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Full Stack Data Analyst Developer Jobs (NOW HIRING)

SysMind Tech

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices. Key ... Strong communication and analytical skills * Ability to manage priorities in fast-paced ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. * Strong understanding of machine learning algorithms and statistical modeling techniques. * Hands ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

Proficiency in programming languages such as Python, R, and SQL for data manipulation and analysis. * Strong understanding of machine learning algorithms and statistical modeling techniques. * Hands ...

GRVTY

Full Stack Developer

Mclean, VA · On-site

... Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and ... What You'll be Owning GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance ...

GRVTY

Full Stack Developer

Mclean, VA · On-site +1

$150K - $250K/yr

... Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and ... The Full Stack Developer shall provide onsite full stack development support for a data repository ...

GRVTY

Full Stack Developer

Mclean, VA · On-site

$150K - $250K/yr

... Geospatial Data Analysis platform used throughout the Intelligence Community. Their tool and ... The Full Stack Developer shall provide onsite full stack development support for a data repository ...

campus4tech

Data Analyst/Developer

Grand Prairie, TX · On-site

Title: Data Analyst/Developer Location: Grand Prairie, TX Job Mode: This role is on-site 5 days' per week Duration: Long-Term Contract W2 candidates, no C2C or Third Party Vendors What type of ...

SynergisticIT

Full Stack/Java Developer(REMOTE)

Rochester, NH · On-site

$51.50 - $66.50/hr

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

Next Step Systems

Full Stack Developer

Washington, DC · On-site

Full Stack Developer, Washington DC We are seeking a Full Stack Developer to work on a team ... Analyze, design, code, test, and implement systematic solutions to meet customer requirements ...

Allegis Group

Full Stack Developer

Hanover, MD · On-site

The Full Stack Developer - Lead role is a core member of the Connected team responsible for ... data analysis, SQL querying, and working with relational and analytical databases (strong ...

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Full Stack Data Analyst Developer information

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How much do full stack data analyst developer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for full stack data analyst developer in the United States is $59.26, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Stack Data Analyst Developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a Full Stack Data Analyst Developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a Full Stack Data Analyst Developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.
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Full Stack Data Analyst Developer jobs near you
Full-Stack Data Engineer - SOUTHCOM EDA with Security Clearance

Full-Stack Data Engineer - SOUTHCOM EDA with Security Clearance

CELESTAR CORPORATION

Miami, FL • On-site

Other

Medical, Dental, Life, Retirement, PTO

Posted 25 days ago

Job description

Celestar, a B&A Company, is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. PERIOD OF PERFORMANCE: 1 Base Year + 3 Option Years LOCATION: Doral, FL CLEARANCE REQUIREMENT: Active TS/SCI Clearance About Us: Celestar, a B&A Company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities: • Proposed personnel possess the knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. • Personnel must be proficient in Data Lakes splatforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. • Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required. Required Qualifications and Skills (Must Be Reflected on Your Resume): • A Bachelor's degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering. • Must have demonstrated experience in Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. • Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources. • Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products. • Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. • Active TS/SCI Clearance Desired but not Required Certifications: • AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification. Come on board with a company that Values its Employees! Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.

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