**Experienced Full Stack Data Engineer – Big Data Stack Development and Business Intelligence**
At arenaflex, we're on a mission to revolutionize the way businesses interact with their data. As a leading innovator in the industry, we're seeking an experienced and self-motivated Data Engineer to join our team. In this role, you'll be responsible for designing and developing complex data architectures and business intelligence applications using arenaflex's big data stack. If you're passionate about working with large datasets, data visualization, and business analytics, we want to hear from you.
**About arenaflex**
arenaflex is a cutting-edge organization that's pushing the boundaries of data-driven innovation. Our team of experts is dedicated to providing top-notch solutions that help businesses make informed decisions and drive growth. With a culture that values collaboration, creativity, and continuous learning, we're the perfect place for data enthusiasts to thrive.
**Key Responsibilities**
As a Data Engineer at arenaflex, you'll be responsible for:
* Designing, implementing, and maintaining data warehouses and data lakes using arenaflex's big data stack, including Python, Redshift, QuickSight, and EMR.
* Creating and managing ETL pipelines to source data from various financial, AWS, and operational systems, and developing a unified data model for analysis and reporting.
* Developing and supporting real-time data pipelines based on arenaflex's advancements, including EMR, Paste, Redshift, and Athena.
* Collaborating with other engineering teams, product managers, and analysts to implement advanced analytics and machine learning models that leverage our rich datasets for business insights, forecasting, and more.
* Staying up-to-date with the latest big data and analytics technologies to provide innovative solutions and improve efficiency.
* Developing business intelligence dashboards using QuickSight and other tools to provide actionable insights to senior leadership.
* Enabling non-technical stakeholders to drive their own analysis and reporting through self-serve analytics and supporting ad-hoc reporting as needed.
* Working closely with colleagues to drive continuous model deployments for risk management and alerting.
* Managing multiple priorities simultaneously, focusing on high-impact tasks, and collaborating across teams to deliver results.
* Coaching and mentoring junior engineers, promoting a positive team culture, and contributing to the growth of the team.
**Essential Capabilities**
* 3+ years of experience in data engineering, with a strong background in data modeling, warehousing, and ETL pipeline development.
* Proficiency in SQL and experience with data visualization tools like QuickSight.
* Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field.
* Experience in designing and developing data architectures from scratch and maintaining existing systems.
* Ability to manage large and complex datasets, with experience in execution tuning and optimization.
* Proficiency in one of the following programming languages: Python, Ruby, or similar.
* Experience working with big data storage solutions like data lakes and data warehouses.
* Experience in designing data models that support structured and unstructured data.
* Ability to gather requirements and design business metrics for reporting.
**Preferred Capabilities**
* Experience with arenaflex's advancements like Redshift, S3, AWS Paste, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
* Experience with non-relational databases and data stores (object storage, report or key-value stores, graph databases, and column-family databases).
* Master's degree in computer science, engineering, mathematics, statistics, or a related field.
* Experience with programming in Python and related libraries.
**Work Environment and Culture**
arenaflex is committed to creating a diverse and inclusive work environment. We're an equal opportunity employer and don't discriminate based on race, ethnicity, national origin, sexual orientation, gender identity, protected veteran status, disability, age, or other legally protected status. If you're a person with a disability and need accommodations to apply, please let us know.
**Compensation and Benefits**
Our compensation reflects the cost of living across various US geographic markets. The base salary for this position ranges from $35,000 to $40,000 per year in our lowest geographic market up to $205,600 per year in our highest geographic market. Pay is based on various factors, including market area, and may vary depending on work-related information, skills, and experience. arenaflex is a total compensation organization, offering a comprehensive package that includes value, sign-on bonuses, and other forms of compensation, in addition to a full range of clinical, financial, and other benefits.
**How to Apply**
If you're passionate about data engineering and business intelligence, and want to join a team that's pushing the boundaries of innovation, apply now!
**About arenaflex**
arenaflex is a cutting-edge organization that's pushing the boundaries of data-driven innovation. Our team of experts is dedicated to providing top-notch solutions that help businesses make informed decisions and drive growth. With a culture that values collaboration, creativity, and continuous learning, we're the perfect place for data enthusiasts to thrive.
**Key Responsibilities**
As a Data Engineer at arenaflex, you'll be responsible for:
* Designing, implementing, and maintaining data warehouses and data lakes using arenaflex's big data stack, including Python, Redshift, QuickSight, and EMR.
* Creating and managing ETL pipelines to source data from various financial, AWS, and operational systems, and developing a unified data model for analysis and reporting.
* Developing and supporting real-time data pipelines based on arenaflex's advancements, including EMR, Paste, Redshift, and Athena.
* Collaborating with other engineering teams, product managers, and analysts to implement advanced analytics and machine learning models that leverage our rich datasets for business insights, forecasting, and more.
* Staying up-to-date with the latest big data and analytics technologies to provide innovative solutions and improve efficiency.
* Developing business intelligence dashboards using QuickSight and other tools to provide actionable insights to senior leadership.
* Enabling non-technical stakeholders to drive their own analysis and reporting through self-serve analytics and supporting ad-hoc reporting as needed.
* Working closely with colleagues to drive continuous model deployments for risk management and alerting.
* Managing multiple priorities simultaneously, focusing on high-impact tasks, and collaborating across teams to deliver results.
* Coaching and mentoring junior engineers, promoting a positive team culture, and contributing to the growth of the team.
**Essential Capabilities**
* 3+ years of experience in data engineering, with a strong background in data modeling, warehousing, and ETL pipeline development.
* Proficiency in SQL and experience with data visualization tools like QuickSight.
* Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field.
* Experience in designing and developing data architectures from scratch and maintaining existing systems.
* Ability to manage large and complex datasets, with experience in execution tuning and optimization.
* Proficiency in one of the following programming languages: Python, Ruby, or similar.
* Experience working with big data storage solutions like data lakes and data warehouses.
* Experience in designing data models that support structured and unstructured data.
* Ability to gather requirements and design business metrics for reporting.
**Preferred Capabilities**
* Experience with arenaflex's advancements like Redshift, S3, AWS Paste, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
* Experience with non-relational databases and data stores (object storage, report or key-value stores, graph databases, and column-family databases).
* Master's degree in computer science, engineering, mathematics, statistics, or a related field.
* Experience with programming in Python and related libraries.
**Work Environment and Culture**
arenaflex is committed to creating a diverse and inclusive work environment. We're an equal opportunity employer and don't discriminate based on race, ethnicity, national origin, sexual orientation, gender identity, protected veteran status, disability, age, or other legally protected status. If you're a person with a disability and need accommodations to apply, please let us know.
**Compensation and Benefits**
Our compensation reflects the cost of living across various US geographic markets. The base salary for this position ranges from $35,000 to $40,000 per year in our lowest geographic market up to $205,600 per year in our highest geographic market. Pay is based on various factors, including market area, and may vary depending on work-related information, skills, and experience. arenaflex is a total compensation organization, offering a comprehensive package that includes value, sign-on bonuses, and other forms of compensation, in addition to a full range of clinical, financial, and other benefits.
**How to Apply**
If you're passionate about data engineering and business intelligence, and want to join a team that's pushing the boundaries of innovation, apply now!