Data Engineer – Data Ventures | Big Data Engineering, Pipeline Development & Retail Analytics at arenaflex
arenaflex Data Engineer Position – Join Our Global Technology Team and Transform Retail Through Data Innovation
Are you ready to make an impact? Step into a role where your technical expertise will shape the future of retail technology and influence millions of customers worldwide. At arenaflex, we are seeking a talented and passionate Data Engineer to join our Data Ventures team, where you will be at the forefront of building cutting-edge data infrastructure that powers transformative shopping experiences across all our channels.
About arenaflex Global Technology
Imagine working in an environment where a single line of code can make life easier for millions of people. That is exactly what we do at arenaflex Global Technology. We are a team of programmers, data scientists, cybersecurity experts, and management professionals within the world's leading retailer who have a legendary impact and are at the front of the next retail revolution. People are the reason we innovate, and people power our developments. We train our team in the skills of the future and acquire experts like you to help us grow. We play roles for those seeking their first opportunity as well as those looking for the opportunity that will define their career. Here, you can launch an extraordinary career in tech, gain new skills and experience for practically every industry, or apply your expertise to grow at scale, impact millions, and redefine the future of retail.
About the Data Ventures Team
Our Data Ventures team creates reusable technologies to help with client acquisition, onboarding, and enabling merchants, while ensuring a seamless experience for both partners. We also enhance responsibilities and diversity according to arenaflex's Everyday Low Price philosophy. We deliver affordability, but we also provide customized experiences for customers across all channels – in-store, mobile application, and websites. Our team is responsible for offering support to US Marketplace merchants. We focus on providing fast solutions for the cases/tickets made by merchants. We connect with many teams across the organization to provide exceptional merchant experience.
What You'll Do
Do you have endless energy and enthusiasm for designing information used to tackle dynamic issues that will shape the fate of retail? With the sheer size of arenaflex's current circumstance comes the greatest of enormous informational collections. As an arenaflex Data Specialist, you will dive into our mammoth size of information to assist with releasing the force of retail information science by envisioning, creating, and keeping up with information pipelines that our Information Researchers and Examiners can depend on. You will be liable for adding to a coordination layer of perplexing information changes, refining crude information from source into designated, important information assets for utilization in a represented manner. You will collaborate with Information Researchers, Investigators, different designers, and business partners to settle perplexing and energizing difficulties so we can work out capacities that develop the retail plan of action while having a beneficial outcome on our clients' lives.
Your Key Responsibilities Will Include:
Data Transformation and Integration
Concentrates data from distinguished data sets and creates robust data pipelines
Transform data to a structure that is relevant to the problem by selecting appropriate methods
Generates data on current analysis trends and emerging technologies
Design and implement efficient ETL processes for large-scale data operations
Data Source Identification
Supports the understanding of the need demand of requirements and service level arrangements
Identifies the most suitable source for data that is fit for purpose
Performs initial data quality checks on extracted data
Evaluates data sources for reliability and scalability
Data Modeling
Analyzes complex data elements, systems, data streams, conditions, and relationships
Contributes to conceptual, physical, and logical data models
Fosters the Logical Data Model and Physical Data Models including data warehouse and data store designs
Defines relational tables, primary and foreign keys, and stored procedures to create an data model architecture
Evaluates existing data models and physical databases for variances and inconsistencies
Generates efficient data streams and examines data related system integration challenges
Code Development and Testing
Writes code to develop the required solution and application features by determining the appropriate programming language
Utilizes business, technical, and data requirements effectively
Creates test cases to review and validate the proposed solution design
Makes proofs of concept and tests the code using appropriate testing approaches
Deploys software to production servers with minimal downtime
Contributes code documentation, maintains playbook, and provides optimal development updates
Applied Business Intelligence
Provides recommendations to business partners to address complex business issues
Develops business cases for projects with an extended return on investment or cost savings
Translates business requirements into projects, activities, and tasks and adapts to overall business process
Serves as the need arises with tangible solutions and results
Suggests new processes and approaches to working
Data Governance
Establishes, adjusts, and reports data governance activities and recommendations
Implements data governance practices in partnership with business partners and peers
Interprets organization and regulatory policies on data
Educates others on data governance processes, practices, methods, and rules
Provides recommendations on required updates or contributions to data governance policies, practices, or rules
Leadership and Mentorship
