About arenaflex
At arenaflex, we believe information is the foundation of success. Our Data Engineering team builds robust database solutions that power critical business functions including reporting, product analysis, marketing optimization, and financial reporting. Through implementing cutting-edge data pipelines, data models, and warehouse architectures, our team serves as the cornerstone for data-driven decision-making across the entire organization.
We're on a mission to empower local economies, and our data infrastructure plays a pivotal role in enabling rapid decision-making, continuous learning, and strategic evolution. As we scale to meet growing business demands, we're seeking a talented Staff Data Engineer to join our team and help us build the next generation of data solutions that will shape the future of our platform.
About the Role
arenaflex is looking for a Staff Data Engineer to serve as a technical powerhouse to help us scale our data infrastructure, automation, and tools to meet evolving business needs. This is a hybrid/flexible position located in or near San Francisco, Sunnyvale, or Seattle.
In this role, you'll be at the forefront of building and maintaining the data systems that power our entire organization. You'll work collaboratively with cross-functional teams to understand data requirements, design scalable solutions, and deliver high-quality data products that drive business intelligence and insights.
What You'll Do
- Collaborate with stakeholders: Work closely with colleagues and partners to understand data requirements and translate business needs into technical specifications
- Cross-functional partnership: Partner with engineering, product teams, and external stakeholders to gather required data and ensure seamless integration
- Design and build data solutions: Architect, develop, and execute large-scale, high-volume, high-performance data models and pipelines for our Data Lake and Data Warehouse environments
- Build reusable frameworks: Create scalable structures that improve the reliability and flexibility of our ETL processes
- Data product ownership: Manage a suite of data products that deliver high-quality, consistent data to stakeholders across the organization
- Mentorship and leadership: Tutor and mentor colleagues to improve their designs and solutions, fostering a culture of technical excellence
- Innovation and optimization: Continuously evaluate and implement new technologies and approaches to improve data infrastructure performance
What We're Looking For
We're excited about this opportunity because you will play a critical role in shaping our data infrastructure. The ideal candidate brings a combination of technical expertise, collaborative spirit, and passion for solving complex data challenges.
Essential Qualifications
- Experience: 3+ years of professional experience in data engineering, business intelligence, or a similar technical role
- Programming expertise: Proficiency in programming languages such as Python and/or Java
- ETL and workflow tools: 3+ years of experience with ETL deployment and workflow management tools such as Airflow, Flink, Oozie, or Azkaban using AWS/GCP cloud platforms
- Database fundamentals: Strong mastery of database fundamentals, SQL, and distributed computing concepts
- Distributed ecosystems: 3+ years of experience in distributed data ecosystems including Spark, Hive, Druid, or similar technologies, and streaming technologies such as Kafka or Flink
- Data platforms: Hands-on experience working with Snowflake, Redshift, PostgreSQL, and/or other DBMS platforms
- Reporting tools: Knowledge of reporting tools such as Tableau, Superset, or Looker
- Communication skills: Excellent interpersonal skills with experience working with both technical and non-technical teams
- Self-motivated: Comfortable working in a fast-paced environment, with strong self-starter qualities and excellent self-organization skills
- Analytical thinking: Ability to think conceptually, analyze, and interpret market and consumer information
- Location: Must be located near one of our engineering hubs (San Francisco, Sunnyvale, or Seattle) for this hybrid role
Preferred Qualifications
- Advanced degree in Computer Science, Engineering, Mathematics, or a related technical field
- Experience with real-time streaming data processing at scale
- Knowledge of machine learning pipelines and MLOps practices
- Experience with data governance and data quality frameworks
- Background in building and maintaining multi-tenant data platforms
- Experience in high-growth technology companies or startup environments
Why Join arenaflex?
Career Growth and Learning Opportunities
At arenaflex, we're growing rapidly and constantly evolving, which offers our colleagues the opportunity to share their unique perspectives, tackle new challenges, and own their careers. We invest heavily in professional development and provide numerous opportunities for learning and growth:
- Access to cutting-edge technologies and tools
- Exposure to large-scale distributed systems handling millions of data points
- Mentorship from experienced senior engineers and technical leaders
- Internal mobility and career advancement opportunities
- Technical rotation programs to expand your skill set
- Conference attendance and professional development budget
Work Environment and Culture
We pride ourselves on fostering an inclusive, collaborative, and innovative work environment where every team member can thrive. Our culture is built on these core principles:
- Innovation first: We encourage experimentation and creative problem-solving
- Collaboration: Cross-functional teamwork is at the heart of everything we do
- Work-life balance: Flexible work arrangements to support your wellbeing
- Continuous learning: We never stop learning and improving
- Transparency: Open communication across all levels of the organization
Compensation and Benefits
We believe in rewarding our team members for their hard work and contributions. The compensation package for this role includes:
- Competitive base salary: Market-competitive salary commensurate with experience and skills
- Equity opportunities: Stock options or equity awards to share in our growth
- Comprehensive health benefits: Premium healthcare coverage for employees and families
- Retirement planning: 401(k) plan with company matching
- Parental leave: Paid parental leave for all new parents
- Wellness programs: Wellness cost reimbursement and mental health support
- Paid time off: Generous PTO policy including vacation, sick leave, and personal days
- Professional development: Learning and development opportunities including courses, certifications, and conferences
- Stocked offices: Free meals, snacks, and beverages in our office locations
Our Commitment to Diversity and Inclusion
We're committed to growing and enabling a more inclusive community within our company, industry, and cities. That's why we hire and develop diverse teams from all backgrounds, experiences, and perspectives. We believe that genuine growth happens when everyone has a seat at the table and the tools, resources, and opportunity to succeed.
arenaflex is an equal opportunity employer. We do not discriminate against any employee or applicant based on race, color, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, veteran status, or any other protected characteristic. We welcome and encourage applications from diverse candidates, including women, non-binary or gender non-conforming individuals, LGBTQIA+, Native American or Indigenous, Black or African American, Hispanic or Latinx, differently-abled individuals, caregivers, and veterans.
If you require any accommodations during the application or interview process, please let your recruiting contact know. We're happy to make reasonable accommodations to ensure an inclusive experience for all candidates.
Ready to Make an Impact?
If you're passionate about data engineering, excited about building scalable solutions, and want to be part of a team that's transforming how businesses leverage data, we want to hear from you!
Join arenaflex and be part of a team that's moving quickly, learning continuously, and making decisions that show empathy for our entire ecosystem—from our partners to our customers. Together, we'll build the data infrastructure that powers the future of commerce.
Apply today and take the first step toward an exciting career with arenaflex!