Remote Data Engineer - Cloud Data Pipeline Development | $27/Hour | arenaflex Data Science & Insights
Join arenaflex: Build the Future of Data Engineering
Are you ready to transform how a global entertainment leader makes data-driven decisions? arenaflex is seeking a talented and motivated Data Engineer to join our dynamic Data Science and Insights (DSI) team. This is a fantastic opportunity to work at the intersection of technology and entertainment, where your technical expertise will directly impact how millions of people experience magic around the world.
At arenaflex, we believe that data is the backbone of innovation. From theme parks to streaming services, from consumer products to live sports, our data engineering team powers the insights that drive business decisions across every segment of our organization. As a Data Engineer with arenaflex, you'll be instrumental in building and maintaining the data infrastructure that supports our media business, ensuring that accurate, timely, and reliable data flows through our systems.
About arenaflex Data Science and Insights
The arenaflex Data Science and Insights (DSI) division is the analytical powerhouse behind The Walt arenaflex Company. Our team supports clients across all major business segments, including arenaflex Parks, Experiences and Products (encompassing both domestic and international parks and resorts, consumer products, and arenaflex Mark Experiences), as well as the arenaflex Entertainment segment (which includes Studios Content with the arenaflex Dramatic Group, General Entertainment Content, and arenaflex Sports Content).
DSI leverages cutting-edge technology, data analysis, optimization techniques, and statistical and econometric modeling to uncover opportunities, shape business decisions, and drive measurable business value. We don't just crunch numbers – we transform raw data into actionable intelligence that influences strategic planning across the entire organization.
What You'll Do
As a Data Engineer on the DSI team, you will be responsible for collaborating with Decision Science Products, Decision Science, Client, and Technology colleagues on various development and sustainment projects, ad-hoc requests, prototyping, and research initiatives. Your primary focus will be providing robust data pipeline and database engineering services that empower our teams to deliver insights at scale.
Key Responsibilities:
Data Pipeline Development: Design, develop, and maintain ETL/ELT data pipelines that efficiently move and transform data from source systems to destination data warehouses and analytical environments.
Data Acquisition & Integration: Maintain and enhance data acquisition processes, ensuring seamless integration of data from multiple internal and external sources.
Data Validation: Develop and implement data validation processes and scripts to ensure data quality, accuracy, and consistency across all datasets.
Database Design: Design and implement database schemas, tables, views, and other database objects optimized for performance and analytical workloads.
Process Automation: Develop and maintain automated workflow schedulers to ensure reliable and timely data processing.
Requirements Gathering: Collaborate with business stakeholders to gather data requirements and translate them into technical specifications.
Source-to-Target Mapping: Create comprehensive source-to-target mappings that document data flow and transformation logic.
Data Visualization Support: Prepare and deliver datasets that serve as inputs for science models, visualizations, and analytical dashboards.
Documentation & Monitoring: Develop and maintain documentation for data pipelines, processes, and data lineage. Implement monitoring solutions to proactively identify and address data quality issues.
Technologies You'll Use:
You'll work with a modern technology stack that includes:
SQL (primarily Snowflake and PostgreSQL) for data manipulation and database management
Python for scripting, data transformation, and pipeline development
Docker for containerization and deployment
GitLab for version control and collaborative development
Airflow for workflow orchestration and scheduling
Cloud Platforms (preferably AWS) for cloud-based data infrastructure
What We're Looking For
Basic Qualifications:
Education: Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field (advanced degree preferred)
Experience: 2+ years of hands-on experience in ELT/ETL data pipeline development and sustainment
Technical Skills: Proven expertise in Python and SQL, with preference for experience using Snowflake
Development Environment: Experience developing in multi-environment setups (Development, QA, Staging, Production) and familiarity with DevOps methodologies for code organization and deployment
Automation: Experience developing and maintaining automated workflow schedulers
Database Knowledge: Strong understanding of relational database design, normalization, and query optimization
Preferred Qualifications:
Big Data Experience: Experience working with large-scale datasets and big data technologies, preferably in cloud-based environments such as Snowflake, Databricks, or similar platforms
Cloud Expertise: Proficiency in cloud architecture and product offerings, with strong preference for AWS experience
Version Control: Experience managing and deploying code using source control systems like GitLab or GitHub
Containerization: Hands-on experience with Docker for application containerization
Data Modeling: Experience with dimensional modeling and data warehousing best practices
API Development: Familiarity with RESTful API design and integration
Skills & Competencies for Success
Beyond technical qualifications, we value candidates who bring:
Analytical Thinking: The ability to break down complex problems and design elegant technical solutions
Collaboration: Strong interpersonal skills and the ability to work effectively with cross-functional teams
Communication: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical stakeholders
Problem-Solving: A proactive approach to identifying issues and implementing effective solutions
Attention to Detail: Meticulous focus on data quality and accuracy
Adaptability: The flexibility to work in a fast-paced, evolving environment
Continuous Learning: A growth mindset and enthusiasm for learning new technologies and methodologies
Career Growth & Learning Opportunities
At arenaflex, we invest in our employees' professional development. As a Data Engineer on our team, you'll have access to:
Career Advancement: Clear pathways for career progression within the DSI organization and the broader arenaflex technology community
Technical Training: Access to industry-leading training programs, certifications, and conferences
Mentorship: Guidance from experienced senior engineers and data professionals
Diverse Projects: Exposure to a wide variety of data engineering challenges across different business segments
Innovation Time: Opportunities to explore new technologies and contribute to innovative solutions
Cross-Functional Exposure: Collaboration with teams across data science, product management, and business strategy
Work Environment & Culture
Join a team that values creativity, collaboration, and excellence. At arenaflex, we foster an inclusive environment where diverse perspectives are celebrated. You'll be part of a team that's passionate about using data to create magical experiences for people around the world.