Exhibits exceptional expertise and applies this to the development, execution, and improvement of action plans
Provides expert advice and guidance to others in the organization
Supports and adjusts efforts to meet client and business needs
Builds commitment for perspectives and reasoning across teams
Provides and supports the execution of business solutions by building relationships and networks with key stakeholders
Identifies business needs, determining and executing essential processes and practices
Process Improvement and Community Engagement
Promotes and supports organization policies, procedures, mission, values, and standards of ethics and integrity
Provides training and guidance to ensure compliance with organizational standards
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, projects, and initiatives
Applies concepts for improving efficiency and cost effectiveness
Participates in and supports community outreach events
Creates training documentation and trains end-users on data modeling
Supervises the tasks of less experienced programmers and specifies system troubleshooting supports
What You'll Bring
We are looking for candidates with a strong technical background and a passion for data engineering. The ideal candidate will have:
Required Qualifications
Technical Expertise: Proficient with Hadoop, Flash, Cloud, Python/PySpark and Java, Streaming, Kafka, and Backend technologies
Programming Skills: A proven track record coding with at least one programming language (e.g., Scala, Python)
Cloud Platforms: Knowledgeable in one of cloud computing platforms (e.g., GCP, Azure)
Data Modeling: Skilled in data modeling and data migration protocols
Experience: Experience with GCP, Data warehousing, BI preferred
Integration Tools: Experience with integration tools like Automic, Wind current
Big Data Solutions: Experience in building highly scalable Big Data solutions and ETL ecosystems
Education: Bachelor's degree in Computer Science or related field
Preferred Qualifications
Knowledge of Databricks is an additional benefit
Hands-on experience in NoSQL like Cosmos DB along with RDBMS like MySQL, Postgres is a plus
Hands-on working experience with any messaging platform like Kafka is preferred
Ability to increase the efficiency of the team by fixing Cycles of Software Development, Requirement Intake, Effort Assessment
Exhibiting innovative, critical thinking, and troubleshooting skills
Graduate degree in Computer Science or related field with 2 years of experience in programming or related field
Background in data engineering, database engineering, business intelligence, or business analysis
Career Growth and Learning Opportunities
At arenaflex, we believe in investing in our people. As a Data Engineer on our team, you will have access to:
Comprehensive training programs in the latest data engineering technologies
Mentorship from industry experts and senior technical leaders
Opportunities to work on high-impact projects that affect millions of customers
Career advancement paths in data engineering, architecture, and technical leadership
Cross-functional collaboration with data scientists, analysts, and business partners
Exposure to cutting-edge big data technologies and cloud platforms
Professional development resources and certification support
Work Environment and Culture
At arenaflex, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability — and everything in between. As an arenaflex partner, you will play an integral role in shaping the future of retail, tech, marketing, finance, and many other industries — all while impacting the lives of millions of customers from around the world. Here, your work has an impact every day.
We use a hybrid approach to working that is primarily in office combined with virtual when not on site. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make faster decisions, remove location barriers across our global team, and be more flexible in our personal lives.
Compensation and Benefits
Beyond our competitive salary package, you can receive inspiration grants for your performance. Other great benefits include:
401(k) match and retirement planning assistance
Stock purchase plan
Paid maternity and parental leave
Paid Time Off (PTO)
Comprehensive health plans covering medical, dental, and vision
Life insurance and disability coverage
Employee assistance programs
Various wellness programs and employee discounts
Education assistance and tuition reimbursement
Equal Opportunity Employer
arenaflex, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our partners, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing diversity of unique styles, experiences, personalities, ideas, and opinions — while being inclusive regardless of background. We are human driven and tech-engaged, and we foster an environment where everyone can thrive and contribute their best work.
The above information has been designed to demonstrate the overall nature and level of work performed in the job. It is not intended to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications expected of employees assigned to this work. The full job description can be made available as part of the recruiting process.
Minimum Qualifications
Option 1: Bachelor's degree in Computer Science and 2 years' experience in programming or related field
Option 2: 4 years' experience in programming or related field
Option 3: Master's degree in Computer Science
Ready to Make an Impact?
If you are passionate about data engineering, thrive in collaborative environments, and want to be part of a team that is transforming retail through technology, we want to hear from you! Join arenaflex and help us build the future of retail while advancing your career in one of the most dynamic and rewarding tech environments in the industry.
Don't miss this opportunity to grow your career with a global leader in retail technology. Apply today and become part of the arenaflex family where innovation meets impact!
