```html
About careeraxis
careeraxis is a forward‑thinking technology partner that empowers businesses to harness the power of real‑time data. With a global footprint and a culture rooted in innovation, collaboration, and continuous learning, careeraxis is redefining how enterprises build, deploy, and scale data pipelines that drive actionable insights. Whether you’re a seasoned engineer or an emerging talent, careeraxis offers a dynamic environment where your ideas shape the future of data‑driven decision making.
Role Overview
We’re looking for a Remote Senior Data Engineer who thrives on solving complex data challenges and building event‑driven architectures on AWS. In this role, you will design, implement, and maintain scalable data pipelines that ingest, process, and analyze streaming data in real time. Your work will directly impact careeraxis’s ability to deliver high‑quality, low‑latency insights to our clients and internal stakeholders.
Why This Position Is Exciting
- Work from the comfort of your own home while collaborating with a global team of data professionals.
- Lead the development of cutting‑edge event‑driven solutions using AWS services such as EventBridge, Lambda, Step Functions, Kinesis, and DynamoDB.
- Drive data quality, security, and performance at scale.
- Enjoy a competitive hourly rate of $26, along with a comprehensive benefits package.
- Grow your career through continuous learning, mentorship, and access to industry‑leading tools.
Key Responsibilities
- Design, build, and maintain event‑driven data pipelines on AWS that ingest, transform, and route data from a variety of sources.
- Collaborate with cross‑functional teams to gather and translate business requirements into robust data solutions.
- Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability.
- Optimize pipelines for performance and cost efficiency, leveraging best practices in serverless architecture.
- Stay abreast of the latest AWS innovations and evaluate their applicability to careeraxis’s data strategy.
- Develop and maintain Python scripts, Pydantic models, and Lambda functions that power data transformations.
- Manage DynamoDB tables and NoSQL datasets, ensuring proper schema design and indexing.
- Utilize Amazon Kinesis to capture, process, and analyze streaming data in real time.
- Document architecture decisions, code standards, and operational procedures for knowledge sharing.
- Participate in code reviews, knowledge‑sharing sessions, and continuous improvement initiatives.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- Proven experience designing and deploying event‑driven data pipelines on AWS.
- Strong proficiency in Python, including experience with serverless frameworks and data‑processing libraries.
- Hands‑on knowledge of AWS services: EventBridge, Lambda, Step Functions, Kinesis, DynamoDB, and related tools.
- Solid understanding of data modeling, data quality, and data security best practices.
- Excellent analytical and problem‑solving skills, with a keen eye for detail.
- Ability to work independently and collaboratively in a remote, distributed environment.
Preferred Qualifications
- 3+ years of experience in data engineering or a related role.
- Experience with NoSQL databases and data warehousing solutions.
- Familiarity with Pydantic, data validation frameworks, and modern Python tooling.
- Knowledge of CI/CD pipelines and automated testing for data pipelines.
- Experience with observability tools such as CloudWatch, Datadog, or Prometheus.
- Previous work in a fast‑paced, high‑growth technology company.
Skills & Competencies
- Event‑driven architecture design
- Serverless development (AWS Lambda, Step Functions)
- Real‑time data streaming (Amazon Kinesis)
- Python programming & data manipulation
- NoSQL database design (DynamoDB, MongoDB)
- Data quality & governance
- Performance tuning & cost optimization
- Strong communication and documentation skills
- Adaptability and continuous learning mindset
Career Growth & Learning Opportunities
careeraxis is committed to nurturing talent and fostering professional growth. As a Senior Data Engineer, you will have access to:
- Mentorship from senior architects and data scientists.
- Regular training sessions on emerging technologies and AWS certifications.
- Opportunities to lead projects, present at internal tech talks, and contribute to open‑source initiatives.
- A clear career ladder that rewards innovation, ownership, and impact.
Work Environment & Culture
At careeraxis, we value Care, Integrity, Strength, Accountability, and Collaboration. Our remote-first culture means you can work from anywhere while staying connected through daily stand‑ups, virtual hackathons, and collaborative tools. We celebrate diversity, encourage curiosity, and empower every team member to bring their authentic self to work.
Compensation & Benefits
Hourly Rate: $26 per hour (competitive and