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About opportunicore
Welcome to opportunicore, a forward‑thinking technology partner that is redefining how businesses harness data to drive real‑time decisions. With a global footprint and a passion for innovation, opportunicore empowers organizations across finance, healthcare, retail, and logistics to transform raw information into actionable insights. Our culture is built on Care, Integrity, Strength, Accountability, and Collaboration, and we are committed to fostering an inclusive environment where every team member can thrive, learn, and make a lasting impact.
Why Join opportunicore?
As a remote Senior Data Engineer, you will be at the heart of opportunicore’s mission to deliver scalable, event‑driven data solutions that power our clients’ digital transformation. You’ll work with cutting‑edge AWS services, collaborate with cross‑functional teams, and shape the future of data architecture—all while enjoying the flexibility of a fully remote role. In return, opportunicore offers competitive compensation, a comprehensive benefits package, and a culture that rewards innovation, continuous learning, and personal growth.
Key Responsibilities
- Design, build, and maintain event‑driven data pipelines on AWS, leveraging services such as Amazon EventBridge, AWS Lambda, and AWS Step Functions to orchestrate real‑time data flows.
- Collaborate with stakeholders to translate business requirements into robust data architecture, ensuring data quality, security, and compliance.
- Implement data quality checks and monitoring using CloudWatch, AWS X-Ray, and custom dashboards to guarantee data integrity and performance.
- Optimize pipelines for performance and cost by fine‑tuning Lambda concurrency, Step Function state machines, and data storage strategies.
- Stay current with AWS innovations and evaluate new services that can enhance opportunicore’s data platform.
- Develop Python applications and Pydantic models for data validation, transformation, and enrichment.
- Manage NoSQL data stores such as DynamoDB and other NoSQL databases, including schema design, indexing, and backup strategies.
- Utilize Amazon Kinesis for ingesting, processing, and analyzing streaming data in real time.
- Mentor junior engineers and share best practices in serverless architecture, data modeling, and DevOps.
- Document architecture decisions and maintain up‑to‑date technical specifications for future reference.
Essential Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
- 3+ years of professional experience designing and implementing data pipelines, preferably in a cloud environment.
- Hands‑on expertise with AWS event‑driven services: EventBridge, Lambda, Step Functions, Kinesis, and DynamoDB.
- Strong proficiency in Python, including experience with serverless frameworks and Pydantic for data validation.
- Solid understanding of data modeling, data quality, and data security best practices.
- Experience with NoSQL databases and designing scalable data schemas.
- Excellent analytical and problem‑solving skills, with a keen eye for performance optimization.
- Strong communication skills and the ability to work effectively in a distributed, cross‑functional team.
Preferred Qualifications
- Master’s degree or advanced certifications in cloud architecture (e.g., AWS Certified Solutions Architect – Professional).
- Experience with containerization (Docker, ECS) and CI/CD pipelines for data services.
- Knowledge of data governance frameworks and compliance standards (GDPR, HIPAA).
- Familiarity with observability tools such as Datadog, Splunk, or Grafana.
- Prior experience in a data‑centric startup or high‑growth technology company.
Core Skills & Competencies
- Serverless Architecture & Cloud Engineering
- Event‑Driven Design Patterns
- Python Development & Data Validation (Pydantic)
- NoSQL & DynamoDB Expertise
- Streaming Data Processing (Amazon Kinesis)
- Data Quality & Governance
- Performance Tuning & Cost Optimization
- Agile & DevOps Practices
- Strong Written & Verbal Communication
- Team Collaboration & Mentorship
Career Growth & Learning Opportunities
At opportunicore, we believe that learning is a continuous journey. As a Senior Data Engineer, you will have access to:
- Annual learning stipend for courses, certifications, and conferences.
- Mentorship programs pairing you with senior architects and industry experts.
- Rotational opportunities across product, analytics, and infrastructure teams.
- Leadership tracks for those aspiring to become Engineering Managers or Technical Leads.
- Regular hackathons and innovation challenges to experiment with new technologies.
Work Environment & Culture
Remote by design, opportunicore offers a flexible work schedule that respects your personal commitments while ensuring high productivity. Our culture is characterized by:
- Transparent communication through weekly all‑hands meetings and open Slack channels.
- Inclusive hiring practices that celebrate diversity of thought and background.
- Regular virtual coffee breaks and team‑building activities.
- Commitment to mental and physical well‑being with access to wellness programs.
- Community outreach initiatives that encourage employees to give back.
Compensation & Benefits
While the base rate for this role is $26 per hour, opportunicore offers a comprehensive benefits package that includes:
- Competitive salary and performance‑based bonuses.
- 401(k) plan with company match up to 9%.
- Health, dental, vision, and life insurance.
- Paid time off, sick leave, and parental leave.
- Flexible work hours and remote work stipend.
- Employee assistance program and mental health resources.
- Professional development budget and tuition reimbursement.
- Employee discount program for travel, tech, and wellness services.
How to Apply
Ready to take the next step in your data engineering career? Submit your resume and a brief cover letter outlining why you’re the perfect fit for opportunicore. We look forward to exploring how your expertise can help us build the next generation of data solutions.
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