Experienced Data Engineer – Forecasting & Big Data Engineering Specialist
Are you ready to join one of the world's most innovative teams and help shape the future of predictive analytics? At arenaflex, we're not just building data pipelines—we're solving some of the most complex technical challenges in the industry today. Our Forecasting and Estimation group is at the forefront of revolutionizing how organizations predict demand, optimize operations, and make data-driven decisions on a global scale.
We're currently seeking a talented and passionate Data Engineer to join our Forecasting Core Data Engineering team. In this role, you'll be instrumental in developing scalable data transformation pipelines that ingest information from diverse sources, creating robust big data foundations that power cutting-edge machine learning models designed to forecast demand worldwide. If you're fascinated by the challenge of using technology to predict the future, this is the perfect team for you.
Why Join arenaflex?
At arenaflex, we believe that great data engineering is the backbone of every successful AI and analytics initiative. As a member of our Demand Forecasting team, you'll play a critical role in tackling some of the world's most intricate technical challenges in data engineering. You'll leverage large-scale processing platforms to construct expansive datasets used in distributed systems for machine learning and statistical analysis—among many other groundbreaking applications.
Our culture thrives on innovation, collaboration, and pushing the boundaries of what's possible. We value individuals who are curious, driven, and excited about making a meaningful impact. When you join arenaflex, you're not just taking a job—you're becoming part of a team that's transforming industries and redefining what's achievable through data.
What You'll Do
As a Data Engineer on our Forecasting team, you'll serve as a technical expert with significant scope and influence. You'll work closely with a dynamic group of software development engineers, product managers, data scientists, and business intelligence specialists to build the data infrastructure and data processing pipelines that drive our team's initiatives forward.
Your responsibilities will span the entire data lifecycle, from gathering and understanding data requirements to building and maintaining massive data repositories that prepare information for AI models, data scientists, and business intelligence analysts. You'll collaborate with programmers to achieve excellent data ingestion and transformation solutions, ensuring data quality and accessibility across the organization.
Key Responsibilities
Design and implement scalable data solutions using AWS and arenaflex's internal tooling infrastructure
Create and maintain business logic for data transformation and ingestion pipelines
Build and manage datasets in arenaflex's data lake and internal data management systems using S3/Spark
Perform data analysis and investigation to understand the impact of changes on downstream clients' use cases
Develop transformation logic to ingest data for Forecasting data analysis initiatives
Deliver high-quality data to internal data consumers and stakeholders
Collaborate with cross-functional teams to address data quality issues and resolve data requirements for experiments, model training, and backtesting
Generate forecasts on a regular basis and support the data needs of AI and machine learning initiatives
A Day in the Life
Every day presents new opportunities to work with data at scale. You'll provide data not only to machine learning models but also to our direct clients in Business Intelligence and Data Science. Your role involves helping teams gain access to the data they need for analysis, working closely with them to address data quality issues, and resolving data requirements for experiments, model training, and backtesting. You'll be the bridge that connects data producers with data consumers, ensuring that the right information reaches the right people at the right time.
What We're Looking For
We're seeking candidates with a strong engineering background who are passionate about solving complex problems and thrive in environments where they're challenged to work on intricate systems under extreme loads. You should be comfortable working with structured data and possess the ability to analyze and transform data using various tools and technologies.
Essential Qualifications
Experience: 2+ years of data engineering experience
Technical Skills: Demonstrated experience with data modeling, data warehousing, and building ETL pipelines
Education: Bachelor's degree or equivalent experience; Master's degree is a plus
Database Skills: Strong proficiency in SQL is required
Programming: Experience with scripting languages is essential
Analytical Abilities: Strong analytical skills with the ability to dive deep into business data to understand and measure sources of variation
Data Architecture: Knowledge of mapping, metadata, and data structures in the big data ecosystem
Preferred Qualifications
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases and data stores (object storage, document or key-value stores, graph databases, column-family databases)
3+ years of data engineering experience
Experience designing and developing high-scalability ETLs with EMR-based applications
Familiarity with Spark ETL or Redshift
Knowledge of big data architecture and design patterns
Note: If you're unsure whether you meet every single qualification listed above, we still encourage you to apply! At arenaflex, we value people with unique backgrounds, experiences, and skill sets. If you're passionate about this role and want to make an impact on a global scale, please apply!
