About careerzynith: Where Innovation Meets Data Excellence
careerzynith isn't just another organization in the tech landscape – we're pioneers at the intersection of data science and athletic innovation. Inspired by a culture that celebrates potential, boundaries, and pushing what's possible, we've built an environment where data professionals can thrive. At careerzynith, we believe that the most transformative insights emerge from diverse perspectives, bold thinking, and a relentless pursuit of excellence. Our commitment to embracing diversity and rewarding imagination has made us a destination for the brightest minds in data engineering and analytics.
When you join careerzynith, you're not just taking a job – you're embarking on a journey of continuous learning and professional growth. We're seeking achievers, leaders, and visionaries who can bring both skill and passion to our ever-evolving technological landscape. Our teams operate at the forefront of big data processing, developing solutions that transform how the world understands and interacts with information.
The Role: Senior Data Engineer - Big Data Processing & Analytics
We're seeking an experienced Senior Data Engineer to join our dynamic data infrastructure team. This is a remote opportunity with competitive compensation, allowing you to contribute to cutting-edge data solutions while enjoying the flexibility of remote work. In this role, you'll design and implement robust data products and features that power our analytics platforms, working closely with product owners, data analysts, and business partners to deliver exceptional value.
Key Responsibilities
- Architect and Develop Data Solutions: Design and implement data products and features in close collaboration with product owners, data analysts, and business partners.
- Big Data Infrastructure: Contribute to the overall architecture, frameworks, and standards for processing and evaluating big data at scale.
- Technology Evaluation: Evaluate and integrate new technologies, tools, and frameworks aimed at processing large volumes of data efficiently.
- Product Backlog Translation: Translate product backlog items into logical units of engineering work, ensuring alignment with business objectives.
- Implement Data Pipelines: Build and maintain distributed data processing pipelines using tools and languages prevalent in the big data ecosystem.
- Create Reusable Components: Develop tools, user-defined functions, libraries, and frameworks to better enable data flow patterns and improve efficiency.
- Collaborative Development: Work closely with engineering leads and cross-functional teams to ensure quality solutions are implemented and technical best practices are defined and followed.
- Quality Assurance: Create and participate in automated unit tests and contribute to integration testing efforts to ensure data integrity and reliability.
- CI/CD Implementation: Use and extend continuous integration and deployment frameworks to streamline the development and deployment of data solutions.
- Troubleshooting & Analysis: Troubleshoot data issues, perform root cause analysis, and work in teams to resolve operational and performance challenges.
- Data Feed Creation: Create and maintain data feeds that support various analytical and reporting needs across the organization.
Qualifications & Requirements
Essential Qualifications
- Educational Background: Master's degree in Computer Science, Information Technology, or Computer Information Systems.
- Professional Experience: 2+ years of experience in the offered position or in a related computer-related position with demonstrated data engineering experience.
- Technical Expertise: Strong proficiency with big data technologies including Spark, Hive, Hadoop, and distributed computing frameworks.
- Programming Skills: Advanced knowledge of Python and other programming languages commonly used in data engineering.
- Cloud Platform Experience: Hands-on experience with AWS cloud services and big data solutions on cloud platforms.
- Workflow Orchestration: Experience with workflow orchestration tools like Apache Airflow.
- Big Data Platforms: Familiarity with big data platforms including EMR and Data Bricks.
- Computer Science Fundamentals: Strong understanding of data structures and algorithms as they apply to large-scale data processing.
- Testing Methodologies: Experience with automated unit testing and participating in integration tests for data systems.
- CI/CD Practices: Knowledge of continuous integration and deployment practices for data pipelines.
Preferred Qualifications
- Additional Experience: More than 2 years of experience in data engineering or related roles.
- Advanced Degrees: PhD or additional specialized certifications in data science, machine learning, or related fields.
- Industry Experience: Experience in retail, e-commerce, sports, or technology industries.
- Leadership Experience: Demonstrated experience leading data engineering projects or mentoring junior team members.
- Additional Technologies: Familiarity with emerging data technologies and best practices.
Skills & Competencies for Success
- Technical Adaptability: Ability to quickly learn and apply new technologies in the rapidly evolving data engineering landscape.
