Senior Staff Data Engineer - Data Pipeline Architecture & Analytics Platform Development at careerzynith

Join careerzynith: Senior Staff Data Engineer - Data Pipeline Architecture & Analytics Platform Development

About careerzynith

In today's rapidly evolving digital landscape, careerzynith stands at the forefront of innovative solutions that power businesses and transform how organizations interact with data. Our commitment to excellence and cutting-edge technology has positioned us as a leader in our industry, driving digital transformation across multiple sectors. At careerzynith, we understand that information is the foundation of success, and our dedicated teams work tirelessly to build robust data infrastructure that enables intelligent decision-making, strategic insights, and operational excellence.

careerzynith is more than just a workplace; it's a community of innovators, problem-solvers, and forward-thinkers who are passionate about making a difference through technology. We offer an environment where your ideas can flourish, your expertise can grow, and your career can reach new heights. As we continue to expand our global presence, we're seeking talented individuals like you to help us shape the future of data engineering and analytics.

The Opportunity: Staff Data Engineer at careerzynith

careerzynith is seeking a highly skilled Staff Data Engineer to join our dynamic Information Architecture team. This is a unique opportunity to make a significant impact by scaling our data infrastructure, automation, and tools to meet growing business needs. As a Staff Data Engineer, you'll serve as a technical force to be reckoned with, driving innovation and excellence in everything we do.

This hybrid/remote position requires you to be located near one of our engineering hubs in San Francisco, Sunnyvale, or Seattle, offering the flexibility to work from our state-of-the-art offices or remotely while maintaining strong collaboration with your team.

Key Responsibilities

• Collaborate with cross-functional teams and stakeholders to deeply understand data requirements and business objectives
• Partner with engineering, product teams, and external vendors to gather, process, and integrate required data from diverse sources
• Design, develop, and implement large-scale, high-volume, high-performance data models and pipelines for our Data Lake and Data Warehouse environments
• Build reusable frameworks and components that enhance the reliability, scalability, and maintainability of our ETL processes
• Manage and optimize a portfolio of data products that deliver high-quality, reliable, and timely information for decision-making
• Mentor and coach junior engineers and team members to improve their designs, solutions, and technical approaches
• Stay current with emerging technologies, best practices, and industry trends in data engineering and analytics
• Drive innovation in data architecture, implementing cutting-edge solutions that give careerzynith a competitive edge

Essential Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
• 3+ years of professional experience in data engineering, business intelligence, or a related technical role
• Proficiency in programming languages such as Python or Java, with the ability to write clean, efficient, and maintainable code
• 3+ years of experience with ETL implementation and workflow management tools like Airflow, Flink, Oozie, and Azkaban using AWS/GCP
• Expert knowledge of database fundamentals, SQL, and distributed computing principles
• 3+ years of experience with distributed data ecosystems (Spark, Hive, Druid, Presto) and streaming technologies like Kafka/Flink
• Hands-on experience with cloud data warehouses and databases including Snowflake, Redshift, PostgreSQL, and other DBMS platforms
• Understanding of reporting and visualization tools such as Tableau, Superset, and Looker
• Excellent communication skills with proven ability to work effectively with both technical and non-technical stakeholders
• Ability to thrive in a fast-paced environment, self-motivated, and highly organized with strong time management skills
• Strong analytical thinking with the ability to analyze, interpret, and derive insights from complex data and market information

Preferred Qualifications

• Master's degree in Computer Science, Engineering, Data Science, or related field
• Experience working in high-growth technology companies with complex data challenges
• Familiarity with machine learning integration in data pipelines
• Experience with data governance and data quality frameworks
• Background in industries requiring high-volume data processing such as e-commerce, logistics, or SaaS
• Contributions to open-source data engineering projects
• Experience with A/B testing frameworks and statistical analysis

Why Join careerzynith?

Innovation at Scale

At careerzynith, we're not just keeping up with industry trends—we're setting them. Our data engineering teams work on cutting-edge projects that process terabytes of data daily, powering critical business decisions across the organization. You'll have the opportunity to work on challenging problems that push the boundaries of what's possible in data engineering and analytics.

Career Growth & Development

We believe in nurturing talent and providing clear pathways for career advancement. As a Staff Data Engineer at careerzynith, you'll have access to:

• Leadership development programs to enhance your management and strategic thinking skills
• Technical certifications and specialized training in emerging technologies
• Mentorship opportunities with senior leaders and industry experts
• Conference attendance and speaking opportunities at industry events
• Internal mobility programs to explore different roles and departments

Work Environment & Culture

careerzynith fosters a culture of innovation, collaboration, and continuous learning. Our engineering teams are diverse, inclusive, and supportive, with regular hackathons, technical workshops, and knowledge-sharing sessions. We value work-life balance and offer flexible work arrangements to accommodate different needs and preferences.

Our offices are designed to inspire creativity and productivity, with state-of-the-art facilities, collaborative workspaces, and wellness areas. Whether you prefer working in a bustling office environment or the comfort of your home office, we provide the tools and support you need to excel.

Compensation & Benefits

careerzynith offers a comprehensive compensation package that recognizes your skills and contributions. The hourly rate for this position is $24, with opportunities for performance-based increases and equity awards.

Our benefits package includes:

• Health & Wellness: Premium healthcare coverage, dental, vision, mental health resources, and wellness stipends
• Financial Security: 401(k) plan with employer match, stock options, and financial planning resources
• Work-Life Balance: Generous paid time off, flexible scheduling, and parental leave
• Professional Development: Learning stipends, conference attendance, and tuition assistance
• Perks & Amenities: Remote work equipment allowances, home office setup, and employee discounts

Diversity, Equity & Inclusion

careerzynith is committed to building and nurturing a diverse, equitable, and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives drive innovation and excellence, and we actively recruit, develop, and retain talent from all backgrounds.

We're proud to be an equal opportunity employer and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. We encourage applications from individuals who identify as women, LGBTQIA+, Black/African American, Hispanic/Latinx, Native American, Asian, Pacific Islander, people with disabilities, and veterans.

If you need any accommodations during the recruitment process, please don't hesitate to let your recruiting contact know, and we'll be happy to provide the necessary support.

Join careerzynith Today

As a Staff Data Engineer at careerzynith, you'll have the opportunity to make a meaningful impact on our data infrastructure while growing your career in a dynamic and supportive environment. If you're passionate about data, eager to tackle complex challenges, and ready to join a team that values innovation and excellence, we encourage you to apply.

careerzynith is more than just a workplace—it's a community of problem-solvers, innovators, and forward-thinkers who are passionate about leveraging data to transform businesses and improve lives. Join us in shaping the future of data engineering and analytics.

We look forward to reviewing your application and potentially welcoming you to the careerzynith team!