Senior Data Engineer – ETL/ELT Pipeline Development, Cloud Data Architecture & Enterprise Data Solutions
About arenaflex
Welcome to arenaflex, where innovation meets imagination! We are a dynamic and forward-thinking organization that thrives on the power of data to transform businesses and create extraordinary experiences. As a leader in our industry, we are committed to building robust data infrastructure that powers decision-making across all levels of our organization. Our team is comprised of passionate data professionals who collaborate, innovate, and push the boundaries of what's possible in the world of data engineering.
At arenaflex, we believe that great data engineering is the foundation of exceptional business intelligence. We are currently seeking a talented and experienced Senior Data Engineer to join our Information Design group within our Data and Digital Solutions division. This is a fantastic opportunity for a data professional who is eager to make a significant impact, work with cutting-edge technologies, and grow their career in a supportive and innovative environment.
Position Overview
We are looking for a Senior Data Engineer who will be responsible for designing and executing sophisticated ETL/ELT data pipelines, planning and implementing database mappings, tables, and views, and building batch processes using Apache Airflow for multiple critical projects. This role is central to our data operations and requires someone who can collaborate effectively with various stakeholders across the organization.
As a Senior Data Engineer at arenaflex, you will work closely with our Studios and Project Technology teams on diverse activities including data requirements gathering, data validation scripting and review, developing and testing ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and coordinating deployments across multiple environments including Development, QA/UAT, and Production.
Key Responsibilities
Pipeline Development: Design, build, and maintain robust ETL/ELT data pipelines that efficiently process large volumes of data from various sources to destinations
Database Architecture: Plan and implement database mappings, tables, views, and schemas that support business requirements and ensure data integrity
Workflow Automation: Create and manage batch processes using Apache Airflow to automate data workflows and ensure timely data delivery
Collaboration: Partner with Studios and Project Technology teams to gather data requirements and translate business needs into technical solutions
Data Validation: Develop and execute data validation scripts to ensure data quality, accuracy, and consistency across all data assets
Environment Management: Coordinate deployments across Development, QA/UAT, and Production environments
Best Practices: Lead and promote best practices in data engineering software development processes
Documentation: Maintain comprehensive documentation of data pipelines, schemas, and processes
Performance Optimization: Monitor and optimize pipeline performance to ensure efficient data processing
Innovation: Stay current with emerging technologies and propose innovative solutions to improve our data infrastructure
Technologies We Use
Our data infrastructure leverages a modern technology stack, and you will work with a variety of tools including:
SQL and Python for data manipulation and pipeline development
Docker for containerization
GitLab for version control and CI/CD
Apache Airflow for workflow orchestration
Snowflake for cloud data warehousing
AWS S3 for cloud storage solutions
PostgreSQL for relational database management
Looker for business intelligence and visualization
Cloud-based platforms, preferably AWS
Required Qualifications & Experience
Experience: Minimum 2+ years of experience in an Information Engineering role
SQL Expertise: 2+ years of hands-on experience with SQL for data querying, manipulation, and database management
Pipeline Development: 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
Cloud Technologies: 2+ years of experience with cloud-based technologies, preferably AWS and S3
Platform Management: 2+ years of experience managing a cloud platform
Data Architecture: 2+ years of experience working with data lakes, data warehouses, and application databases
Database Design: 2+ years of experience designing and building relational databases
Version Control: 2+ years of experience using GitLab/GitHub for source code management
Containerization: 2+ years of experience using Docker
Big Data Technologies: Experience working with large datasets and big data technologies, preferably cloud-based platforms such as Snowflake, Databricks, or similar
Preferred Qualifications
Experience with Apache Airflow, GitLab, Snowflake, and Tableau
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience in streaming, media, or digital advertising domains
Strong knowledge of data modeling best practices
Experience with real-time data processing frameworks
Familiarity with machine learning data pipelines
Experience in Agile/Scrum development methodologies
Education Requirements
Bachelor's degree in Computer Science, Mathematics, Engineering, or a connected field is required. A Master's degree is preferred but not mandatory if you have equivalent practical experience.
