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A Developer The Jobs (NOW HIRING)

Everwatch

DevOps Engineer

Annapolis Junction, MD · On-site

$72.12 - $110.58/hr

We are a full-service government solutions company. Harnessing the most advanced technology and ... As a DevOps engineer, you know how to set up cloud environments and provision computer networking ...

Apolis

Devops Engineergni

Lowell, MA · On-site

$52.50 - $72/hr

Apolis is a company seeking a DevOps Engineer to design, implement, and manage scalable Kubernetes clusters for application deployment. The role involves building and maintaining infrastructure as ...

Everwatch

DevOps Engineer

Annapolis Junction, MD

$72.12 - $110.58/hr

We are a full-service government solutions company. Harnessing the most advanced technology and ... Responsibilities As a DevOps engineer, you know how to set up cloud environments and provision ...

Booz Allen Hamilton

DevSecOps Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a DevOps engineer, you know how to set up cloud environments and provision computer networking, storage, and virtual networks, ultimately, how to "harness the cloud." We're looking for a DevOps ...

Booz Allen Hamilton, Inc.

DevSecOps Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

As a DevOps engineer, you know how to set up cloud environments and provision computer networking, storage, and virtual networks, ultimately, how to "harness the cloud." We're looking for a DevOps ...

Booz Allen Hamilton

Front End Developer

Mclean, VA

$69K - $158K/yr

Front End Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not ...

Booz Allen Hamilton

Software Developer

Arlington, VA

$69K - $158K/yr

We're looking for a developer with the skills needed to build mission critical software from vision to production ready system. We have an opportunity for you to develop your Digital skills and ...

Booz Allen Hamilton, Inc.

Front End Developer

Mclean, VA · On-site

$69K - $158K/yr

Front End Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not ...

Booz Allen Hamilton

Software Developer

Dahlgren, VA

$69K - $158K/yr

We're looking for a developer with the skills needed to build mission critical software from vision to production ready system. We have an opportunity for you to develop your Digital skills and ...

PSG Global Solutions

J2EE Developer

Charlotte, NC · On-site

Seeking a Developer who has experience with J2EE, spring batch, web services (XML), and oracle ... The J2EE skills will be most critical for this role and the individual will be working as a part of ...

Booz Allen Hamilton

Front End Developer

Fort Belvoir, VA · On-site

$69K - $158K/yr

Front End Developer The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not ...

Booz Allen Hamilton, Inc.

Front End Developer

Mclean, VA · On-site

$69K - $158K/yr

We're looking for a developer like you with the skills needed to develop software and systems from vision to production-ready. This role is more than just coding. As a full stack developer at Booz ...

Booz Allen Hamilton, Inc.

Front End Developer

Mclean, VA · On-site

$69K - $158K/yr

We're looking for a developer like you with the skills needed to develop software and systems from vision to production-ready. This role is more than just coding. As a full stack developer at Booz ...

Tihinsurance

Software Engineer IV

Alpharetta, GA · Remote

$176K/yr

... a developer. The employer will alternatively accept a Master's degree in Computer Science, Information Systems, Engineering or related technical field of study plus 6 years of experience as a ...

Prophecy Technologies

DevOps Engineer

Sunnyvale, CA · On-site

$62 - $84.75/hr

This role is for a DevOps Engineer with extensive experience in Cloud computing, DevOps implementation, Linux administration, and Build and Release Engineering. The successful candidate will be ...

TekForce

Java Developer

Rockville, MD

$52 - $67.25/hr

The types of projects they will work on are a mix of system replacement, "green field" new ... programming methodology and development life cycle Functional Skills Required: Ability to work ...

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A Developer The information

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How much do a developer the jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for a developer the in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is the job of a developer?

A developer designs, writes, tests, and maintains software applications or systems using programming languages such as Java, Python, or C++. They often collaborate with teams, follow project requirements, and use tools like version control systems. Strong problem-solving skills and knowledge of coding best practices are essential for this role.

What is the difference between A Developer The vs Web Developer?

AspectA Developer TheWeb Developer
Required CredentialsTypically requires a computer science degree or coding bootcamp certificationOften requires a degree or coding bootcamp, with a focus on web technologies
Work EnvironmentWorks in various industries, including software, finance, and healthcare, often on custom applicationsPrimarily works on website and web application development in tech or digital agencies
Employer & Industry UsageUsed across multiple sectors for software solutionsCommonly employed in digital agencies, startups, and companies with online presence
Search & Comparison IntentPeople compare to understand broader software development rolesPeople compare to clarify web-specific development skills

In summary, A Developer The is a broad role encompassing various software development tasks across industries, while a Web Developer specializes in creating websites and web applications. Both roles often require similar credentials but differ in their focus and work environment.

What are some developer jobs?

Developer jobs include roles such as software developer, web developer, mobile app developer, and systems developer. These positions typically require knowledge of programming languages like Java, Python, or JavaScript and may involve working with development tools, frameworks, and version control systems. Developers often work in teams, follow project deadlines, and may need certifications or specialized training depending on the role.

What is the role of a developer?

