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Databricks Software Jobs in Arkansas (NOW HIRING)

Data Engineer I

El Dorado, AR

$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 ...

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

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 ...

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 ...

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

Solutions Architect

El Dorado, AR

$56 - $73.75/hr

... Databricks, cloud data lakes, and lakehouse architectures Data ingestion, transformation, and ... Strong experience with modern software development life cycl

Data Engineer - Senior Manager

Fayetteville, AR ยท On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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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 cities in Arkansas are hiring for Databricks Software jobs?

Cities in Arkansas with the most Databricks Software job openings:

Data Engineer I (AWS, Databricks)

Travelers Canada

Hartford, AR โ€ข On-site

$109.30 - $180.20/hr

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Compensation Overview

Annual base salary range: $109,300.00 - $180,200.00. Target openings: 1.

Applicants must be authorized to work for any employer in the U.S. The company does not sponsor or support H-1B petitions, TN visas, or Form I-983/STEM OPT for this role.

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data for the entire enterprise. As a Data Engineer you will play a key role in growing and transforming the analytics landscape, designing, building, and deploying data solutions that support Artificial Intelligence, Machine Learning, and business intelligence.

Responsibilities
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
  • Design data solutions and analyze sources to determine value and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on data products and analytic environments.
  • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
  • Test data movement, transformation code, and data components.
  • Perform other duties as assigned.
Qualifications
  • Bachelorโ€™s Degree in STEM related field or equivalent.
  • Six years of related experience.
  • Strong data engineering fundamentals and principles, with handsโ€‘on experience designing, building, and optimizing data pipelines.
  • Proficient with cloud platforms and modern data technologies, including AWS (Lambda, EventBridge, Step Functions, DynamoDB, Athena), Databricks (Notebooks, Jobs, Unity Catalog, Genie) and concepts such as Autoloader, streaming, and nearโ€‘realโ€‘time data processing.
  • Experience working with AI tools and concepts (e.g., Claude) and familiarity with developer productivity tools such as GitHub Copilot.
  • Comfortable using key engineering and DevOps tools, including Jira, GitHub, Snyk, ServiceNow, and Autosys.
  • Proficient programming skills and solid understanding of software engineering practices, including testing, CI/CD, and version control.
  • Ability to deliver work at a steady, predictable pace, break down complex tasks into small, incremental releases, and actively participate in tradeโ€‘off and negotiation discussions.
  • Demonstrated domain expertise with the ability to quickly understand technical concepts and develop deep knowledge of the systems you support.
  • Proven problemโ€‘solving and debugging skills, including the ability to identify root causes in unfamiliar codebases and recognize and resolve recurring issues.
  • Strong verbal and written communication skills, with the ability to effectively collaborate with team members, partners, and stakeholders.
  • Intermediate leadership skills with a track record of selfโ€‘motivation, ownership, and a commitment to continuous learning and personal growth.
  • Additional requirement: 2 additional years of software/data engineering experience over and above the Bachelorโ€™s degree.
Benefits
  • Health Insurance: Employees and eligible family members are covered from day one.
  • Retirement: Travelers matches 401(k) contributions dollarโ€‘forโ€‘dollar up to 5% of eligible pay, subject to an annual maximum.
  • Student Loan Program: Travelers contributes annually to the Paying It Forward Savings Program based on student loan payments.
  • Pension Plan: 100% funded by Travelers.
  • Paid Time Off: Minimum of 20 days PTO annually, plus nine paid company holidays.
  • Wellness Program: Tools, discounts, and resources to support wellness goals and caregiving needs, including free professional counseling and health coaching.
  • Volunteer Encouragement: Matching gift and volunteer rewards program for charitable contributions.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents of each individual and recognize the benefits that diversity brings. Candidates in Colorado are not required to disclose educational dates or graduation information. If you have specific questions regarding the physical requirements of this role, please contact us.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

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