Skills & Competencies
To succeed in this role, you should possess:
Technical Proficiency: Strong coding skills in Python and SQL with the ability to write efficient, maintainable code
Problem-Solving: Excellent analytical and problem-solving abilities to tackle complex data challenges
Communication: Strong verbal and written communication skills to effectively collaborate with cross-functional teams
Attention to Detail: Meticulous attention to data quality and accuracy
Time Management: Ability to manage multiple priorities and meet deadlines in a fast-paced environment
Team Player: Collaborative mindset with the ability to work independently when needed
Adaptability: Willingness to learn new technologies and adapt to evolving requirements
Career Growth & Learning Opportunities
At arenaflex, we are invested in the growth and development of our team members. As a Senior Data Engineer, you will have numerous opportunities to advance your career:
Technical Leadership: Progress into lead engineer or architect roles where you can guide technical decisions and mentor junior team members
Specialization: Develop expertise in specialized areas such as real-time streaming, machine learning pipelines, or data governance
Cross-Functional Exposure: Work with different business units and gain a broad understanding of enterprise data needs
Professional Development: Access to training programs, certifications, and conferences to stay current with industry trends
Innovation Labs: Opportunity to participate in innovation initiatives and proof-of-concept projects
Work Environment & Culture
arenaflex offers a collaborative, inclusive, and innovative work environment where your contributions are valued and recognized. We foster a culture of continuous improvement, teamwork, and respect. Our team members enjoy the flexibility to work in a hybrid or remote arrangement, balancing professional excellence with personal well-being.
We believe in maintaining a healthy work-life balance and offer flexible working hours to accommodate our team members' needs. Our offices are equipped with state-of-the-art technology, and we provide the tools and resources necessary for you to succeed in your role.
Compensation & Benefits
We offer competitive compensation packages that reflect your experience, skills, and contributions. Our comprehensive benefits package includes:
Competitive hourly rate of $28+ per hour (commensurate with experience)
Health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Professional development opportunities
Employee assistance program
Various perks and discounts
Join Our Team
If you are passionate about data engineering, thrive in collaborative environments, and want to be part of a team that's transforming how organizations leverage data, we want to hear from you! This is an exciting opportunity to join arenaflex and contribute to meaningful projects that make a real difference.
At arenaflex, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and experiences to apply.
Don't miss this opportunity to advance your career as a Senior Data Engineer with a leading organization. Apply today and become part of our innovative team!
Ready to make an impact? Apply now and take the first step toward an exciting career at arenaflex!
Welcome to arenaflex, where innovation meets imagination! We are a dynamic and forward-thinking organization that thrives on the power of data to transform businesses and create extraordinary experiences. As a leader in our industry, we are committed to building robust data infrastructure that powers decision-making across all levels of our organization. Our team is comprised of passionate data professionals who collaborate, innovate, and push the boundaries of what's possible in the world of data engineering.
At arenaflex, we believe that great data engineering is the foundation of exceptional business intelligence. We are currently seeking a talented and experienced Senior Data Engineer to join our Information Design group within our Data and Digital Solutions division. This is a fantastic opportunity for a data professional who is eager to make a significant impact, work with cutting-edge technologies, and grow their career in a supportive and innovative environment.
Position Overview
We are looking for a Senior Data Engineer who will be responsible for designing and executing sophisticated ETL/ELT data pipelines, planning and implementing database mappings, tables, and views, and building batch processes using Apache Airflow for multiple critical projects. This role is central to our data operations and requires someone who can collaborate effectively with various stakeholders across the organization.
As a Senior Data Engineer at arenaflex, you will work closely with our Studios and Project Technology teams on diverse activities including data requirements gathering, data validation scripting and review, developing and testing ETL/ELT data pipelines, designing and implementing database schemas, tables, and views, and coordinating deployments across multiple environments including Development, QA/UAT, and Production.
