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Data Engineer II, Fandango (AWS / Redshift / PySpark) (Remote - US)

Data Engineer II, Fandango (AWS / Redshift / PySpark) (Remote - US)

JobgetherUS
7 days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer II, Fandango (AWS / Redshift / PySpark) in the United States .

This role offers the opportunity to build and maintain robust data pipelines and systems that power critical business operations for a leading entertainment and digital media platform. You will work closely with other data engineers, software teams, and product managers to ensure data flows efficiently from multiple sources, both internal and external, and is structured, accurate, and accessible for analytics and decision-making. The position involves hands-on development with cloud-based tools, real-time and batch data processing, and optimizing large-scale datasets. You will contribute to the evolution of the company’s data architecture, troubleshoot production issues, and actively improve workflows, all while operating in a fully remote, collaborative, and high-impact environment.

Accountabilities

  • Design, build, test, scale, and maintain data pipelines from diverse source systems, including APIs, structured and semi-structured files, and real-time feeds.
  • Participate actively in all aspects of the team’s Agile processes, including stand-ups, sprint planning, and retrospectives.
  • Collaborate with engineers and product managers to understand business and technical data requirements.
  • Troubleshoot and resolve production data issues in a timely manner.
  • Continuously improve code quality, data workflows, and documentation to ensure reliability and maintainability.
  • Contribute to the development of near real-time and batch data pipelines using AWS, Redshift, PySpark, and related tools.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field, or equivalent practical experience.
  • 5+ years of applied experience in data engineering, including data pipeline development, orchestration, data modeling, and data lake solutions.
  • Proficiency in Python, SQL, and experience with reusable, efficient coding for automation and analysis.
  • Experience with data warehousing and dimensional modeling.
  • Hands-on experience with large datasets, ETL frameworks, and workflow orchestration tools such as Apache Airflow / Amazon MWAA.
  • Expertise with AWS data management services (S3, Redshift, DynamoDB, Athena, EMR, Glue, Lambda).
  • Familiarity with near real-time data processing and batch pipeline development.
  • Experience working in agile / scrum environments.
  • Strong collaboration, problem-solving skills, and the ability to learn new tools and methods quickly.
  • Preferred : familiarity with Talend, Informatica, Terraform, or Test-Driven Development practices.
  • Benefits

  • Competitive salary and fully remote work flexibility.
  • Opportunity to work on high-impact projects in the entertainment and digital media space.
  • Collaborative, supportive environment with professional growth opportunities.
  • Exposure to large-scale cloud data platforms and cutting-edge technologies.
  • Inclusive and diverse workplace culture.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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