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Remote Senior Data & Business Intelligence Engineer – ETL Development, Data Warehouse Design, Advanced Reporting – $26/hr – arenaflex

Remote · USA Full-time New today
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About arenaflex – Pioneering Data‑Driven Innovation

arenaflex is a global leader in cutting‑edge technology solutions, renowned for turning massive volumes of data into actionable insights that power strategic decisions. With a culture rooted in curiosity, collaboration, and continuous learning, arenaflex empowers its teams to explore “what‑if” scenarios, challenge assumptions, and deliver transformative outcomes for a diverse portfolio of business partners. As a remote‑first organization, arenaflex embraces flexibility while maintaining a strong sense of community, ensuring every employee feels connected, valued, and equipped to thrive.

Role Overview – Senior Data & Business Intelligence Engineer (Remote)

We are seeking a highly motivated and technically proficient Senior Data & Business Intelligence Engineer to join our Information and Investigation group. In this role, you will design, build, and maintain robust data pipelines, data warehouses, and reporting platforms that enable our business stakeholders to ask critical “what”, “when”, “how”, and “what‑if” questions. This is a unique opportunity to influence the data strategy of a fast‑growing organization, work with a talented cross‑functional team, and make a measurable impact on the company’s bottom line.

Key Responsibilities

  • Architect, develop, and optimize end‑to‑end ETL/ELT pipelines using Python and Apache Airflow to ingest, transform, and load data from diverse sources.
  • Design and implement scalable data warehouse solutions (e.g., Snowflake, Redshift, or Azure Synapse) that support both operational reporting and advanced analytics.
  • Collaborate with product owners, data scientists, and business analysts to translate business requirements into technical specifications and data models.
  • Create and maintain high‑performance data marts, data vaults, and dimensional models in relational databases such as MySQL, SQL Server, and Vertica.
  • Develop interactive dashboards and self‑service reporting solutions using Tableau, Power BI, or similar visualization tools, delivering insights to C‑level executives and operational teams.
  • Write complex, performant SQL queries and stored procedures; conduct query tuning and performance optimization.
  • Establish data governance standards, data quality checks, and documentation practices to ensure reliability and compliance.
  • Partner with IT infrastructure and security teams to implement data protection policies, access controls, and audit trails.
  • Lead code reviews, design walkthroughs, and knowledge‑sharing sessions to foster a culture of technical excellence.
  • Stay current with emerging data technologies, industry best practices, and regulatory changes, proactively recommending enhancements.
  • Own the full lifecycle of data solutions—from concept and prototyping to production deployment and ongoing support.

Essential Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • Experience: Minimum 2 years of hands‑on experience building data pipelines with Python and Apache Airflow (or equivalent orchestration tools).
  • Data Warehouse Expertise: Proven track record designing and maintaining data marts, data warehouses, and data lake architectures using MySQL, SQL Server, Vertica, or comparable platforms.
  • SQL Proficiency: Advanced ability to write, debug, and optimize complex SQL queries and stored procedures.
  • Analytical Acumen: Strong critical‑thinking, problem‑solving, and data‑interpretation skills.
  • Communication Skills: Excellent written and verbal communication, with the ability to convey technical concepts to non‑technical audiences.
  • Reporting Experience: Demonstrated experience delivering executive‑level dashboards and ad‑hoc reports for senior leadership.
  • Time Management: Ability to work under pressure, meet tight deadlines, and manage multiple priorities simultaneously.

Preferred Qualifications & Additional Skills

  • Master’s degree or relevant certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Engineer).
  • Experience with cloud data platforms (AWS, Azure, GCP) and serverless data processing services.
  • Familiarity with big‑data technologies such as Hadoop, Spark, or Kafka.
  • Knowledge of data modeling techniques (Kimball, Inmon) and data vault methodology.
  • Exposure to machine‑learning pipelines and integration of predictive models into BI workflows.
  • Proficiency in additional programming languages (e.g., Scala, Java) or scripting tools (Bash, PowerShell).
  • Previous work in a remote or distributed team environment, demonstrating self‑discipline and effective virtual collaboration.

Core Skills & Competencies

  • Technical Mastery: Deep understanding of relational databases, data warehousing, and ETL/ELT processes.
  • Tool Proficiency: Python, Airflow, SQL, Tableau/Power BI, Git, CI/CD pipelines.
  • Business Insight: Ability to translate business questions into data solutions that drive measurable outcomes.
  • Collaboration: Strong teamwork orientation, building productive relationships with product, engineering, and operations teams.
  • Continuous Learning: Proactive attitude toward staying ahead of industry trends and adopting new technologies.
  • Quality Focus: Commitment to data accuracy, reliability, and governance.

Career Growth & Learning Opportunities

arenaflex invests heavily in employee development. As a senior member of the Data & BI team, you will have access to:

  • Mentorship programs pairing you with senior architects and data scientists.
  • Annual learning stipend for conferences, certifications, or online courses.
  • Opportunities to lead high‑visibility projects that influence company‑wide strategy.
  • Cross‑functional rotations that broaden your expertise in analytics, product management, and engineering.
  • Clear promotion pathways to roles such as Data Architecture Lead, Analytics Director, or Chief Data Officer.

Work Environment & Culture at arenaflex

Our remote‑first philosophy means you can work from anywhere while staying connected through regular virtual stand‑ups, collaborative tools, and quarterly in‑person meet‑ups. arenaflex fosters an inclusive culture where diverse perspectives are celebrated, and innovation thrives. Key cultural pillars include:

  • Transparency: Open communication channels and regular town‑hall updates from leadership.
  • Empowerment: Autonomy to own projects, experiment, and iterate quickly.
  • Well‑Being: Flexible work hours, mental‑health resources, and a supportive community.
  • Recognition: Programs that celebrate individual and team achievements.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $26 per hour, complemented by a comprehensive benefits package that includes:

  • Health, dental, and vision insurance with generous employer contributions.
  • Retirement savings plan with company match.
  • Paid time off, holidays, and sick leave.
  • Remote work allowance for home office setup.
  • Professional development budget and tuition reimbursement.
  • Employee assistance programs and wellness initiatives.
  • Performance‑based bonuses and equity participation.

How to Apply

If you are passionate about turning raw data into strategic assets and thrive in a dynamic, remote environment, we want to hear from you. To join arenaflex’s Data & Business Intelligence team, please submit your resume and a brief cover letter outlining your relevant experience and why you are excited about this opportunity.

Apply Now

Take the Next Step with arenaflex

At arenaflex, your expertise will directly influence the way our organization makes decisions, drives growth, and stays ahead of the competition. Join a forward‑thinking team where data is not just collected—it’s transformed into a competitive advantage. Apply today and become a catalyst for data‑driven success!

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