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Join careerzynith as a Senior Data Engineer
Are you ready to transform how a leading organization understands its customers through powerful data engineering and business intelligence solutions? careerzynith is seeking a talented and motivated Senior Data Engineer to join our growing Analytics & Insights team. This is a exceptional opportunity for a data professional who thrives on building robust data pipelines, developing insightful dashboards, and driving data-driven decision making across the organization.
At careerzynith, we believe that data is the cornerstone of exceptional customer experience. As a Senior Data Engineer, you will play a pivotal role in architecting and implementing data solutions that directly impact how we understand, serve, and delight our customers. You'll work at the intersection of data engineering, business intelligence, and customer analytics, creating the infrastructure that powers critical business insights.
What You'll Do
As the Senior Data Engineer at careerzynith, you will lead the methodology and execution of incorporating new datasets that fuel investigation and information science drives for our Client Experience organization. Your work will be instrumental in consolidating, organizing, and automating data collections from multiple sources including contact centers, e-commerce platforms, conditional data, store networks, and operational systems.
You'll be responsible for stitching and migrating various customer-related data sources into Google BigQuery, maintaining our enterprise data warehouse, planning and executing quality assurance processes, and delivering ad-hoc reporting that answers critical business questions. This role requires a strategic thinker who can translate complex business requirements into elegant technical solutions.
Key Responsibilities
- Data Pipeline Development (50%): Plan and develop effective, user-friendly applications, reports, and dashboards using BI tools like MicroStrategy and SAS. Create robust data pipelines that seamlessly integrate data from multiple enterprise sources into our centralized data warehouse.
- Business Collaboration (25%): Partner with business leaders to identify priorities and gather requirements. Provide innovative solutions by building custom tools, reports, and predictive models. Automate reporting workflows to deliver timely insights without manual intervention.
- Best Practices & Innovation (25%): Research and report best practices and standards for utilizing our BI tools. Provide thought leadership on industry trends and emerging technologies in data engineering and analytics.
- Design and maintain scalable data architecture that supports millions of customer interactions daily
- Develop and implement data quality monitoring frameworks to ensure accuracy and reliability
- Create technical documentation and knowledge base articles for data engineering standards
- Mentor and guide junior team members on data engineering best practices
What We're Looking For
Essential Qualifications
- Education: Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related technical field
- Experience: Minimum of 3-5 years of progressive experience in data engineering, business intelligence, or analytics roles
- Technical Proficiency: Strong mastery of SQL with preference for Google BigQuery experience
- Programming Skills: Solid knowledge of Python for data processing and automation
- Data Pipeline Experience: Demonstrated experience with data streaming technologies and real-time data processing
- Analytical Thinking: Strong ability to translate complex business requirements into technical specifications
Preferred Qualifications
- Experience with data stitching processes – combining datasets from various sources to derive deep insights into customer behavior and journey (e.g., integrating contact center data with customer orders)
- Proven experience in moving data on regular rhythms between platforms – understand data synchronization and ETL/ELT workflows
- Experience navigating and analyzing organization data to support statistical analysis for business stakeholders
- Previous retail industry experience is highly desirable
- Knowledge of cloud-based data warehousing solutions and modern data architecture patterns
- Familiarity with version control systems and CI/CD pipelines for data engineering
Skills & Competencies Required for Success
- Technical Expertise: Deep knowledge of SQL, Python, and data pipeline architecture
- BI Tools Proficiency: Experience with enterprise BI platforms such as MicroStrategy, SAS, Tableau, or Power BI
- Cloud Platform Knowledge: Familiarity with Google Cloud Platform, AWS, or Azure data services
- Communication Skills: Excellent ability to communicate complex technical concepts to non-technical stakeholders
- Problem-Solving: Strong analytical and problem-solving skills with attention to detail
- Collaboration: Ability to work effectively across teams and with business partners
- Project Management: Strong organizational and time management skills to handle multiple priorities
Career Growth Opportunities & Learning Benefits
At careerzynith, we invest in our people and their professional development. As a Senior Data Engineer, you'll have access to:
- Career Advancement: Clear pathways for career progression into Lead Data Engineer, Principal Data Engineer, or Analytics Manager roles
- Continuous Learning: Access to professional development courses, certification programs, and training workshops
- Industry Exposure: Opportunity to work with cutting-edge technology stack and methodologies in a retail industry leader
- Mentorship: Direct mentorship from senior technical leaders and exposure to executive stakeholders
- Cross-Functional Experience: Exposure to multiple business units including e-commerce, stores, supply chain, and customer service
- Innovation Time: Opportunities to propose and lead innovative data projects
Work Environment & Company Culture
careerzynith fosters a dynamic, collaborative, and inclusive work environment where diverse perspectives are valued and innovation thrives. We believe in creating an atmosphere where our team members can grow both professionally and personally.
Work-Life Balance
- Flexible Work Arrangements: This position offers remote work flexibility, allowing you to work from home while maintaining connection with your team
- Collaborative Spaces: Modern office facilities designed for collaboration and productivity
- Inclusive Culture: A workplace that celebrates diversity and promotes belonging
Physical Requirements
- Primary work involves sitting in a comfortable position with regular opportunity to move around
- Occasional need to move or lift light materials or equipment
- Standard office environment with comfortable indoor settings
- Any undesirable circumstances would be infrequent and not offensive
Travel Requirements
Position typically requires occasional overnight travel less than 10% of the time for team meetings, training sessions, or strategic planning offsites.
Compensation & Benefits
careerzynith offers a competitive compensation package designed to attract, retain, and reward top talent:
- Competitive Salary: $20-$30 per hour based on experience and qualifications
- Health & Wellness: Comprehensive health, dental, and vision insurance coverage
- Retirement Plans: 401(k) retirement plan with company match
- Paid Time Off: Generous paid time off policy including vacation, sick leave, and holidays
- Professional Development: Tuition reimbursement and professional development opportunities
- Employee Discounts: Exclusive employee discount program
- Work-Life Programs: Flexible spending accounts and wellness programs
Why Join careerzynith?
careerzynith is more than a company – it's a place where you can build a meaningful career doing work that matters. We are committed to transforming the customer experience through data-driven insights, and we need passionate, talented individuals like you to help us achieve that mission.
As a Senior Data Engineer at careerzynith, you'll have the opportunity to:
- Work with massive datasets that impact millions of customers daily
- Build scalable data solutions that become the backbone of business intelligence
- Collaborate with cross-functional teams across the entire organization
- Develop expertise in cutting-edge technologies and methodologies
- Make a tangible impact on business outcomes and customer satisfaction
Ready to Make an Impact?
If you're passionate about data engineering, thrive on solving complex problems, and want to be part of a team that's transforming how a leading organization understands and serves its customers, we want to hear from you!
Apply now to join careerzynith as a Senior Data Engineer and take the next step in your career with a company that values innovation, collaboration, and excellence.
careerzynith is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.