What's In It For You
Career Growth and Learning Opportunities
At arenaflex, your career trajectory is limited only by your ambition. We invest heavily in our employees' professional development, offering comprehensive training programs, mentorship opportunities, and exposure to cutting-edge technologies. You'll work alongside some of the brightest minds in the industry, learning from experts in data engineering, machine learning, and cloud architecture.
This role provides unparalleled opportunities to develop expertise in big data technologies, cloud infrastructure, and predictive analytics. You'll gain hands-on experience with industry-leading tools and platforms while contributing to projects that have real-world impact on a global scale.
Work Environment and Culture
We pride ourselves on fostering an inclusive, diverse, and collaborative work environment. Our teams are geographically distributed, offering flexibility and the ability to work remotely while staying connected through advanced collaboration tools. We believe that the best ideas can come from anywhere, and we encourage open communication, creative thinking, and teamwork across all levels of the organization.
arenaflex is committed to maintaining a workplace where every employee feels valued, respected, and empowered to succeed. We embrace diversity and believe it strengthens our teams and drives innovation.
Compensation and Benefits
We offer competitive compensation packages that reflect the value our employees bring to the organization. The expected salary range for this position is $70,000 - $80,000 per year, commensurate with experience and qualifications. In addition to competitive base pay, we provide a comprehensive benefits package that includes:
Health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and parental leave
Professional development reimbursement
Wellness programs and resources
Stock options or equity participation programs
Equal Opportunity Employer
arenaflex is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We believe that diverse teams are stronger teams, and we encourage applications from all qualified individuals who share our passion for innovation and excellence.
Ready to Make an Impact?
If you're ready to take the next step in your career and join a team that's transforming the future of data engineering, we want to hear from you! This is your opportunity to work on challenging problems, learn from industry experts, and make a meaningful impact on a global scale.
Don't miss this chance to be part of something extraordinary. Apply today and join the arenaflex team!
How to Apply:
To be considered for this position, please submit your application through our official career portal. You'll need to provide your updated resume, a cover letter highlighting your relevant experience, and any additional documents requested during the application process.
We review applications on a rolling basis, so don't wait—apply now and take the first step toward an exciting new chapter with arenaflex!
We're currently seeking a talented and passionate Data Engineer to join our Forecasting Core Data Engineering team. In this role, you'll be instrumental in developing scalable data transformation pipelines that ingest information from diverse sources, creating robust big data foundations that power cutting-edge machine learning models designed to forecast demand worldwide. If you're fascinated by the challenge of using technology to predict the future, this is the perfect team for you.
Why Join arenaflex?
At arenaflex, we believe that great data engineering is the backbone of every successful AI and analytics initiative. As a member of our Demand Forecasting team, you'll play a critical role in tackling some of the world's most intricate technical challenges in data engineering. You'll leverage large-scale processing platforms to construct expansive datasets used in distributed systems for machine learning and statistical analysis—among many other groundbreaking applications.
Our culture thrives on innovation, collaboration, and pushing the boundaries of what's possible. We value individuals who are curious, driven, and excited about making a meaningful impact. When you join arenaflex, you're not just taking a job—you're becoming part of a team that's transforming industries and redefining what's achievable through data.
What You'll Do
As a Data Engineer on our Forecasting team, you'll serve as a technical expert with significant scope and influence. You'll work closely with a dynamic group of software development engineers, product managers, data scientists, and business intelligence specialists to build the data infrastructure and data processing pipelines that drive our team's initiatives forward.
Your responsibilities will span the entire data lifecycle, from gathering and understanding data requirements to building and maintaining massive data repositories that prepare information for AI models, data scientists, and business intelligence analysts. You'll collaborate with programmers to achieve excellent data ingestion and transformation solutions, ensuring data quality and accessibility across the organization.