Are you ready to make an impact? Step into a role where your technical expertise will shape the future of retail technology and influence millions of customers worldwide. At arenaflex, we are seeking a talented and passionate Data Engineer to join our Data Ventures team, where you will be at the forefront of building cutting-edge data infrastructure that powers transformative shopping experiences across all our channels.
About arenaflex Global Technology
Imagine working in an environment where a single line of code can make life easier for millions of people. That is exactly what we do at arenaflex Global Technology. We are a team of programmers, data scientists, cybersecurity experts, and management professionals within the world's leading retailer who have a legendary impact and are at the front of the next retail revolution. People are the reason we innovate, and people power our developments. We train our team in the skills of the future and acquire experts like you to help us grow. We play roles for those seeking their first opportunity as well as those looking for the opportunity that will define their career. Here, you can launch an extraordinary career in tech, gain new skills and experience for practically every industry, or apply your expertise to grow at scale, impact millions, and redefine the future of retail.
About the Data Ventures Team
Our Data Ventures team creates reusable technologies to help with client acquisition, onboarding, and enabling merchants, while ensuring a seamless experience for both partners. We also enhance responsibilities and diversity according to arenaflex's Everyday Low Price philosophy. We deliver affordability, but we also provide customized experiences for customers across all channels – in-store, mobile application, and websites. Our team is responsible for offering support to US Marketplace merchants. We focus on providing fast solutions for the cases/tickets made by merchants. We connect with many teams across the organization to provide exceptional merchant experience.
What You'll Do
Do you have endless energy and enthusiasm for designing information used to tackle dynamic issues that will shape the fate of retail? With the sheer size of arenaflex's current circumstance comes the greatest of enormous informational collections. As an arenaflex Data Specialist, you will dive into our mammoth size of information to assist with releasing the force of retail information science by envisioning, creating, and keeping up with information pipelines that our Information Researchers and Examiners can depend on. You will be liable for adding to a coordination layer of perplexing information changes, refining crude information from source into designated, important information assets for utilization in a represented manner. You will collaborate with Information Researchers, Investigators, different designers, and business partners to settle perplexing and energizing difficulties so we can work out capacities that develop the retail plan of action while having a beneficial outcome on our clients' lives.
Your Key Responsibilities Will Include:
Data Transformation and Integration
Concentrates data from distinguished data sets and creates robust data pipelines
Transform data to a structure that is relevant to the problem by selecting appropriate methods
Generates data on current analysis trends and emerging technologies
Design and implement efficient ETL processes for large-scale data operations
Data Source Identification
Supports the understanding of the need demand of requirements and service level arrangements
Identifies the most suitable source for data that is fit for purpose
Performs initial data quality checks on extracted data
Evaluates data sources for reliability and scalability
Data Modeling
Analyzes complex data elements, systems, data streams, conditions, and relationships
Contributes to conceptual, physical, and logical data models
Fosters the Logical Data Model and Physical Data Models including data warehouse and data store designs
Defines relational tables, primary and foreign keys, and stored procedures to create an data model architecture
Evaluates existing data models and physical databases for variances and inconsistencies
Generates efficient data streams and examines data related system integration challenges
Code Development and Testing
Writes code to develop the required solution and application features by determining the appropriate programming language
Utilizes business, technical, and data requirements effectively
Creates test cases to review and validate the proposed solution design
Makes proofs of concept and tests the code using appropriate testing approaches
Deploys software to production servers with minimal downtime
Contributes code documentation, maintains playbook, and provides optimal development updates
Applied Business Intelligence
Provides recommendations to business partners to address complex business issues
Develops business cases for projects with an extended return on investment or cost savings
Translates business requirements into projects, activities, and tasks and adapts to overall business process
Serves as the need arises with tangible solutions and results
Suggests new processes and approaches to working
Data Governance
Establishes, adjusts, and reports data governance activities and recommendations
Implements data governance practices in partnership with business partners and peers
Interprets organization and regulatory policies on data
Educates others on data governance processes, practices, methods, and rules
Provides recommendations on required updates or contributions to data governance policies, practices, or rules
Leadership and Mentorship
Exhibits exceptional expertise and applies this to the development, execution, and improvement of action plans
Provides expert advice and guidance to others in the organization