While this position offers flexibility, we maintain a collaborative culture that emphasizes teamwork and open communication. You'll have the opportunity to work on meaningful projects that directly impact how arenaflex serves its guests and customers across the globe.
Compensation & Benefits
We recognize that our employees are our greatest asset. That's why we offer a comprehensive compensation package that includes:
Competitive Pay: $27/hour with opportunities for overtime
Health & Wellness: Comprehensive medical, dental, and vision insurance
Paid Time Off: Generous vacation, personal, and sick leave policies
Retirement Plans: 401(k) with company matching
Professional Development: Tuition reimbursement and educational assistance programs
Employee Perks: Access to arenaflex theme parks, entertainment events, and exclusive discounts
Work-Life Balance: Flexible scheduling and remote work options where applicable
Ready to Make Magic with Data?
If you're passionate about data engineering and want to be part of a team that's transforming how a world-class entertainment company uses data, we want to hear from you! This is your chance to join an innovative team, work with cutting-edge technology, and make a real impact.
Apply now and take the first step toward an exciting career with arenaflex. Together, we'll continue to create magical moments for millions of people around the world – powered by data, driven by innovation.
Don't miss this opportunity to grow your career with a company that values innovation, creativity, and the power of data. Apply today!
Are you ready to transform how a global entertainment leader makes data-driven decisions? arenaflex is seeking a talented and motivated Data Engineer to join our dynamic Data Science and Insights (DSI) team. This is a fantastic opportunity to work at the intersection of technology and entertainment, where your technical expertise will directly impact how millions of people experience magic around the world.
At arenaflex, we believe that data is the backbone of innovation. From theme parks to streaming services, from consumer products to live sports, our data engineering team powers the insights that drive business decisions across every segment of our organization. As a Data Engineer with arenaflex, you'll be instrumental in building and maintaining the data infrastructure that supports our media business, ensuring that accurate, timely, and reliable data flows through our systems.
About arenaflex Data Science and Insights
The arenaflex Data Science and Insights (DSI) division is the analytical powerhouse behind The Walt arenaflex Company. Our team supports clients across all major business segments, including arenaflex Parks, Experiences and Products (encompassing both domestic and international parks and resorts, consumer products, and arenaflex Mark Experiences), as well as the arenaflex Entertainment segment (which includes Studios Content with the arenaflex Dramatic Group, General Entertainment Content, and arenaflex Sports Content).
DSI leverages cutting-edge technology, data analysis, optimization techniques, and statistical and econometric modeling to uncover opportunities, shape business decisions, and drive measurable business value. We don't just crunch numbers – we transform raw data into actionable intelligence that influences strategic planning across the entire organization.
What You'll Do
As a Data Engineer on the DSI team, you will be responsible for collaborating with Decision Science Products, Decision Science, Client, and Technology colleagues on various development and sustainment projects, ad-hoc requests, prototyping, and research initiatives. Your primary focus will be providing robust data pipeline and database engineering services that empower our teams to deliver insights at scale.
Key Responsibilities:
Data Pipeline Development: Design, develop, and maintain ETL/ELT data pipelines that efficiently move and transform data from source systems to destination data warehouses and analytical environments.
Data Acquisition & Integration: Maintain and enhance data acquisition processes, ensuring seamless integration of data from multiple internal and external sources.
Data Validation: Develop and implement data validation processes and scripts to ensure data quality, accuracy, and consistency across all datasets.
Database Design: Design and implement database schemas, tables, views, and other database objects optimized for performance and analytical workloads.