Key Responsibilities
Design and implement scalable data solutions using AWS and arenaflex's internal tooling infrastructure
Create and maintain business logic for data transformation and ingestion pipelines
Build and manage datasets in arenaflex's data lake and internal data management systems using S3/Spark
Perform data analysis and investigation to understand the impact of changes on downstream clients' use cases
Develop transformation logic to ingest data for Forecasting data analysis initiatives
Deliver high-quality data to internal data consumers and stakeholders
Collaborate with cross-functional teams to address data quality issues and resolve data requirements for experiments, model training, and backtesting
Generate forecasts on a regular basis and support the data needs of AI and machine learning initiatives
A Day in the Life
Every day presents new opportunities to work with data at scale. You'll provide data not only to machine learning models but also to our direct clients in Business Intelligence and Data Science. Your role involves helping teams gain access to the data they need for analysis, working closely with them to address data quality issues, and resolving data requirements for experiments, model training, and backtesting. You'll be the bridge that connects data producers with data consumers, ensuring that the right information reaches the right people at the right time.
What We're Looking For
We're seeking candidates with a strong engineering background who are passionate about solving complex problems and thrive in environments where they're challenged to work on intricate systems under extreme loads. You should be comfortable working with structured data and possess the ability to analyze and transform data using various tools and technologies.
Essential Qualifications
Experience: 2+ years of data engineering experience
Technical Skills: Demonstrated experience with data modeling, data warehousing, and building ETL pipelines
Education: Bachelor's degree or equivalent experience; Master's degree is a plus
Database Skills: Strong proficiency in SQL is required
Programming: Experience with scripting languages is essential
Analytical Abilities: Strong analytical skills with the ability to dive deep into business data to understand and measure sources of variation
Data Architecture: Knowledge of mapping, metadata, and data structures in the big data ecosystem
Preferred Qualifications
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions
Experience with non-relational databases and data stores (object storage, document or key-value stores, graph databases, column-family databases)
3+ years of data engineering experience
Experience designing and developing high-scalability ETLs with EMR-based applications
Familiarity with Spark ETL or Redshift
Knowledge of big data architecture and design patterns
Note: If you're unsure whether you meet every single qualification listed above, we still encourage you to apply! At arenaflex, we value people with unique backgrounds, experiences, and skill sets. If you're passionate about this role and want to make an impact on a global scale, please apply!
What's In It For You
Career Growth and Learning Opportunities
At arenaflex, your career trajectory is limited only by your ambition. We invest heavily in our employees' professional development, offering comprehensive training programs, mentorship opportunities, and exposure to cutting-edge technologies. You'll work alongside some of the brightest minds in the industry, learning from experts in data engineering, machine learning, and cloud architecture.
This role provides unparalleled opportunities to develop expertise in big data technologies, cloud infrastructure, and predictive analytics. You'll gain hands-on experience with industry-leading tools and platforms while contributing to projects that have real-world impact on a global scale.
Work Environment and Culture
We pride ourselves on fostering an inclusive, diverse, and collaborative work environment. Our teams are geographically distributed, offering flexibility and the ability to work remotely while staying connected through advanced collaboration tools. We believe that the best ideas can come from anywhere, and we encourage open communication, creative thinking, and teamwork across all levels of the organization.
arenaflex is committed to maintaining a workplace where every employee feels valued, respected, and empowered to succeed. We embrace diversity and believe it strengthens our teams and drives innovation.
Compensation and Benefits
We offer competitive compensation packages that reflect the value our employees bring to the organization. The expected salary range for this position is $70,000 - $80,000 per year, commensurate with experience and qualifications. In addition to competitive base pay, we provide a comprehensive benefits package that includes:
Health, dental, and vision insurance
Retirement savings plans with company matching
Paid time off and parental leave
Professional development reimbursement
Wellness programs and resources
Stock options or equity participation programs
Equal Opportunity Employer
arenaflex is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. We believe that diverse teams are stronger teams, and we encourage applications from all qualified individuals who share our passion for innovation and excellence.
Ready to Make an Impact?
If you're ready to take the next step in your career and join a team that's transforming the future of data engineering, we want to hear from you! This is your opportunity to work on challenging problems, learn from industry experts, and make a meaningful impact on a global scale.
Don't miss this chance to be part of something extraordinary. Apply today and join the arenaflex team!
How to Apply:
To be considered for this position, please submit your application through our official career portal. You'll need to provide your updated resume, a cover letter highlighting your relevant experience, and any additional documents requested during the application process.
We review applications on a rolling basis, so don't wait—apply now and take the first step toward an exciting new chapter with arenaflex!