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Flexible Full Stack Data Scientist Jobs (NOW HIRING)

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. Required Skills * Must ...

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Collaborate with cross-functional teams including data scientists, analysts, and business ...

As a full-stack data scientist, you will turn complex operational signals into insight-and translate that insight into lightweight products, prototypes, and tools that reshape service delivery at ...

The Product Data Science team is looking for a Full-stack Senior Data Scientist to come aboard and ... The ability to thrive in a dynamic environment, being flexible and willing to jump in and do ...

Data Scientist

Manhattan, NY · On-site

$114K - $129K/yr

This is a "full-stack" data science role. You won't just build models in a notebook; you will design, code, and deploy the entire lifecycle-from data ingestion and scoring to serving results on ...

We are seeking a Head of Data Science to lead a growing team of full-stack data scientists responsible for developing production-grade models that identify fraudsters and expand the company's suite ...

... as a full-stack data scientist who develops, optimizes, and scales models for the production environment • You connect the how and why using your knowledge of data science theories and ...

... full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation • Design and develop advanced ML or Agentic AI solutions, including ...

... full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation • Design and develop advanced ML or Agentic AI solutions, including ...

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Flexible Full Stack Data Scientist information

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$46K

$165K

$243.5K

How much do flexible full stack data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for flexible full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Full Stack Data Scientist vs Data Engineer?

AspectFlexible Full Stack Data ScientistData Engineer
Primary FocusData analysis, modeling, and insightsData pipeline development and infrastructure
SkillsStatistics, machine learning, programming (Python, R)ETL, database management, cloud platforms
CredentialsDegree in Data Science, Statistics, or related fieldsDegree in Computer Science, Software Engineering
Work EnvironmentCross-functional teams, research-focusedData infrastructure teams, IT departments

Flexible Full Stack Data Scientists focus on analyzing data and building models to generate insights, while Data Engineers develop and maintain the data infrastructure and pipelines. Both roles often collaborate but serve different core functions within data-driven organizations.

What cities are hiring for Flexible Full Stack Data Scientist jobs? Cities with the most Flexible Full Stack Data Scientist job openings:
What are the most commonly searched types of Full Stack Data Scientist jobs? The most popular types of Full Stack Data Scientist jobs are:
What states have the most Flexible Full Stack Data Scientist jobs? States with the most job openings for Flexible Full Stack Data Scientist jobs include:

Full-Stack Data Engineer with Security Clearance

Base-2 Solutions, LLC

Miami, FL • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Job Description Position Summary Base-2 Solutions is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Essential Duties and Responsibilities * Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization. * Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments. * Build scalable, secure web applications with metadata-driven search and retrieval features. * Integrate APIs for seamless data interoperability. * Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. * Implement RESTful and GraphQL APIs for data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources. * Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products. * Optimize database queries and indexing strategies for large-scale geospatial and structured datasets. Required Qualifications * 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. * Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. * Experience implementing RESTful and GraphQL APIs for data retrieval and integration. * Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms. * Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. Preferred Qualifications * AWS Certified Data Analytics - Specialty. * Microsoft Certified: Azure Data Engineer Associate. * ESRI ArcGIS Developer Certification. Required Education and Experience Equivalency * Bachelor's degree in Computer Science, Data Engineering, or a related field. * OR 5 years of equivalent experience in full-stack development and data engineering. Required Certifications * None specified. Required Security Clearance * Active Top Secret/SCI Pay & Benefit Highlights Compensation * Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity). * Employee referral bonuses up to $10,000 per hired referral. * Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent). Health * 100% company-paid medical premiums for employees and eligible dependents. * Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans. * 100% company-paid dental premiums for employees and eligible dependents. * 100% company-paid vision premiums for employees and eligible dependents. Income Protection * 100% company-paid premiums for short-term disability. * 100% company-paid premiums for long-term disability. * 100% company-paid premiums for accidental death & dismemberment (AD&D). * 100% company-paid premiums for life insurance up to $200,000. Retirement * 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total). * 401(k) pre-tax and Roth options. Leave * Up to 20 days of flexible paid time off (PTO). * 11 paid floating holidays. Work-Life Balance * Flexible work schedules, including flex time and compressed work periods (contract and project-dependent). NT