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About careerzynith – Pioneering the Future of Financial Technology
At careerzynith, we are redefining the way millions of customers interact with their finances every day. As a global leader in digital payments and financial services, careerzynith blends cutting‑edge technology with a deep commitment to security, reliability, and customer experience. Our mission is to empower people and businesses to thrive in an increasingly data‑driven world. Whether you are a seasoned data professional or an emerging talent, joining careerzynith means becoming part of a vibrant community that values innovation, collaboration, and continuous learning.
Position Overview – Engineer – Big Data (Remote)
We are seeking a highly motivated Senior Big Data Engineer to join our remote technology team. In this role, you will design, develop, and maintain large‑scale data pipelines that power critical analytics and machine‑learning solutions across the organization. You will work closely with product owners, data scientists, and senior architects to translate business requirements into robust, scalable, and performant data architectures. This is a full‑time, remote opportunity based in Phoenix, USA, with a competitive hourly rate of $28.
Key Responsibilities
- Architect, build, and optimize end‑to‑end data pipelines using Hadoop, Spark, Hive, and PySpark to ingest, transform, and store petabytes of structured and unstructured data.
- Collaborate with cross‑functional teams to define data models, schema designs, and data‑quality standards that align with business objectives.
- Lead code reviews, enforce best practices, and mentor junior engineers on clean‑code principles, test‑driven development, and continuous integration.
- Develop automated testing frameworks and CI/CD pipelines (GitHub/Bitbucket, Jenkins, GitLab CI) to ensure reliable deployment of data solutions.
- Diagnose and resolve performance bottlenecks, data inconsistencies, and production incidents with a focus on root‑cause analysis and preventive measures.
- Drive automation of repetitive tasks in development, testing, and production environments using shell scripting, Python, and Scala.
- Scale applications proactively based on forecasted demand, ensuring high availability and low latency for downstream analytics.
- Participate in agile ceremonies, contribute to sprint planning, and provide accurate estimates for data‑engineering stories.
- Stay abreast of emerging technologies (e.g., cloud data platforms, streaming frameworks) and propose strategic enhancements to the data ecosystem.
- Document architectural decisions, data lineage, and operational procedures to facilitate knowledge sharing across the organization.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
- Experience: Minimum 3 years of hands‑on software development experience, with at least 3 years leading engineering teams or scrum groups.
- Technical Expertise: Proven experience with Hadoop ecosystem tools (Hive, Spark, HDFS), SQL/NoSQL databases (Hive, PySpark DataFrames, HBase, MongoDB), and strong data‑warehousing concepts.
- Programming Skills: Advanced proficiency in Java, Python, or Scala; solid command of UNIX shell scripting.
- Big Data Processing: Demonstrated ability to design and implement large‑scale data pipelines, including batch and streaming workloads.
- Analytical Acumen: Experience in financial services data environments is highly desirable.
- Collaboration: Strong communication and interpersonal skills, with a track record of influencing technical direction across distributed teams.
Preferred Qualifications & Additional Skills
- Hands‑on experience with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS), including services like BigQuery, Dataflow, or Redshift.
- Knowledge of microservices architecture and containerization (Docker, Kubernetes) for building scalable data services.
- Experience building real‑time streaming solutions using Apache Kafka, Kinesis, or similar technologies.
- Familiarity with CI/CD tools and pipelines, automated testing frameworks, and version‑control best practices.
- Exposure to machine‑learning pipelines and data‑science workflows, enabling seamless hand‑off between engineering and analytics teams.
- Exceptional problem‑solving mindset, with the ability to think beyond the obvious and drive continuous improvement.
- Demonstrated leadership in mentoring junior engineers, fostering a culture of learning, and championing best practices.
Core Skills & Competencies
- Data Modeling: Ability to design logical and physical data models that support high‑performance analytics.
- Performance Tuning: Expertise in query optimization, resource allocation, and cluster management to maximize throughput.
- Automation: Proficiency in scripting and automation to reduce manual effort and increase reliability.
- Collaboration: Strong teamwork orientation, comfortable working in a remote, globally distributed environment.
- Adaptability: Comfortable navigating fast‑paced, evolving technology landscapes while maintaining focus on delivery.
- Communication: Ability to translate complex technical concepts into clear, actionable insights for non‑technical stakeholders.
Career Growth & Learning Opportunities
At careerzynith, your professional development is a priority. You will have access to:
- Mentorship programs with senior architects and data science leaders.
- Sponsored certifications in cloud platforms, big‑data technologies, and agile methodologies.
- Internal tech talks, hackathons, and innovation labs that encourage experimentation.
- Opportunities to lead high‑visibility projects that directly impact millions of customers worldwide.
- A clear career ladder from senior engineer to principal architect, data‑platform lead, or product‑focused managerial roles.
Work Environment & Culture at careerzynith
Our remote work model is built on trust, flexibility, and results‑orientation. You will join a collaborative, inclusive community where:
- Ideas are welcomed from every level, and diverse perspectives drive better solutions.
- Regular virtual coffee chats, team‑building activities, and knowledge‑sharing sessions keep the team connected.
- We champion work‑life balance, offering flexible hours, generous paid time off, and wellness resources.
- Our open‑source contributions are celebrated, and you are encouraged to give back to the broader tech ecosystem.
- Performance is measured by impact, not by time spent at a desk, allowing you to work when you are most productive.
Compensation, Perks & Benefits
While the hourly rate for this role is $28, careerzynith offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance with employer contributions.
- Retirement savings plan with company match.
- Annual learning stipend for courses, conferences, and certifications.
- Paid parental leave, sick days, and vacation time.
- Remote‑work allowance for home office setup, high‑speed internet, and ergonomic equipment.
- Employee assistance program and mental‑health resources.
- Recognition programs that reward innovation, teamwork, and exceptional performance.
How to Apply
If you are passionate about building data‑intensive systems, thrive in a fast‑moving environment, and want to make a tangible impact at a leading financial‑technology firm, we want to hear from you. Submit your resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith.
Take the next step in your career and become part of a team that is shaping the future of digital finance. Apply today and start your journey with careerzynith!
Apply Now
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