```html
About nexawork – A Global Leader in Financial Services and Innovation
nexawork is a world‑renowned financial services powerhouse that empowers millions of consumers and businesses every day. With a legacy of more than a century, nexawork has continuously reinvented the way people manage money, travel, and digital experiences. Our commitment to technology‑driven solutions, inclusive culture, and sustainable growth makes nexawork a place where ambitious professionals can shape the future of data‑centric products while enjoying a supportive, forward‑thinking environment.
Why This Role Matters
As a Senior Data Engineer at nexawork, you will be at the heart of our data transformation journey. Our data platforms power critical decision‑making, fraud detection, customer personalization, and real‑time analytics across a global network. By designing, building, and optimizing robust data pipelines, you will enable the seamless flow of information from raw sources to actionable insights, directly influencing the experiences of millions of customers worldwide.
Position Overview
This is a remote‑first position based in Phoenix, USA, with the flexibility to work from home up to three days per week. The role offers a competitive hourly rate of $20–$30 per hour, reflecting the expertise required to lead complex data initiatives. You will collaborate with cross‑functional teams—including data scientists, product managers, and business analysts—to translate business requirements into scalable, high‑performance data solutions.
Key Responsibilities
- Data Architecture & Modeling: Design logical and physical data models that align with business objectives, ensuring consistency, scalability, and performance across relational (RDBMS) and massively parallel processing (MPP) environments.
- Pipeline Development: Build, test, and maintain end‑to‑end ETL/ELT pipelines using industry‑standard tools such as Apache Hadoop, Hive, Spark, Kafka, and Sqoop, guaranteeing data quality and reliability.
- Database Management: Oversee the configuration, tuning, and optimization of OLTP and OLAP systems, including PostgreSQL, MySQL, IBM DB2, Netezza, MemSQL, and Oracle PL/SQL.
- Performance Tuning: Conduct SQL performance analysis, index strategy planning, and query optimization to achieve sub‑second response times for mission‑critical workloads.
- Data Governance: Implement data lineage, profiling, and security controls, collaborating with governance teams to meet regulatory compliance and internal standards.
- Collaboration & Documentation: Partner with data scientists and product owners to capture data requirements, produce clear technical documentation, and maintain up‑to‑date data dictionaries.
- Mentorship: Guide junior engineers and interns, fostering a culture of continuous learning, code review best practices, and knowledge sharing.
- Innovation & Continuous Improvement: Evaluate emerging technologies (e.g., cloud data warehouses, streaming platforms) and propose enhancements that drive efficiency and cost savings.
Essential Qualifications
- Graduate‑level education (Master’s or Ph.D.) in Computer Science, Information Systems, Engineering, or a related STEM discipline.
- Minimum of 2 years of hands‑on experience designing and tuning relational databases (RDBMS) in production environments.
- At least 2 years of experience supporting both OLTP and OLAP workloads, with a proven track record of performance optimization.
- Demonstrated expertise in building large‑scale data pipelines using Hadoop, Spark, Hive, and related ecosystem tools.
- Proficiency in programming languages such as Python, SQL, and PL/SQL, with the ability to write clean, maintainable code.
- Solid understanding of data warehousing concepts, MPP architectures, and cloud‑based data platforms.
- Strong analytical mindset with the ability to translate complex business problems into technical solutions.
- Excellent communication skills—both written and verbal—to convey technical concepts to non‑technical stakeholders.
Preferred Qualifications & Additional Expertise
- Experience with Apache Kafka, MemSQL, Netezza, or similar high‑throughput streaming and analytical databases.
- Hands‑on work with data quality frameworks, data profiling tools, and ETL orchestration platforms (e.g., Airflow, Luigi).
- Familiarity with DevOps practices, containerization (Docker, Kubernetes), and CI/CD pipelines for data engineering workloads.
- Knowledge of data security best practices, GDPR, CCPA, and other regulatory requirements.
- Previous exposure to financial services or fintech environments, understanding of transaction data flows and fraud detection pipelines.
Core Skills & Competencies
- Technical Acumen: Mastery of SQL, Python, and data modeling techniques; ability to troubleshoot complex data issues.
- Problem Solving: Proactive approach to identifying bottlenecks and delivering innovative, data‑driven solutions.
- Collaboration: Ability to work effectively within multidisciplinary teams, fostering trust and shared ownership.
- Adaptability: Comfort with fast‑paced environments, shifting priorities, and evolving technology stacks.
- Leadership: Demonstrated mentorship capabilities and a commitment to elevating the skill set of peers.
Career Growth & Learning Opportunities
nexawork invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:
- Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
- Internal technical workshops, hackathons, and speaker series featuring industry thought leaders.
- Mentorship programs that pair you with senior architects and product leaders.
- Opportunities to transition into data architecture, analytics leadership, or product management roles as you expand your expertise.
Work Environment & Culture at nexawork
nexawork prides itself on an inclusive, diverse, and employee‑first culture. Our core values—integrity, customer obsession, teamwork, and innovation—guide every decision. You will experience:
- A flexible remote‑work policy that supports work‑life balance while encouraging collaboration through regular virtual team events.
- Employee resource groups (ERGs) that celebrate diversity, mental health, and community involvement.
- Transparent communication channels, including town halls, Q&A sessions with senior leadership, and open‑door policies.
- A supportive environment where every voice is heard, and contributions are recognized and rewarded.
Compensation, Perks & Benefits
nexawork offers a comprehensive package designed to support your financial, physical, and mental well‑being:
- Competitive hourly wage: $20–$30 per hour, commensurate with experience and expertise.
- Performance bonuses and incentive programs tied to project milestones and business impact.
- Retirement savings plan with a 6% company match to help you build a secure future.
- Comprehensive health coverage—including medical, dental, vision, life, and disability insurance.
- Generous paid parental leave (20+ weeks) for all parents, covering birth, adoption, or surrogacy.
- Access to on‑site wellness centers (where available) and virtual wellness resources.
- Financial wellness counseling, tuition reimbursement, and continuous learning stipends.
- Employee assistance programs (EAP) offering confidential support for personal and professional challenges.
How to Apply
If you are ready to drive data excellence at a global leader and thrive in a collaborative, innovative environment, we want to hear from you. Submit your resume and a brief cover letter highlighting your most relevant data engineering achievements.
Join nexawork and Shape the Future of Data
At nexawork, your expertise will be recognized, your ideas will be valued, and your impact will be felt across millions of customers worldwide. Together, we’ll continue to set the standard for excellence in financial services, delivering unparalleled experiences while fostering a workplace where every employee can grow, innovate, and succeed.
``` Apply for this job