A developer designs, writes, tests, and maintains software applications or systems. They use programming languages such as Java, Python, or C++ and often collaborate with teams to meet project requirements and deadlines.
More about A Developer The jobs
What cities are hiring for A Developer The jobs? Cities with the most A Developer The job openings:
What states have the most A Developer The jobs? States with the most job openings for A Developer The jobs include:
What job categories do people searching A Developer The jobs look for? The top searched job categories for A Developer The jobs are:
A Developer The jobs near you
Infographic showing various A Developer The job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 20% Part Time, 1% Temporary, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Data & Analytics (D&A) Developer II

Lancesoft

Greenville, SC • On-site

$50 - $53/hr

Temporary

Posted 6 days ago

Job description


This job is with Encode, Inc a fully owned subsidiary of Lancesoft
Client is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
We are seeking a curious, analytically sharp, and digitally passionate Data Scientist to join our HDPE Operations & Strategy team - a team where collaboration and participative leadership are not just words, but the way we work every day. This is your opportunity to create real impact from day one. As a core member of our HDPE team, you will be at the forefront of our engineering vision -where data intelligence and AI-powered tools redefine how we manage, predict, and operate across Client's global business.
You will act as the critical bridge between our Engineering domain data knowledge, business planning, operations and our IT execution team -defining what data we need, how it should be structured and used, and what AI/ML solutions can unlock the most value. You will support centralized business operations and program reporting that delivers harmonized insights and predicted range of outcomes to business stakeholders worldwide.
You will build scenario planning models that test critical business assumptions and track project execution through P6 and enterprise systems, identifying gaps between plan and reality to drive proactive decision-making. This role will be critical in efforts to optimize HDPE Operations program management activities
Required Technical Skills
Core Data Science & ML Tools
    • Python: Strong proficiency in data analysis, statistical modeling, and ML development (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming)
    • Scenario Planning & What-If Analysis: Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes
    • Machine Learning: Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar)
    • Model Evaluation: Understanding of model validation metrics (R2, MAE, RMSE, cross-validation, custom scoring functions)
    • SQL: Proficiency in querying, joining tables, data manipulation, and interpreting complex queries
    • Statistical Analysis: Understanding of statistical modeling, hypothesis testing, and experimental design

Data Management Competencies
    • Data Exploration: Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities
    • Data Cleaning: Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems
    • Data Integration: Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM)
    • Anomaly Detection: Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data

AI & Advanced Analytics
    • Semantic Data Models: Understanding of data modeling concepts across heterogeneous systems
    • Forecasting & Prediction: Experience developing models for scenario modeling and predictive use cases
    • Large Language Models (LLMs): Familiarity with LLMs and basic prompt engineering techniques for practical business applications

Dashboard & Logic Comprehension
    • Reverse Engineering: Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources
    • SQL Query Analysis: Strong capability to read and interpret complex SQL queries to understand data flows and business logic
    • Data Source Understanding: Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures
    • Pipeline Collaboration: Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level

Nice to Have Skills
  • Advanced ML/Deep Learning: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications
  • Unit Testing: pytest or similar frameworks for data science code quality
  • Experience with P6 (Primavera), MS Project, or similar project execution systems
  • MLOps: Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics
  • Cloud Platforms: Familiarity with Azure, AWS, or GCP for data science workflows
  • Advanced LLM Applications: Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks
  • Data Governance: Understanding of data governance principles and responsible AI practices
  • Enterprise Systems: First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective

Key Responsibilities
Data Analysis & Intelligence
    • Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements
    • Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used
    • Transform structured/unstructured datasets (often 100k+ rows) into actionable insights
    • Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms

AI/ML Model Development & Deployment
    • Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals
    • Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team
    • Pipeline Collaboration & Development: Experience working with Data Engineers to ensure data requirements are correctly implemented;ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows
    • Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team
    • Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows

Scenario Planning & Project Execution Analytics
    • Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate "what-if"outcomes for strategic decision-making
    • Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance
    • Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends
    • Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning →design ->execution →closeout)
    • Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis
    • Provide data pipeline and data to build executive dashboards that visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown

Existing Data Ecosystem & Optimization
    • Review and analyze existing Client dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows
    • Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems
    • Understand underlying data structures and prepared data sources to support maintenance and enhancement
    • Identify opportunities to optimize or consolidate existing reporting and modeling assets
    • Maintain consistency with established Client data standards and best practices

Business Stakeholder Collaboration
    • Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences
    • Resolve customer and internal user queries related to model outputs, data insights, or data defects
    • Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across Client's global business lines

Innovation & Continuous Improvement
    • Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level
    • Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems
    • Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions
    • Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape

Essential Soft Skills & Competencies
Communication & Collaboration
    • Stakeholder interaction skills: Ability to engage with non-technical audiences and translate complex technical concepts and AI/ML findings into business value
    • Understanding & listening skills: Proven ability to grasp business requirements, ask clarifying questions, and define clear data requirements for distributed execution teams
    • Positive communication style: Professional, proactive, and solution-oriented approach
    • Multilingual capability: Fluent in English (written and spoken);additional languages are a plus

Mindset & Work Style
    • Analytical thinking: Strong problem-solving abilities with attention to detail, logical reasoning, and scientific rigor
    • Technical curiosity: Intellectually curious, able to dive into existing work, understand how ML models and data pipelines were built, and learn from established patterns
    • Collaborative mindset: Comfortable operating in dynamic, evolving environments and working across international, multicultural teams and time zones
    • Learning agility: Self-motivated to learn new tools, techniques, and business domains quickly;stay current with AI/ML advancements
    • Accountability: Takes ownership of deliverables, escalates issues appropriately, and participates in daily, weekly, and monthly meeting rhythm with GEV
    • Proactive communication: Communicate project status, risks, dependencies, and potential escalations early and clearly

Meet Your Recruiter
Kumar Chhatrasal
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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