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Mid Level Java Developer Jobs in Marion, AR (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Memphis, TN · On-site

$99K - $131K/yr

Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Kiewit Corporation

Superintendent - Electrical

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mid Level Home District/Group: Industrial Market Department: Field Supervision Market: Industrial ... engineers to ensure work is performed safely, efficiently, and in accordance with project ...

AutoZone

Systems Engineer-B2B

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Meet with Architects and collaborate with feedback on high level design for new features and ... Developer or similar with a strong software development background in Java, Spring boot, RDBMS is a ...

AutoZone

Systems Engineer-B2B

Memphis, TN

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Developer or similar with a strong software development background in Java, Spring boot, RDBMS is a ... Meet with Architects and collaborate with feedback on high level design for new features and ...

BINSWANGER ENTERPRISES LLC

Drafter Lead-

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor and develop junior and mid-level drafters, providing training, feedback, and performance ... Provide the Engineering Manager with current status on progress, risk, and available capacity so ...

Whopper Technologies

Help Desk Analyst

Memphis, TN · On-site

$20 - $27.25/hr

Mid-Level (Tier 1/Tier 2) Estimated Duration: 18 Months + Extensions (Long-term contract; potential ... Collaborate with infrastructure and engineering teams to troubleshoot and resolve escalated ...

KELE

Account Executive

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... The Account Executive works with low- to mid-level management, sales, estimators, project managers ...

Kele

Account Executive

Memphis, TN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our goal is to empower progress for maintenance managers, engineers, contractors, and all those ... The Account Executive works with low- to mid-level management, sales, estimators, project managers ...

Federal Express Corporation

AI Engineer III

Memphis, TN · On-site

This includes implementing robust observability, defining Service Level Objectives (SLOs), and ... Strong coding skills in Python, Java, or C++, including API development and software design * Deep ...

AutoZone

Systems Engineer - SRE Enablement

Memphis, TN · On-site

$55.25 - $73.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong programming/scripting skills (e.g., Python, Golang, Java) and experience with IaC tools (e.g ... Define enterprise-wide reliability standards, Service-Level Objective (SLO) frameworks, and error ...

AutoZone

Systems Engineer - SRE Enablement

Memphis, TN · On-site

$55.50 - $73.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Define enterprise-wide reliability standards, Service-Level Objective (SLO) frameworks, and error ... Strong programming/scripting skills (e.g., Python, Golang, Java) and experience with IaC tools (e.g ...

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All JobsMid Level Java Developer JobsMid Level Java Developer Jobs in Marion, AR

Mid Level Java Developer information

See Marion, AR salary details

$36

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$60

How much do mid level java developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for mid level java developer in Marion, AR is $50.61, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $57.69 per hour, depending on experience, location, and employer.

What does a typical workday look like for a mid level Java developer?

As a Mid Level Java Developer, your typical workday often involves writing and testing Java code, troubleshooting existing applications, and participating in code reviews. You'll collaborate closely with other developers, QA engineers, and sometimes product managers in agile sprints to ensure features are delivered according to requirements. Daily stand-up meetings are common, as is the use of tools like Jira for tracking tasks. You may also spend time learning new frameworks or best practices, which helps with both personal growth and contributing to more efficient software solutions.

What is a mid level Java developer?

A Mid Level Java Developer is responsible for designing, developing, and maintaining Java-based applications. They typically have 2-5 years of experience and work on coding, debugging, and optimizing software solutions. They collaborate with teams, follow best coding practices, and may mentor junior developers. Their role involves understanding project requirements, integrating APIs, and ensuring application performance. Mid Level Java Developers contribute to both backend and frontend development, depending on the project needs.

What are the key skills and qualifications needed to thrive as a mid level Java developer?

Successful Mid Level Java Developers possess a solid understanding of Java programming, object-oriented design, and commonly used frameworks such as Spring or Hibernate, typically backed by a relevant degree and professional experience. Familiarity with tools like Git, Maven, popular IDEs (e.g., IntelliJ IDEA or Eclipse), and certifications like Oracle Certified Professional Java Programmer (OCPJP) are advantageous. Strong collaboration, problem-solving abilities, and effective communication skills help developers work efficiently within agile teams and cross-functional projects. Mastering both technical and soft skills ensures smooth project delivery, maintainable code quality, and productive teamwork in dynamic software development environments.

What cities near Marion, AR are hiring for Mid Level Java Developer jobs?

Cities near Marion, AR with the most Mid Level Java Developer job openings:

Mid Level Java Developer jobs near you

Lead AI and Data Science Engineer II

Deloitte

Memphis, TN • On-site

$99K - $131K/yr

Full-time

Posted 17 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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