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Full Stack Data Analyst Developer Jobs (NOW HIRING)

Full Stack Data Engineer

Cleveland, OH ยท On-site

$80K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Partner directly with business stakeholders and analysts to translate a business need into a ... Comfort with light DevOps (Terraform, GitHub Actions) We are an equal opportunity employer, and all ...

Full Stack Data Scientist (AI/ML)

Reston, VA ยท On-site

$120 - $160/hr

This role combines deep modeling expertise, strong software engineering skills, and practical MLOps ... and applied analytics. โ€ข Advanced proficiency in Python, ML libraries, SQL, and big data ...

We are seeking a talented and experienced Full Stack Data Engineer to join our team. The ideal ... Integrate data from different systems and platforms to create unified datasets for analysis and ...

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 ...

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 ...

Data Engineer

Charlotte, NC ยท 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 ...

... 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 ...

Full-Stack Data Engineer (TS/SCI)

Hampton, VA ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The team conducts empirical analysis to provide definitive accounts of DoW ISR contributions to ... We are seeking a TS//SCI cleared Full Stack Data Engineer with a variety of technical skills, a ...

New

Full Stack Developer

Mclean, VA ยท On-site

$150K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Full Stack Developer

Mclean, VA ยท 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 ...

Full Stack Developer

Washington, DC ยท On-site

  • Medical

  • Retirement

  • PTO

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 ...

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 ...

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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 Aug 14, 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 Engineer

Cavaliers Holdings LLC

Cleveland, OH โ€ข On-site

$80K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Cavaliers Holdings LLC is obsessed with delivering epic experiences for our team members, our fans, our community and the world. Fueled by an unapologetically bold, inclusive and high-impact culture, we strive to recruit individuals who are enthusiastic and purposeful in carrying out our vision as transformative leaders in sports and entertainment. If you are ready to bring your best to the dynamic, high-performance environment of the Cavs, Sirens, Monsters, Charge, RESN and Rocket Arena - where we come together to create moments that move, inspire, and uplift - then we want to hear from you.
JOB SUMMARY:
We're hiring a Full-Stack Data Engineer to join a small, high-trust team building the systems that fuel decisions across the organization. This is a two-sided role by design: you'll build and own the data pipelines that feed our warehouse and the applications and interfaces that put that data in the hands of business users. The systems you build won't stop at a table - they'll go all the way through to something a stakeholder actually uses. If you want to be a pure data engineer forever, this isn't the seat. We want engineers who move fluidly between pipeline work and application work because that's how our team ships end-to-end value.
ESSENTIAL DUTIES & RESPONSIBILITIES:
  • Design, build, and maintain production data pipelines feeding our Aurora PostgreSQL warehouse and downstream analytics
  • Own dbt models end-to-end: sources, staging, marts, tests, documentation
  • Improve pipeline reliability: monitoring, alerting, incident response, root-cause analysis
  • Build and maintain internal applications, APIs, and integrations that expose data to business teams in Ticketing, Marketing, Sales, and BIG (Business Intelligence Group)
  • Integrate with vendor systems and third-party APIs to move data in and out of the platform
  • Partner directly with business stakeholders and analysts to translate a business need into a shipped system
  • Choose the right solution (build, buy, configure, automate, or advise), not the most engineering-intensive one
  • Contribute to platform decisions: tooling, standards, architecture
  • Write change notices, code reviews, and documentation

REQUIRED QUALIFICATIONS:
  • 4-6 years of hands-on engineering experience in a production environment, spanning both data engineering and application/backend development
  • Strong dbt experience - you've built and maintained a real dbt project, not just run through a tutorial
  • Deep SQL fluency and comfort with structured/relational databases (PostgreSQL preferred; Snowflake, Redshift, BigQuery all translate)
  • Demonstrated experience designing and operating data pipelines (orchestration, dependencies, retries, observability)
  • Demonstrated experience building applications, APIs, or services that non-engineers actually use in production
  • Working proficiency with AI coding tools (Claude Code, Codex, Cursor, or equivalent) as part of your day-to-day engineering practice - you can speak to what you've built with them and where they break down
  • Python proficiency for pipeline logic, transformations, and glue code
  • Version control (Git), code review, and CI/CD hygiene
  • AWS experience (RDS/Aurora, Lambda, S3, IAM)
  • Experience with dbt-osmosis, dbt docs, or similar metadata tooling
  • Frontend/UI experience for internal tooling (any modern framework)
  • Exposure to sports, entertainment, ticketing, or CRM data models
  • Background integrating vendor APIs (Ticketmaster, Salesforce, Adobe, etc.)
  • Comfort with light DevOps (Terraform, GitHub Actions)

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
Actual compensation will depend on your experience, education/credentials, skills, and how they fit our organizational needs. Rock Entertainment Group offers a robust perks package with healthcare, dental, vision, retirement, and more!