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to approach complex data challenges systematically.
- Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Collaboration: Proven ability to work effectively in cross-functional teams and collaborate with diverse stakeholders.
- Attention to Detail: Meticulous attention to detail, ensuring data quality and accuracy in all deliverables.
- Time Management: Strong organizational and time management skills, with the ability to manage multiple priorities effectively.
- Business Acumen: Understanding of how data solutions support business objectives and drive value.
- Continuous Learning: Commitment to continuous professional development and staying current with industry trends.
Compensation, Benefits & Perks
careerzynith is committed to providing a comprehensive compensation package that recognizes your skills and contributions. This remote opportunity offers competitive pay with a range commensurate with experience and qualifications. In addition to a base salary, eligible employees may receive performance-based bonuses and other incentives.
Health & Wellness Benefits
- Comprehensive Health Insurance: Health, dental, and vision insurance options to support your well-being.
- Wellness Programs: Access to exercise and wellness programs designed to promote a healthy lifestyle and work-life balance.
- Employee Assistance Program (EAP): Confidential counseling services and resources for employees and their families.
- Paid Parental Leave: Supporting new parents with generous paid leave options to welcome new family members.
Financial Benefits
- 401(K) Plans: Retirement savings plans with active contributions to help you secure your financial future.
- Retirement Plans: Some employees may qualify for additional traditional retirement plans.
- Tuition Assistance: Tuition assistance for eligible workers pursuing further education and professional development.
- Employee Discounts: Special discounts on careerzynith products and apparel for you and your family.
Work-Life Balance & Flexibility
- Flexible Work Arrangements: Flexible work options and remote hours to accommodate your personal and professional needs.
- Paid Leave: Generous paid time off including holidays, personal days, and company-observed holidays.
- Sick Leave: Paid sick leave to protect your health and well-being when needed.
- On-Site Amenities: Select careerzynith locations offer on-site amenities such as gyms, cafes, and entertainment venues.
Professional Development & Growth
- Training And Development: Opportunities for skill development and career advancement through structured programs.
- Mentorship Programs: Access to mentorship from senior leaders and technical experts in your field.
- Conference Attendance: Opportunities to attend industry conferences and professional development events.
- Internal Mobility: Clear pathways for career advancement and opportunities to explore different roles within careerzynith.
Community & Culture
- Employee Resource Groups (ERGs): careerzynith offers a variety of ERGs that provide opportunities for support, networking, and community involvement for employees with similar interests or backgrounds.
- Employee Recognition Programs: Recognition and rewards for outstanding performance and contribution to our mission.
- Traveler Benefits: Assistance with travel expenses and traveler activities for those who travel for work.
- Sustainability Initiatives: careerzynith is committed to sustainability, and employees may have opportunities to participate in projects related to environmental responsibility.
About careerzynith's Work Environment
careerzynith fosters a work environment that values diversity, inclusion, and innovation. We believe that the best ideas come from diverse perspectives, and we're committed to creating an inclusive workplace where everyone feels valued and respected. As a remote-first organization, we've invested in cutting-edge collaboration tools and technologies to ensure seamless communication and teamwork regardless of location.
Our culture is built on trust, autonomy, and accountability. We empower our employees to take ownership of their work and make decisions that drive results. While we embrace flexibility, we maintain high standards of performance and excellence in everything we do.
Why Join careerzynith?
When you join careerzynith, you're becoming part of a global community of innovators and problem-solvers. We're not just processing data – we're transforming it into insights that drive decisions, shape products, and change how the world experiences athletic performance and innovation.
This remote opportunity offers the perfect balance of professional challenge and personal flexibility. You'll have the chance to work on meaningful projects that impact millions while enjoying the benefits of a supportive work environment and comprehensive benefits package.
How to Apply
If you're ready to take your data engineering career to the next level with careerzynith, we encourage you to apply. Please submit your resume and a cover letter highlighting your relevant experience and interest in this opportunity. While this role is remote, please note that telecommunications are available everywhere in the US except AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
careerzynith is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applications from candidates of all backgrounds and experiences.
Join careerzynith and be part of a team that's pushing the boundaries of what's possible in data engineering and analytics. Your journey toward professional excellence starts here.