Key Responsibilities
Pipeline Development: Design, build, and maintain robust ETL/ELT data pipelines that efficiently process large volumes of data from various sources to destinations
Database Architecture: Plan and implement database mappings, tables, views, and schemas that support business requirements and ensure data integrity
Workflow Automation: Create and manage batch processes using Apache Airflow to automate data workflows and ensure timely data delivery
Collaboration: Partner with Studios and Project Technology teams to gather data requirements and translate business needs into technical solutions
Data Validation: Develop and execute data validation scripts to ensure data quality, accuracy, and consistency across all data assets
Environment Management: Coordinate deployments across Development, QA/UAT, and Production environments
Best Practices: Lead and promote best practices in data engineering software development processes
Documentation: Maintain comprehensive documentation of data pipelines, schemas, and processes
Performance Optimization: Monitor and optimize pipeline performance to ensure efficient data processing
Innovation: Stay current with emerging technologies and propose innovative solutions to improve our data infrastructure
Technologies We Use
Our data infrastructure leverages a modern technology stack, and you will work with a variety of tools including:
SQL and Python for data manipulation and pipeline development
Docker for containerization
GitLab for version control and CI/CD
Apache Airflow for workflow orchestration
Snowflake for cloud data warehousing
AWS S3 for cloud storage solutions
PostgreSQL for relational database management
Looker for business intelligence and visualization
Cloud-based platforms, preferably AWS
Required Qualifications & Experience
Experience: Minimum 2+ years of experience in an Information Engineering role
SQL Expertise: 2+ years of hands-on experience with SQL for data querying, manipulation, and database management
Pipeline Development: 2+ years of experience designing, building, and maintaining ETL/ELT data pipelines
Cloud Technologies: 2+ years of experience with cloud-based technologies, preferably AWS and S3
Platform Management: 2+ years of experience managing a cloud platform
Data Architecture: 2+ years of experience working with data lakes, data warehouses, and application databases
Database Design: 2+ years of experience designing and building relational databases
Version Control: 2+ years of experience using GitLab/GitHub for source code management
Containerization: 2+ years of experience using Docker
Big Data Technologies: Experience working with large datasets and big data technologies, preferably cloud-based platforms such as Snowflake, Databricks, or similar
Preferred Qualifications
Experience with Apache Airflow, GitLab, Snowflake, and Tableau
Master's degree in Computer Science, Mathematics, Engineering, or a related field
Experience in streaming, media, or digital advertising domains
Strong knowledge of data modeling best practices
Experience with real-time data processing frameworks
Familiarity with machine learning data pipelines
Experience in Agile/Scrum development methodologies
Education Requirements
Bachelor's degree in Computer Science, Mathematics, Engineering, or a connected field is required. A Master's degree is preferred but not mandatory if you have equivalent practical experience.
Skills & Competencies
To succeed in this role, you should possess:
Technical Proficiency: Strong coding skills in Python and SQL with the ability to write efficient, maintainable code
Problem-Solving: Excellent analytical and problem-solving abilities to tackle complex data challenges
Communication: Strong verbal and written communication skills to effectively collaborate with cross-functional teams
Attention to Detail: Meticulous attention to data quality and accuracy
Time Management: Ability to manage multiple priorities and meet deadlines in a fast-paced environment
Team Player: Collaborative mindset with the ability to work independently when needed
Adaptability: Willingness to learn new technologies and adapt to evolving requirements
Career Growth & Learning Opportunities
At arenaflex, we are invested in the growth and development of our team members. As a Senior Data Engineer, you will have numerous opportunities to advance your career:
Technical Leadership: Progress into lead engineer or architect roles where you can guide technical decisions and mentor junior team members
Specialization: Develop expertise in specialized areas such as real-time streaming, machine learning pipelines, or data governance
Cross-Functional Exposure: Work with different business units and gain a broad understanding of enterprise data needs
Professional Development: Access to training programs, certifications, and conferences to stay current with industry trends
Innovation Labs: Opportunity to participate in innovation initiatives and proof-of-concept projects
Work Environment & Culture
arenaflex offers a collaborative, inclusive, and innovative work environment where your contributions are valued and recognized. We foster a culture of continuous improvement, teamwork, and respect. Our team members enjoy the flexibility to work in a hybrid or remote arrangement, balancing professional excellence with personal well-being.
We believe in maintaining a healthy work-life balance and offer flexible working hours to accommodate our team members' needs. Our offices are equipped with state-of-the-art technology, and we provide the tools and resources necessary for you to succeed in your role.
Compensation & Benefits
We offer competitive compensation packages that reflect your experience, skills, and contributions. Our comprehensive benefits package includes:
Competitive hourly rate of $28+ per hour (commensurate with experience)
Health, dental, and vision insurance
401(k) retirement plan with company matching
Paid time off and holidays
Professional development opportunities
Employee assistance program
Various perks and discounts
Join Our Team
If you are passionate about data engineering, thrive in collaborative environments, and want to be part of a team that's transforming how organizations leverage data, we want to hear from you! This is an exciting opportunity to join arenaflex and contribute to meaningful projects that make a real difference.
At arenaflex, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and experiences to apply.
Don't miss this opportunity to advance your career as a Senior Data Engineer with a leading organization. Apply today and become part of our innovative team!
Ready to make an impact? Apply now and take the first step toward an exciting career at arenaflex!