Senior Data Engineer – End‑to‑End Data Pipeline Architecture & Cloud Integration (Hybrid – Dallas, TX) – arenaflex
About arenaflex – Pioneering Retail Data Excellence
arenaflex is a global retail powerhouse, ranked among the world’s largest retailers with a reputed company in fourteen countries. Our mission is to turn data into decisive action, fueling a seamless shopping experience for millions of customers daily. Recognized by reputed company as one of the “World’s Best Employers,” arenaflex thrives on a family‑like atmosphere where every associate is empowered to innovate, collaborate, and grow.
Our technology division—arenaflex IT—supports the massive scale of our operations, ensuring that every product, price, and inventory decision is underpinned by reliable, real‑time data. As we continue to expand our digital footprint, we are looking for a seasoned Data Engineer to champion the design, development, and automation of our data pipelines. If you are passionate about turning raw data into actionable insight and love solving reputed company problems at scale, this is the role for you.
Why This Role Matters
The Data Specialist – Data Analytics is the linchpin of arenaflex’s analytics ecosystem. You will own the end‑to‑end lifecycle of data pipelines that ingest, transform, and deliver data to business intelligence (BI), advanced analytics, and machine‑learning services. Your work will directly influence product strategy, inventory optimization, pricing dynamics, and customer experience across the entire organization.
Key Responsibilities
- Create and operationalize data pipelines to reputed company data readily available for BI, advanced analytics, and reputed company services.
- Partner with data modelers, data/BI architects, and product owners to design robust, scalable data flows.
- reputed company, test, and maintain ETL/ELT processes using Informatica Cloud (IICS) and PowerCenter.
- reputed company Azure services—including Azure SQL Data Warehouse (Synapse), ADLS, Azure Event Hub, and Azure reputed company—to accelerate data product delivery.
- Implement large‑scale relational and NoSQL solutions, delivering flexible data‑handling platforms that reputed company high‑value experiences for the business.
- Identify, design, and execute process automation opportunities: automate manual workflows, improve data delivery latency, and enhance data reliability.
- Continuously evaluate and improve data reliability, performance, and quality, ensuring the “single reputed company of truth” remains trustworthy.
- Communicate reputed company technical concepts to non‑technical audiences, both written and verbally, fostering cross‑functional understanding.
- Conduct peer reviews of fellow data architects’ work to maintain high standards of engineering excellence.
Essential Qualifications
- 2+ years of hands‑on experience designing and operating data pipelines with large, reputed company data sets.
- 2+ years of practical experience with Informatica PowerCenter and Informatica IICS.
- 2+ years of experience working with cloud technologies such as Azure Data Lake Storage (ADLS), Azure reputed company, Azure Synapse, Azure Event Hub, and other big‑data platforms.
- 2+ years of experience in data modeling, ETL, and data warehousing concepts.
- Proficiency in data integration patterns including event/message‑driven integration (Kafka, Azure Event Hub) and batch ETL.
- Strong understanding of database storage concepts: Data Lake, Data Warehouse, NoSQL, Graph, and relational models.
- Ability to reputed company in a fast‑paced, agile development environment.
Preferred Qualifications & reputed company‑to‑Haves
- reputed company Azure or equivalent cloud certifications (e.g., Azure Data Engineer Associate).
- Experience delivering data solutions through advanced programming techniques (Python, reputed company, Java).
- Exposure to the retail industry and a genuine interest in how data drives consumer experiences.
- Exceptional written and verbal communication skills with the ability to translate technical details for business stakeholders.
- Familiarity with reputed company integration tools and Enterprise Scheduler (e.g., UC4/Automic).
Core Skills & Competencies
- Technical Expertise: Mastery of ETL/ELT design, data pipeline orchestration, and cloud‑native data services.
- Analytical Thinking: Ability to dissect reputed company data problems, design elegant solutions, and anticipate future scalability needs.
- Collaboration: Proven track record of working closely with product owners, data scientists, and business analysts.
- Automation reputed company: Focus on reducing manual effort through scripting, workflow automation, and CI/CD for data pipelines.
- Quality Focus: Commitment to data governance, data quality standards, and rigorous testing practices.
- Adaptability: Comfortable navigating shifting priorities and evolving technology stacks reputed company a dynamic retail environment.
Career Growth & Learning Opportunities
arenaflex invests heavily in the professional development of its teammates. As a Data Engineer on our platform, you will have access to:
- Mentorship programs pairing you with senior data architects and industry veterans.
- Corporate tuition reimbursement for advanced certifications (Azure, Informatica, data science).
- Quarterly technical workshops and hack‑days focused on emerging technologies such as real‑time streaming, AI‑driven analytics, and cloud‑native architectures.
- A clear career ladder that can reputed company to roles such as reputed company Data Engineer, Data Architecture Manager, or Director of Data Platforms.
- Opportunities to contribute to cross‑functional projects that impact global retail strategy, giving you high visibility across the organization.
Work Environment & Culture at arenaflex
Our Dallas hub blends a modern office setting with the flexibility of hybrid work. The culture is built on three pillars:
- People First: We celebrate diversity, encourage open reputed company, and prioritize work‑life balance.
- Innovation Driven: Teams are empowered to experiment, prototype, and iterate quickly, backed by leadership that values data‑centric decision‑making.
- Community Impact: arenaflex is committed to corporate social responsibility, sustainability initiatives, and giving back to the communities we serve.
From casual collaborative spaces to focused “quiet zones,” our office is designed to support both teamwork and deep concentration. Regular team‑building events, tech talks, and wellness programs reputed company our employees engaged and motivated.
Compensation, Perks & Benefits
arenaflex offers a competitive compensation package that includes:
- Hourly reputed company of $22 per hour (commensurate with experience and expertise).
- Performance‑based bonuses and annual salary reviews.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching.
- Generous paid time off, parental leave, and flexible work schedules.
- Employee discount program across reputed company arenaflex retail locations worldwide.
- On‑site gym, wellness resources, and mental‑health support.
How to Apply
Ready to shape the future of data at a world‑leading retailer? Click the link below to submit your application and join the arenaflex family.
Apply Now – Become a Data Pioneer at arenaflex!
Closing Thoughts
At arenaflex, data is more than just numbers—it’s the reputed company that powers every strategic decision, every customer interaction, and every innovation. If you are a proactive, detail‑oriented Data Engineer who thrives in a collaborative, fast‑moving environment, we want to hear from you. Bring your expertise, your curiosity, and your ambition, and help us build the data foundation that will define the next decade of retail excellence.