data requirements and translate them into scalable data-processing solutions.
  • Collaborate with development, QA, data engineering, and business teams to understand data needs.
  • Debug and optimize Python scripts, Databricks jobs, and data pipelines.
  • Support testing activities by creating and managing test data.
  • Document technical solutions, data processes, and pipeline workflows.
  • Work independently while managing multiple priorities in a fast-paced environment.

Required Skills

  • Strong hands-on experience with Python.
  • Mandatory experience with Databricks.
  • Hands-on experience with Databricks notebooks and pipelines.
  • Experience with data synthesis / synthetic data generation for testing.
  • Strong understanding of data analytics and data processing.
  • Experience working with data transformation and manipulation.
  • Strong analytical and problem-solving skills.
  • Ability to work independently with minimal supervision.

Preferred Skills

  • Experience with PySpark.
  • Knowledge of SQL and relational databases.
  • Experience with Databricks workflows/jobs.
  • Familiarity with data engineering concepts and ETL/ELT processes.
  • Experience working with large-scale datasets.
  • Knowledge of cloud data platforms such as AWS, Azure, or GCP is a plus.
  • Experience working in Agile/Scrum environments.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of overall IT/software development experience preferred.
  • Strong communication skills and the ability to collaborate across technical teams.