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Experienced Full Stack Data Engineer - Data Analytics & Data Science

100% Remote Full-time Open now

At arenaflex, we're on a mission to revolutionize the way we approach data analysis and science. As a key member of our team, you'll play a pivotal role in shaping the future of data-driven decision-making. We're seeking an exceptional Full Stack Data Engineer to join our dynamic team, driving innovation and excellence in data analytics and science.

About arenaflex

arenaflex is a leading organization that's pushing the boundaries of data-driven innovation. With a strong focus on data analytics and science, we're committed to delivering cutting-edge solutions that drive business growth and success. Our team is passionate about leveraging data to unlock new insights, drive business decisions, and create a competitive edge.

Job Summary

As a Full Stack Data Engineer at arenaflex, you'll be responsible for designing, developing, and deploying scalable data pipelines, architectures, and systems. You'll work closely with cross-functional teams to drive data-driven decision-making, identify business opportunities, and develop data-driven solutions. Your expertise will be essential in shaping the future of data analytics and science at arenaflex.

Key Responsibilities

* Lead and coach a team of data engineers, providing technical guidance, mentorship, and support in hazard and risk management.

  • Develop and maintain modern software practices through code reviews and design sessions.
  • Collaborate with data scientists, business analysts, and stakeholders to design and develop data-driven solutions.
  • Design and implement scalable data architectures, data pipelines, and systems.
  • Develop and maintain high-quality, modular, and reusable code.
  • Ensure testability, compactness, and reliability of code.
  • Drive business needs through a data-driven approach.
  • Investigate and improve automation, reliability, and monitoring for deployed items.
  • Set the vision for data analysis and reporting, aligning with organizational objectives.
  • Plan, develop, and streamline complex data models and reporting structures.
  • Drive the design and execution of adaptable and effective data analysis and reporting structures.
  • Ensure the integrity, security, and performance of data items and reporting solutions by collaborating with stages, data design, and service groups.
  • Define and implement the long-term technical strategy for data analysis, incorporating advancements and industry trends.
  • Stay up-to-date with emerging technologies and evaluate their relevance to the organization.
  • Collaborate with cross-functional teams, including data scientists, business analysts, data engineers, and IT experts, to develop comprehensive data solutions.
  • Foster a collaborative environment that encourages information sharing and expertise development.
  • Establish and uphold data quality principles and best practices.
  • Execute processes for data validation, purification, and accuracy.
  • Assess and select suitable data analysis and reporting tools to address business needs.
  • Collaborate with design and development teams to create and maintain documentation for data analysis processes, reporting structures, and data models.
  • Monitor the performance of data analysis and reporting systems and provide technical guidance to drive security and flexibility of data items and reporting solutions.
  • Implement measures to streamline performance and investigate issues.
  • Provide critical insights and recommendations based on data analysis to support decision-making at the organizational level.
  • Recommend infrastructure upgrades to support business growth and advancing technology needs.
  • Utilize arenaflex services, such as Azure SQL DW (Neurotransmitter), ADLS, arenaflex Event Hub, Universe, Databricks, Delta-Lake, to improve and accelerate the delivery of data items and services.
  • Develop large data and NoSQL solutions by creating adaptable data handling stages to drive high-value insights to the organization.

Requirements

* Demonstrated experience with at least 15+ years of active involvement in data analysis and reporting roles.

  • 5+ years' experience in leadership or senior roles, demonstrating the ability to effectively guide and lead a team.
  • 5+ years' experience working with cloud technologies, such as ADLS, arenaflex Databricks, Azure, arenaflex Neural Network, Universe DB, DBT, and other big data innovations.
  • Proven expertise in data analysis tools, languages, ML, and systems (e.g., Conos, PowerBI, SQL, Python, R).
  • Capability in data visualization tools, such as Tableau, Power BI, or similar tools, to effectively communicate insights.
  • Demonstrated ability in working with cloud platforms, such as AWS, arenaflex, or Google Cloud, to design and execute adaptable and efficient data analysis solutions.
  • In-depth understanding and practical application of Lakehouse design standards, combining the best of data lakes and data warehouses for powerful and adaptable data management.
  • High-level SQL skills. Strong understanding of social databases and business data capacity to write complex SQL queries against various data sources.
  • Experience managing high-volume and high-speed data streams, and designing systems that can handle the demands of real-time or near-real-time analysis.
  • Experience in shaping the essential vision for data analysis and reporting drives within an organization.
  • Effective management of data analysis projects, including planning, execution, and delivery.
  • Demonstrated ability to drive innovation, adapt to emerging technologies, and execute industry best practices.
  • Demonstrated ability to assume ownership and responsibility of critical issues and close them to resolution.
  • Strong critical thinking and problem-solving skills.

Preferred Qualifications

* Bachelor's or Master's degree in Computer Science, Informatics, Data Science, or related technical discipline.

  • Relevant industry certifications are a plus.
  • Experience in retail, manufacturing, e-commerce, or supply chain.

Compensation and Benefits

* Competitive salary range: $160,000 - $230,000

  • Bonus and Restricted Stock Unit Eligible
  • Comprehensive benefits package, including paid time off, medical benefits - clinical/dental/vision/hearing aid/pharmacy/social well-being/employee assistance, medical reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&D insurance, additional security, 401(k), stock purchase plan to eligible employees

Why Join arenaflex?

* Collaborative and dynamic work environment

  • Opportunities for professional growth and development
  • Competitive compensation and benefits package
  • Collaborative and supportive team culture
  • Opportunities to work on cutting-edge projects and technologies
  • Flexible work arrangements and remote work options

How to Apply

If you're a motivated and experienced Full Stack Data Engineer looking for a new challenge, we encourage you to apply. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you! Apply To This Job Apply for this job

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