About careerzynith and the Opportunity Ahead
At careerzynith, we believe that data is the engine that powers innovation, customer experience, and strategic growth. As a forward-thinking organization operating at the intersection of technology, analytics, and customer service, careerzynith is committed to building world-class data infrastructure that transforms how information flows across the business. Our teams are passionate about solving complex data challenges, designing scalable architectures, and turning raw signals into meaningful insights that drive decisions at every level.
We are now seeking a highly skilled and motivated Senior Data Engineer to join our growing data organization. In this role, you will design, build, and maintain event-driven data pipelines on Amazon Web Services (AWS) that power personalization, real-time analytics, and operational intelligence across careerzynith. If you are an experienced engineer with deep AWS expertise, a passion for data quality, and a curiosity for emerging cloud technologies, this is your opportunity to make a measurable impact from the comfort of your home.
Key Responsibilities
As a Senior Data Engineer at careerzynith, you will be a technical leader and hands-on builder responsible for shaping the future of our data platform. Your day-to-day work will include:
- Designing, building, and maintaining event-driven data pipelines on AWS using services such as Amazon EventBridge, AWS Lambda, and AWS Step Functions to support real-time and near-real-time processing needs.
- Collaborating with cross-functional stakeholders — including product managers, analysts, data scientists, and software engineers — to gather, refine, and translate business requirements into robust data engineering solutions.
- Implementing and enforcing data quality checks, validation routines, and monitoring to ensure the integrity, accuracy, and reliability of data flowing through every stage of the pipeline.
- Optimizing data pipelines for performance, scalability, and cost-efficiency, including tuning Lambda execution times, Kinesis shard allocation, and DynamoDB capacity modes.
- Staying ahead of the curve by continuously evaluating new AWS services, features, and architectural patterns that could improve careerzynith’s data ecosystem.
- Developing and deploying personalization algorithms using Python and Pydantic models that leverage clean, well-modeled datasets to deliver tailored customer experiences.
- Designing, building, and maintaining DynamoDB tables and other NoSQL data stores to support high-throughput, low-latency application and analytical use cases.
- Using Amazon Kinesis to collect, process, and analyze streaming data from customer interactions, operational systems, and third-party integrations.
- Documenting architectures, data flows, and operational runbooks to ensure knowledge is shared across the team and that systems are maintainable by others.
- Mentoring junior engineers and contributing to a culture of engineering excellence, code review, and continuous improvement within the data organization.
What You Need to Succeed (Minimum Qualifications)
- Consistently prioritizes the safety, security, and privacy of self, others, and personal data in every decision and action.
- Embraces diverse perspectives, backgrounds, and working styles, contributing to an inclusive and collaborative team environment.
- A strong sense of ownership and accountability for the systems you build and the data they produce.
- Excellent communication and documentation skills, with the ability to explain complex technical concepts to non-technical audiences.
What Will Give You a Competitive Edge (Preferred Qualifications)
- Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field.
- 3+ years of hands-on experience in data engineering, with a proven track record of delivering production-grade solutions.
- Deep, practical understanding of AWS-native event-driven services, including EventBridge, Lambda, Step Functions, SQS, and SNS.
- Solid experience with data modeling, data quality frameworks, and data security best practices.
- Strong proficiency in Python and experience with serverless development patterns and frameworks.
- Familiarity with NoSQL databases (especially DynamoDB), including schema design, partitioning strategies, and performance tuning.
- Working knowledge of Amazon Kinesis for streaming data ingestion and processing.
- Experience with data validation libraries such as Pydantic to enforce data contracts and type safety.
- Excellent problem-solving, debugging, and root-cause analysis skills.
- Ability to work independently as a self-directed contributor while also thriving as part of a collaborative, cross-functional team.
- Exposure to Infrastructure-as-Code tools such as AWS CDK, Terraform, or CloudFormation is a strong plus.
Skills and Competencies for Success
- Cloud Architecture: Deep understanding of serverless and event-driven design patterns on AWS.
- Data Engineering Best Practices: Strong grasp of ETL/ELT, data modeling (star, snowflake, Data Vault), and data lifecycle management.
- Programming: Advanced Python skills with a focus on writing clean, testable, and maintainable code.
- Streaming & Real-Time Processing: Hands-on experience with Kinesis, Kafka, or similar streaming platforms.
- Security & Compliance: Awareness of data privacy regulations, encryption, IAM, and least-privilege access patterns.
- Analytical Thinking: Ability to translate ambiguous business questions into clear technical solutions.
- Collaboration: Comfortable working across teams, time zones, and disciplines in a remote-first environment.
Career Growth, Learning, and Development at careerzynith
At careerzynith, we don’t just offer a job — we offer a career trajectory. As a Senior Data Engineer, you will have direct access to:
- Structured career development programs designed to help you achieve your long-term professional goals, whether that means advancing into a Principal Engineer role, moving into architecture, or leading a data engineering team.
- Generous tuition reimbursement and certification support for AWS, Python, and other relevant technologies.
- Mentorship opportunities with senior leaders and access to internal mobility across product, platform, and analytics teams.
- A culture that encourages continuous learning, conference attendance, and participation in technical communities of practice.
Work Environment and Company Culture
careerzynith is built on a foundation of shared values — Care, Integrity, Resilience, Service, and Collaboration — that guide everything we do. Our remote-first culture is rooted in trust, transparency, and mutual respect. We believe that great work happens when people are given the autonomy to do their best work, supported by leaders who listen and teammates who lift each other up. We are proud to foster a diverse and inclusive workplace where every voice is valued and where different perspectives drive better outcomes.
You’ll join a team that genuinely cares about well-being — not just professionally, but personally. From mental health resources to family support programs, careerzynith invests in the whole person.
Compensation, Perks, and Benefits
We believe that taking care of our people is the smartest investment we can make. That’s why careerzynith offers a comprehensive and competitive benefits package, including:
- Competitive hourly pay starting at $26/hour, with regular performance reviews and merit-based increases.
- Industry-leading profit-sharing and performance incentive programs that reward your contributions.
- 401(k) retirement plan with generous company contributions of up to 9%.
- Generous paid time off, including vacation, holidays, personal days, and parental leave.
- Comprehensive health coverage, including medical, dental, vision, short-term and long-term disability, and life insurance.
- Family care assistance, including fertility support, surrogacy and adoption help, lactation support, and subsidized backup care.
- Wellness programs focused on physical, emotional, social, and financial health, including access to an Employee Assistance Program (EAP) for you and your family.
- Travel and lifestyle benefits, including access to hundreds of discounts on hotels, car rentals, insurance, legal services, and childcare through our perks platform.
- Employee Resource Groups (ERGs) that connect you with colleagues who share your interests and help drive inclusion across careerzynith.
- Recognition and rewards through peer-to-peer appreciation programs that celebrate outstanding contributions.
Work Schedule and Location
- Employment Type: Full-time
- Work Hours: 8 hours per day, standard business hours with flexibility based on team needs
- Work Model: 100% Remote — work from home anywhere in the United States
- Primary Location: Georgia, USA (remote candidates nationwide are encouraged to apply)
- Industry: Private — Technology & Data Infrastructure
How to Apply
If you are ready to take the next step in your data engineering career and join a company that values your skills, supports your growth, and empowers you to do meaningful work, careerzynith wants to hear from you. Bring your expertise in AWS, your passion for clean and reliable data, and your curiosity for what’s possible — and help us build the data platform that powers the future of careerzynith.
Apply today and discover what it feels like to do your best work with a team that’s truly committed to helping you climb. Your next chapter starts here, at careerzynith.