About careerzynith – Pioneering the Future of Financial Technology
careerzynith is a global leader in innovative financial services, delivering cutting‑edge digital experiences to millions of customers worldwide. Our mission is to empower people to manage their money with confidence, using technology that is secure, reliable, and constantly evolving. As a member of the careerzynith family, you will join a vibrant community of engineers, data scientists, and product visionaries who are reshaping the way financial data is captured, processed, and leveraged for smarter decision‑making. Whether you are working from a home office in Phoenix, a co‑working space, or any remote location, you will be part of a collaborative, high‑performance culture that values curiosity, continuous learning, and the impact of your work on real‑world users.
Position Summary – Remote Big Data Engineer (Data Entry & Pipeline Development)
careerzynith is seeking a dynamic, high‑performing engineer to join our Big Data team. In this role you will design, develop, and maintain data‑entry pipelines that ingest massive volumes of transactional and analytical data, transform it into actionable insights, and support downstream services across the organization. You will work closely with senior architects, product owners, and cross‑functional squads to choose the right technologies, enforce best practices, and drive continuous improvement in code quality, performance, and reliability.
Key Responsibilities
- End‑to‑end data pipeline development: Build robust, scalable ingestion pipelines using Hadoop, Hive, Spark, and PySpark to handle terabytes of daily data.
- Code quality & review: Write clean, maintainable code; conduct thorough code reviews; and enforce coding standards, documentation, and automated testing.
- Automation & CI/CD: Implement automated testing, deployment, and monitoring using GitHub/Bitbucket, Jenkins, and container orchestration tools.
- Performance tuning: Optimize SQL/Hive queries, Spark jobs, and data models to reduce latency and improve throughput.
- Collaboration: Partner with product managers, data analysts, and other engineers to translate business requirements into technical specifications.
- Mentorship: Lead a small team of junior engineers, providing guidance, technical direction, and career development support.
- Innovation: Evaluate emerging technologies (e.g., cloud platforms, streaming frameworks) and propose enhancements that keep careerzynith at the forefront of the industry.
- Incident response: Troubleshoot production issues, identify root causes, and implement preventive measures to ensure high availability.
- Documentation: Maintain comprehensive design documents, data dictionaries, and operational runbooks for all pipeline components.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field (or equivalent practical experience).
- Minimum 3 years of professional software development experience, with at least 2 years leading or mentoring development teams.
- Strong hands‑on experience with Hadoop ecosystem tools (Hive, Spark, HDFS) and proficiency in Python, Scala, or Java.
- Deep understanding of data‑warehousing concepts, dimensional modeling, and large‑scale ETL processes.
- Proficiency in SQL, including complex joins, window functions, and performance optimization for massive datasets.
- Experience working in UNIX/Linux environments and scripting with Bash or similar shells.
- Demonstrated ability to design, build, and operate data pipelines that process high‑volume, high‑velocity data streams.
- Excellent problem‑solving skills, with a track record of diagnosing and fixing production‑critical bugs.
- Strong written and verbal communication skills; ability to articulate technical concepts to non‑technical stakeholders.
Preferred Qualifications & Nice‑to‑Have Skills
- Experience with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS), especially services like BigQuery, Redshift, or Dataflow.
- Knowledge of micro‑services architecture and containerization (Docker, Kubernetes).
- Familiarity with streaming technologies such as Apache Kafka, Flink, or Pulsar.
- Exposure to NoSQL databases (HBase, Couchbase, MongoDB) and their integration with batch pipelines.
- Hands‑on experience with CI/CD pipelines, automated testing frameworks, and infrastructure‑as‑code tools (Terraform, Ansible).
- Background in financial services or exposure to regulatory data environments.
- Certification in big data technologies or cloud platforms (e.g., Cloudera Certified Professional, AWS Certified Data Analytics).
Core Skills & Competencies
- Technical Acumen: Ability to quickly learn new languages, frameworks, and tools; strong foundation in algorithms and data structures.
- Analytical Mindset: Comfortable working with large, complex datasets; capable of translating business questions into data‑driven solutions.
- Collaboration: Team player who thrives in an agile environment, respects diverse viewpoints, and contributes to a shared vision.
- Leadership: Proven capability to inspire, coach, and develop junior engineers while driving project delivery.
- Adaptability: Comfortable navigating ambiguity, shifting priorities, and fast‑paced product cycles.
- Attention to Detail: Commitment to writing production‑grade code, thorough testing, and meticulous documentation.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is shaped by your ambition and the support you receive. As a Remote Big Data Engineer you will have access to:
- Mentorship from senior architects who have built industry‑leading data platforms.
- Annual learning stipend for conferences, certifications, or online courses (e.g., Coursera, Udemy, Pluralsight).
- Opportunities to rotate into adjacent teams such as Machine Learning, Data Science, or Cloud Architecture.
- Leadership pathways that can lead to roles like Data Platform Lead, Engineering Manager, or Principal Engineer.
- Participation in internal hackathons and innovation labs where you can prototype new ideas.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $28 per hour, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with generous employer contributions.
- Flexible paid time off (PTO) and a paid holiday calendar.
- Retirement savings plan with company match.
- Remote‑work allowance for home office setup, high‑speed internet, and ergonomic equipment.
- Wellness programs, mental‑health resources, and employee assistance services.
- Employee stock purchase plan (ESPP) and performance‑based bonuses.
- Professional development budget and tuition reimbursement.
Work Environment & Culture at careerzynith
careerzynith prides itself on an inclusive, collaborative, and forward‑thinking culture. Our remote teams are connected through regular video stand‑ups, virtual coffee chats, and quarterly in‑person meet‑ups (when possible). We champion:
- Diversity & Inclusion: A workplace where every voice is heard and diverse perspectives drive innovation.
- Transparency: Open communication channels with leadership, clear roadmaps, and shared metrics.
- Innovation Mindset: Encouragement to experiment, fail fast, and iterate on solutions that matter.
- Work‑Life Balance: Flexible schedules, autonomy over project choices, and respect for personal time.
- Community Impact: Opportunities to contribute to open‑source projects and community initiatives that benefit the broader tech ecosystem.
How to Apply
If you are passionate about building large‑scale data pipelines, love solving complex technical challenges, and want to make a tangible impact at a forward‑looking financial technology firm, we want to hear from you. Please submit your resume, a brief cover letter outlining your relevant experience, and any portfolio or GitHub links that showcase your work.
Apply Now – Join careerzynith and Shape the Future of Data‑Driven Finance!
``` Apply for this job