About careerzynith careerzynith is a global leader in financial services technology, delivering innovative digital experiences to millions of customers worldwide. With a heritage of more than a century in the industry, careerzynith has continuously reinvented itself by embracing cutting‑edge technologies, open‑source collaboration, and a culture that puts people first. Our mission is to empower every member of the #TeamCareerzynith to shape the future of finance through data‑driven insights, secure platforms, and seamless user experiences. We operate at the intersection of finance, technology, and analytics, providing a fertile ground for engineers who thrive on solving complex problems at scale. As a remote‑first organization, careerzynith offers flexible work arrangements, a supportive community, and the resources you need to keep your skills sharp in a rapidly evolving landscape. Role Overview We are seeking a highly motivated Senior Big Data Engineer to join our Remote Engineering team. In this role, you will design, build, and optimize large‑scale data pipelines that power critical analytics, machine‑learning models, and real‑time decision‑making across the organization. You will work closely with product owners, data scientists, and senior architects to translate business requirements into robust, scalable solutions that run on cloud platforms such as GCP or AWS. This position is a full‑time, remote opportunity based in the United States (preferred location Phoenix, AZ) with a competitive hourly rate of $28 per hour . You will be part of a collaborative, agile environment where your ideas are valued, and you have the autonomy to choose the best tools and technologies for each challenge. Key Responsibilities Design and implement end‑to‑end data pipelines using Hadoop, Hive, Spark, and PySpark to ingest, transform, and store petabytes of structured and unstructured data. Collaborate with cross‑functional teams to gather requirements, define data models, and ensure alignment with business objectives. Develop and maintain real‑time streaming solutions leveraging Kafka, Flink, or similar technologies to support low‑latency analytics. Write clean, modular, and well‑documented code in Java, Python, or Scala, adhering to best practices for version control (GitHub/Bitbucket) and CI/CD pipelines. Conduct thorough code reviews , automated testing, and performance profiling to guarantee reliability and scalability. Automate deployment, monitoring, and alerting of data services using container orchestration (Docker, Kubernetes) and cloud‑native tools. Identify and remediate bottlenecks, data quality issues, and security vulnerabilities across the data lifecycle. Mentor junior engineers and lead small agile squads, fostering a culture of continuous improvement and knowledge sharing. Stay abreast of emerging technologies, contribute to open‑source projects, and champion innovative approaches within careerzynith. Essential Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related discipline (or equivalent professional experience). Minimum 3 years of hands‑on experience in big data development, including design and implementation of data pipelines. Proficiency with Hadoop ecosystem tools such as Hive, HDFS, and Spark (including PySpark and Spark‑SQL). Strong command of SQL and data‑warehouse concepts , with experience optimizing complex queries and joins. Solid programming skills in Java and Python/Scala , with a track record of delivering production‑grade code. Experience working in a UNIX/Linux shell scripting environment. Demonstrated ability to design, build, and maintain large‑scale data pipelines for batch and streaming workloads. Excellent problem‑solving abilities, analytical mindset, and strong communication skills. Preferred Qualifications 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 technologies (Docker, Kubernetes). Hands‑on experience with Kafka streams or similar event‑driven frameworks. Familiarity with NoSQL databases (HBase, Couchbase, MongoDB) and their integration into data pipelines. Exposure to machine learning workflows , data science tooling, and model deployment pipelines. Prior leadership experience guiding agile squads, conducting sprint planning, and delivering on roadmap commitments. Professional certifications in big data, cloud, or data engineering (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty). Core Skills & Competencies Technical Excellence Deep understanding of distributed systems, data modeling, and performance tuning. Collaboration Ability to work effectively with product owners, data scientists, and infrastructure teams. Leadership Experience mentoring peers, fostering inclusive team dynamics, and driving technical decisions. Adaptability Comfort navigating fast‑changing priorities and adopting new tools as the ecosystem evolves. Communication Clear articulation of complex technical concepts to both technical and non‑technical audiences. Quality Focus Commitment to code quality, testing, documentation, and operational excellence. Career Growth & Learning Opportunities At careerzynith, your professional development is a priority. You will have access to Annual learning stipend for conferences, certifications, or online courses. Mentorship programs pairing you with senior architects and industry experts. Opportunities to contribute to open‑source projects and internal innovation labs. Clear career pathways from senior engineer to principal architect, technical lead, or product management roles. Cross‑functional rotations that broaden your exposure to finance, risk, compliance, and customer experience domains. Work Environment & Culture at careerzynith careerzynith embraces a remote‑first culture that values flexibility, diversity, and inclusion. Our teams operate in an open, collaborative environment where Ideas are encouraged, and every voice matters. Regular virtual coffee chats, hackathons, and knowledge‑sharing sessions keep the community connected. We prioritize work‑life balance, offering flexible hours and generous paid time off. Our commitment to ethical technology and responsible data use guides every project. Compensation, Perks & Benefits While the base rate for this role is $28 per hour , careerzynith offers a comprehensive benefits package that includes Health, dental, and vision insurance with multiple plan options. 401(k) retirement plan with company matching. Paid parental leave, sick days, and vacation time. Wellness stipend, mental‑health resources, and employee assistance programs. Home office allowance to support your remote workspace. Performance‑based bonuses and recognition programs. How to Apply If you are passionate about building data‑intensive systems, love collaborating with talented peers, and want to make an impact at a forward‑thinking financial technology leader, we want to hear from you. Please submit your resume and a brief cover letter outlining your relevant experience and why you are excited to join careerzynith . Ready to take the next step? Apply Now and become part of the innovative #TeamCareerzynith community. Conclusion careerzynith is more than a workplace—it’s a place where your technical expertise can shape the future of finance for millions of people worldwide. Join us, grow your career, and help us build the data foundations that power tomorrow’s digital experiences. We look forward to welcoming a new member to our dynamic, remote engineering family. Apply for this job