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Why careerzynith?
At careerzynith, we are redefining the way financial services and technology intersect. As a global leader in payments, travel, and data‑driven experiences, careerzynith invests heavily in cutting‑edge infrastructure, open‑source collaboration, and continuous learning. Our mission is to empower millions of customers worldwide with secure, fast, and intelligent solutions. Joining careerzynith means becoming part of a forward‑thinking community that values innovation, diversity, and the relentless pursuit of excellence.
Position Overview
We are seeking a highly motivated Remote Big Data Engineer to join our dynamic technology group. In this role you will design, develop, and maintain large‑scale data pipelines that power critical business applications. You will work side‑by‑side with senior architects, data scientists, and product owners in an open, collaborative environment where your ideas are heard and your technical choices matter. This is a full‑time, remote‑first position based in Phoenix, USA, offering a competitive rate of $28 per hour.
Key Responsibilities
- End‑to‑end data engineering: Build, test, and deploy robust data pipelines using Hadoop, Spark, Hive, and PySpark to ingest, transform, and store petabytes of structured and unstructured data.
- Code quality & reviews: Write clean, maintainable code following best‑practice standards; actively participate in peer code reviews, automated testing, and continuous integration pipelines.
- Performance optimization: Diagnose bottlenecks, refactor inefficient queries, and implement caching or partitioning strategies to ensure sub‑second latency for high‑volume workloads.
- Automation & CI/CD: Develop automated deployment scripts, containerize services with Docker, and integrate pipelines into Jenkins, GitHub Actions, or similar CI/CD tools.
- Collaboration with data science teams: Translate analytical models into production‑ready data services, enabling real‑time scoring and batch analytics for fraud detection, recommendation engines, and risk management.
- Mentorship & leadership: Guide junior engineers, champion agile practices, and help shape the technical roadmap for the data platform.
- Innovation & open‑source contribution: Contribute to internal and external open‑source projects, share knowledge through tech talks, and stay ahead of emerging trends in big data and cloud technologies.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline.
- Experience: Minimum 3 years of professional software development experience, with at least 2 years focused on big data technologies (Hadoop, Spark, Hive, PySpark).
- Technical expertise: Strong command of Java, Python, or Scala; deep understanding of data warehousing concepts; hands‑on experience with SQL, Hive, and complex join optimization.
- Unix/Linux proficiency: Comfortable scripting in Bash or other shell languages; familiar with Linux system administration for production environments.
- Data pipeline design: Proven ability to architect and implement batch and streaming pipelines that handle high‑throughput, low‑latency requirements.
- Collaboration tools: Experience with Git, GitHub/Bitbucket, and CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.).
- Analytical mindset: Ability to translate business requirements into scalable technical solutions and to communicate complex concepts to non‑technical stakeholders.
Preferred Qualifications & Skills
- Experience with cloud platforms such as GCP or AWS, including services like BigQuery, Dataflow, or Redshift.
- Knowledge of micro‑services architecture and container orchestration (Kubernetes, Docker Swarm).
- Familiarity with streaming technologies such as Apache Kafka, Flink, or Pulsar.
- Exposure to NoSQL databases (HBase, Couchbase, MongoDB) and their integration with big data ecosystems.
- Understanding of financial services data domains (transactions, fraud, risk) and regulatory compliance considerations.
- Strong written and verbal communication skills, with a track record of influencing cross‑functional teams.
- Demonstrated passion for continuous learning, open‑source contribution, and community involvement.
Core Competencies for Success
- Problem‑solving: Ability to dissect complex data challenges, propose elegant solutions, and iterate quickly.
- Ownership: Take end‑to‑end responsibility for the reliability, scalability, and security of data services.
- Teamwork: Thrive in a collaborative, remote‑first environment, respecting diverse perspectives and fostering inclusive dialogue.
- Adaptability: Comfortable navigating fast‑changing priorities, emerging technologies, and evolving business needs.
- Leadership: Inspire peers, mentor junior talent, and champion best practices across the organization.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Big Data Engineer you will have access to:
- Annual learning stipend for certifications, conferences, or online courses (e.g., Cloudera, AWS, GCP).
- Mentorship programs pairing you with senior architects and data science leaders.
- Opportunities to lead high‑visibility projects that directly impact millions of customers.
- Rotational assignments across product lines, allowing you to broaden your expertise in payments, travel, and analytics.
- Regular internal hackathons and innovation sprints where you can prototype new ideas and see them deployed.
Work Environment & Culture at careerzynith
Our remote‑first policy is built on trust, flexibility, and results‑driven performance. You will enjoy:
- Flexible working hours that accommodate different time zones and personal commitments.
- A collaborative virtual office with daily stand‑ups, virtual coffee chats, and cross‑team knowledge sharing.
- Inclusive culture that celebrates diversity, equity, and belonging; employee resource groups for women in tech, LGBTQ+, and multicultural allies.
- Health and wellness benefits, including mental‑health resources, virtual fitness classes, and ergonomic home‑office allowances.
- Competitive compensation: $28 per hour, performance bonuses, and a comprehensive benefits package (medical, dental, vision, 401(k) matching).
- Paid time off, parental leave, and generous holidays to support work‑life balance.
Compensation, Perks & Benefits
careerzynith offers a total rewards package designed to attract and retain top talent:
- Base pay: $28 per hour, paid bi‑weekly.
- Performance incentives: Quarterly bonuses tied to project milestones and individual impact.
- Health coverage: Medical, dental, vision plans with low deductibles and extensive provider networks.
- Retirement savings: 401(k) plan with company match up to 5% of salary.
- Learning & development: $1,500 annual education budget, access to Udemy, Coursera, and internal tech libraries.
- Technology stipend: Home‑office equipment allowance, high‑speed internet reimbursement.
- Wellness programs: Virtual yoga, meditation sessions, and employee assistance programs.
- Community engagement: Volunteer days, charitable matching, and internal sustainability initiatives.
How to Apply
If you are passionate about turning massive data sets into actionable insights, love solving complex engineering problems, and thrive in a remote, high‑performance environment, we want to hear from you. Join careerzynith and become a key contributor to the future of data‑driven financial services.
Apply Now – Start Your Journey with careerzynith!
Closing Statement
At careerzynith, your expertise will shape the next generation of data platforms that power secure, intelligent, and seamless experiences for customers worldwide. We value curiosity, integrity, and the drive to innovate. Take the next step in your career and become part of Teamcareerzynith. Apply today and help us build the data foundation of tomorrow.
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