Supports and adjusts efforts to meet client and business needs
Builds commitment for perspectives and reasoning across teams
Provides and supports the execution of business solutions by building relationships and networks with key stakeholders
Identifies business needs, determining and executing essential processes and practices
Process Improvement and Community Engagement
Promotes and supports organization policies, procedures, mission, values, and standards of ethics and integrity
Provides training and guidance to ensure compliance with organizational standards
Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, projects, and initiatives
Applies concepts for improving efficiency and cost effectiveness
Participates in and supports community outreach events
Creates training documentation and trains end-users on data modeling
Supervises the tasks of less experienced programmers and specifies system troubleshooting supports
What You'll Bring
We are looking for candidates with a strong technical background and a passion for data engineering. The ideal candidate will have:
Required Qualifications
Technical Expertise: Proficient with Hadoop, Flash, Cloud, Python/PySpark and Java, Streaming, Kafka, and Backend technologies
Programming Skills: A proven track record coding with at least one programming language (e.g., Scala, Python)
Cloud Platforms: Knowledgeable in one of cloud computing platforms (e.g., GCP, Azure)
Data Modeling: Skilled in data modeling and data migration protocols
Experience: Experience with GCP, Data warehousing, BI preferred
Integration Tools: Experience with integration tools like Automic, Wind current
Big Data Solutions: Experience in building highly scalable Big Data solutions and ETL ecosystems
Education: Bachelor's degree in Computer Science or related field
Preferred Qualifications
Knowledge of Databricks is an additional benefit
Hands-on experience in NoSQL like Cosmos DB along with RDBMS like MySQL, Postgres is a plus
Hands-on working experience with any messaging platform like Kafka is preferred
Ability to increase the efficiency of the team by fixing Cycles of Software Development, Requirement Intake, Effort Assessment
Exhibiting innovative, critical thinking, and troubleshooting skills
Graduate degree in Computer Science or related field with 2 years of experience in programming or related field
Background in data engineering, database engineering, business intelligence, or business analysis
Career Growth and Learning Opportunities
At arenaflex, we believe in investing in our people. As a Data Engineer on our team, you will have access to:
Comprehensive training programs in the latest data engineering technologies
Mentorship from industry experts and senior technical leaders
Opportunities to work on high-impact projects that affect millions of customers
Career advancement paths in data engineering, architecture, and technical leadership
Cross-functional collaboration with data scientists, analysts, and business partners
Exposure to cutting-edge big data technologies and cloud platforms
Professional development resources and certification support
Work Environment and Culture
At arenaflex, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability — and everything in between. As an arenaflex partner, you will play an integral role in shaping the future of retail, tech, marketing, finance, and many other industries — all while impacting the lives of millions of customers from around the world. Here, your work has an impact every day.
We use a hybrid approach to working that is primarily in office combined with virtual when not on site. Our campuses serve as a hub to enhance collaboration, bring us together for purpose, and deliver on business needs. This approach helps us make faster decisions, remove location barriers across our global team, and be more flexible in our personal lives.
Compensation and Benefits
Beyond our competitive salary package, you can receive inspiration grants for your performance. Other great benefits include:
401(k) match and retirement planning assistance
Stock purchase plan
Paid maternity and parental leave
Paid Time Off (PTO)
Comprehensive health plans covering medical, dental, and vision
Life insurance and disability coverage
Employee assistance programs
Various wellness programs and employee discounts
Education assistance and tuition reimbursement
Equal Opportunity Employer
arenaflex, Inc. is an Equal Opportunity Employer - By Choice. We believe we are best equipped to help our partners, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing diversity of unique styles, experiences, personalities, ideas, and opinions — while being inclusive regardless of background. We are human driven and tech-engaged, and we foster an environment where everyone can thrive and contribute their best work.
The above information has been designed to demonstrate the overall nature and level of work performed in the job. It is not intended to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications expected of employees assigned to this work. The full job description can be made available as part of the recruiting process.
Minimum Qualifications
Option 1: Bachelor's degree in Computer Science and 2 years' experience in programming or related field
Option 2: 4 years' experience in programming or related field
Option 3: Master's degree in Computer Science
Ready to Make an Impact?
If you are passionate about data engineering, thrive in collaborative environments, and want to be part of a team that is transforming retail through technology, we want to hear from you! Join arenaflex and help us build the future of retail while advancing your career in one of the most dynamic and rewarding tech environments in the industry.
Don't miss this opportunity to grow your career with a global leader in retail technology. Apply today and become part of the arenaflex family where innovation meets impact!