Senior Big Data Engineer – Remote Data Platform Development, Cloud Integration & Machine Learning at careerzynith

About careerzynith – Pioneering the Future of Digital Finance

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, speed, and security. As a technology‑first organization, we invest heavily in emerging data platforms, AI‑driven insights, and cloud‑native architectures. Joining careerzynith means becoming part of a vibrant community that values curiosity, collaboration, and continuous learning. Whether you are a seasoned data engineer or an ambitious newcomer, you will find a supportive environment where your ideas can shape the next generation of financial products.

Position Overview

We are seeking a highly skilled 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 real‑time analytics, machine‑learning models, and business intelligence across the organization. You will work closely with product owners, data scientists, and senior architects to translate complex business requirements into robust, scalable solutions on cloud platforms such as GCP or AWS. This is a full‑time, remote‑first opportunity based in Phoenix, USA, with a competitive hourly rate of $28.

Key Responsibilities

• Architect, develop, and maintain 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.
• Implement automated testing frameworks, code reviews, and CI/CD pipelines (GitHub/Bitbucket, Jenkins, GitLab CI) to ensure high‑quality, production‑ready code.
• Optimize SQL queries, Spark jobs, and Hive scripts for performance, cost efficiency, and scalability in both batch and streaming contexts.
• Lead the migration of legacy data workloads to cloud‑native services (e.g., Google BigQuery, AWS Redshift, Dataproc) while maintaining data integrity and security.
• Mentor junior engineers, conduct technical interviews, and foster a culture of knowledge sharing through brown‑bag sessions and internal documentation.
• Drive continuous improvement initiatives by identifying bottlenecks, proposing architectural enhancements, and adopting emerging technologies such as Kafka Streams, Flink, and serverless data processing.
• Participate in agile ceremonies—sprint planning, daily stand‑ups, retrospectives—to deliver incremental value and maintain transparent communication with stakeholders.
• Ensure compliance with data‑governance policies, privacy regulations (e.g., GDPR, CCPA), and internal security standards throughout the data lifecycle.
• Contribute to open‑source projects and internal tooling libraries, reinforcing careerzynith’s commitment to community‑driven innovation.

Required Qualifications

• Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Experience: Minimum 3 years of hands‑on software development experience, with at least 3 years focused on big‑data technologies (Hadoop, Hive, Spark, PySpark).
• Proven track record of designing and implementing data pipelines that handle high‑volume, high‑velocity data streams.
• Strong command of SQL and experience with complex query optimization, including joins, window functions, and data partitioning.
• Solid programming skills in Java and/or Python/Scala; ability to write clean, maintainable code following industry best practices.
• Experience with Unix/Linux shell scripting for automation and orchestration tasks.
• Demonstrated ability to work in an Agile/Scrum environment, collaborating effectively with product owners, data scientists, and operations teams.
• Excellent problem‑solving mindset, with a focus on root‑cause analysis and proactive remediation of production issues.
• Strong written and verbal communication skills, capable of articulating technical concepts to both technical and non‑technical audiences.

Preferred Qualifications & Nice‑to‑Have Skills

• Advanced degree (M.S. or Ph.D.) in Data Engineering, Computer Science, or a related discipline.
• Hands‑on experience with cloud platforms (Google Cloud Platform, AWS) and services such as BigQuery, Dataflow, Kinesis, or EMR.
• Familiarity with micro‑services architecture and containerization technologies (Docker, Kubernetes).
• Experience building real‑time streaming solutions using Apache Kafka, Kafka Streams, or Apache Flink.
• Knowledge of NoSQL databases (HBase, Cassandra, MongoDB) and their integration within big‑data ecosystems.
• Exposure to machine‑learning pipelines and frameworks (TensorFlow, PyTorch, MLflow) for operationalizing models.
• Certification in cloud technologies (e.g., Google Cloud Professional Data Engineer, AWS Certified Big Data – Specialty).
• Active participation in open‑source communities or contributions to relevant projects.

Core Skills & Competencies

• Technical Acumen: Deep understanding of distributed computing principles, data partitioning strategies, and fault‑tolerant system design.
• Analytical Thinking: Ability to dissect complex data problems, design efficient algorithms, and translate business logic into scalable code.
• Leadership: Experience guiding small teams of engineers, fostering collaboration, and driving consensus on technical direction.
• Adaptability: Comfort working in a fast‑changing environment, quickly learning new tools, and iterating on solutions.
• Communication: Strong documentation habits, clear code comments, and the ability to present findings to senior leadership.
• Quality Focus: Commitment to test‑driven development, code reviews, and continuous integration to maintain high reliability.

Career Growth & Learning Opportunities

At careerzynith, your professional development is a priority. You will have access to:

• Annual learning stipend for conferences, certifications, or advanced coursework.
• Mentorship programs pairing you with senior architects and data science leaders.
• Internal hackathons and innovation sprints that encourage experimentation with emerging technologies.
• Clear career pathways—from Senior Engineer to Lead Architect, and eventually to Director of Data Engineering.
• Opportunities to contribute to open‑source projects, enhancing both your personal brand and careerzynith’s reputation in the community.

Work Environment & Culture at careerzynith

careerzynith embraces a remote‑first culture that values flexibility, inclusivity, and work‑life balance. Our teams operate in an open, collaborative atmosphere where ideas are welcomed regardless of seniority. Key cultural pillars include:

• Innovation: We allocate dedicated time each quarter for engineers to explore new concepts and prototype solutions.
• Transparency: Regular town‑hall meetings, open Q&A sessions with leadership, and shared roadmaps keep everyone aligned.
• Diversity & Inclusion: A commitment to building diverse teams, with employee resource groups and inclusive hiring practices.
• Well‑Being: Comprehensive mental‑health resources, flexible scheduling, and a supportive environment for remote work.
• Community Impact: Volunteer days and charitable initiatives that allow employees to give back to the communities they serve.

Compensation, Perks & Benefits

While the base rate for this role is $28 per hour, careerzynith offers a competitive total rewards package that includes:

• Performance‑based bonuses and equity grants.
• Health, dental, and vision insurance with generous employer contributions.
• Retirement savings plan with company matching.
• Paid time off, parental leave, and sick days.
• Home office stipend for equipment, ergonomic furniture, and high‑speed internet.
• Access to wellness platforms, virtual fitness classes, and mental‑health counseling.
• Employee assistance program and financial planning resources.

How to Apply

If you are ready to drive data‑centric innovation at a forward‑thinking financial technology leader, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter highlighting your most relevant big‑data projects.

Apply Now – Join careerzynith’s Data Engineering Team!

Closing Statement

careerzynith is building the future of finance, and we need visionary engineers like you to turn data into actionable intelligence. This is more than a job—it’s a chance to shape the digital experiences of millions, grow your expertise, and advance your career in a supportive, innovative environment. Take the next step in your professional journey and become part of the careerzynith family today.