Process Automation: Develop and maintain automated workflow schedulers to ensure reliable and timely data processing.
Requirements Gathering: Collaborate with business stakeholders to gather data requirements and translate them into technical specifications.
Source-to-Target Mapping: Create comprehensive source-to-target mappings that document data flow and transformation logic.
Data Visualization Support: Prepare and deliver datasets that serve as inputs for science models, visualizations, and analytical dashboards.
Documentation & Monitoring: Develop and maintain documentation for data pipelines, processes, and data lineage. Implement monitoring solutions to proactively identify and address data quality issues.
Technologies You'll Use:
You'll work with a modern technology stack that includes:
SQL (primarily Snowflake and PostgreSQL) for data manipulation and database management
Python for scripting, data transformation, and pipeline development
Docker for containerization and deployment
GitLab for version control and collaborative development
Airflow for workflow orchestration and scheduling
Cloud Platforms (preferably AWS) for cloud-based data infrastructure
What We're Looking For
Basic Qualifications:
Education: Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field (advanced degree preferred)
Experience: 2+ years of hands-on experience in ELT/ETL data pipeline development and sustainment
Technical Skills: Proven expertise in Python and SQL, with preference for experience using Snowflake
Development Environment: Experience developing in multi-environment setups (Development, QA, Staging, Production) and familiarity with DevOps methodologies for code organization and deployment
Automation: Experience developing and maintaining automated workflow schedulers
Database Knowledge: Strong understanding of relational database design, normalization, and query optimization
Preferred Qualifications:
Big Data Experience: Experience working with large-scale datasets and big data technologies, preferably in cloud-based environments such as Snowflake, Databricks, or similar platforms
Cloud Expertise: Proficiency in cloud architecture and product offerings, with strong preference for AWS experience
Version Control: Experience managing and deploying code using source control systems like GitLab or GitHub
Containerization: Hands-on experience with Docker for application containerization
Data Modeling: Experience with dimensional modeling and data warehousing best practices
API Development: Familiarity with RESTful API design and integration
Skills & Competencies for Success
Beyond technical qualifications, we value candidates who bring:
Analytical Thinking: The ability to break down complex problems and design elegant technical solutions
Collaboration: Strong interpersonal skills and the ability to work effectively with cross-functional teams
Communication: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical stakeholders
Problem-Solving: A proactive approach to identifying issues and implementing effective solutions
Attention to Detail: Meticulous focus on data quality and accuracy
Adaptability: The flexibility to work in a fast-paced, evolving environment
Continuous Learning: A growth mindset and enthusiasm for learning new technologies and methodologies
Career Growth & Learning Opportunities
At arenaflex, we invest in our employees' professional development. As a Data Engineer on our team, you'll have access to:
Career Advancement: Clear pathways for career progression within the DSI organization and the broader arenaflex technology community
Technical Training: Access to industry-leading training programs, certifications, and conferences
Mentorship: Guidance from experienced senior engineers and data professionals
Diverse Projects: Exposure to a wide variety of data engineering challenges across different business segments
Innovation Time: Opportunities to explore new technologies and contribute to innovative solutions
Cross-Functional Exposure: Collaboration with teams across data science, product management, and business strategy
Work Environment & Culture
Join a team that values creativity, collaboration, and excellence. At arenaflex, we foster an inclusive environment where diverse perspectives are celebrated. You'll be part of a team that's passionate about using data to create magical experiences for people around the world.
While this position offers flexibility, we maintain a collaborative culture that emphasizes teamwork and open communication. You'll have the opportunity to work on meaningful projects that directly impact how arenaflex serves its guests and customers across the globe.
Compensation & Benefits
We recognize that our employees are our greatest asset. That's why we offer a comprehensive compensation package that includes:
Competitive Pay: $27/hour with opportunities for overtime
Health & Wellness: Comprehensive medical, dental, and vision insurance
Paid Time Off: Generous vacation, personal, and sick leave policies
Retirement Plans: 401(k) with company matching
Professional Development: Tuition reimbursement and educational assistance programs
Employee Perks: Access to arenaflex theme parks, entertainment events, and exclusive discounts
Work-Life Balance: Flexible scheduling and remote work options where applicable
Ready to Make Magic with Data?
If you're passionate about data engineering and want to be part of a team that's transforming how a world-class entertainment company uses data, we want to hear from you! This is your chance to join an innovative team, work with cutting-edge technology, and make a real impact.
Apply now and take the first step toward an exciting career with arenaflex. Together, we'll continue to create magical moments for millions of people around the world – powered by data, driven by innovation.
Don't miss this opportunity to grow your career with a company that values innovation, creativity, and the power of data. Apply today!