Senior Data Engineer - Realtime Order Analytics and Reporting
Join our Realtime Order Analytics and Reporting team as a Senior Data Engineer. You will design, develop, and maintain ETL and data pipelines using AWS services, process real-time data from Kafka streams and S3 storage, and build scalable data solutions using Python, PySpark, and PyAthena.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
🔥 Data Engineer – Hybrid | Stamford, CT
Nationwide Candidates Welcome
✈️ Relocation Assistance & Visa Sponsorship Available
We are hiring an experienced Data Engineer to join our Realtime Order Analytics and Reporting team based in Stamford, Connecticut.
In this role, you will work on real-time financial transaction data, building scalable AWS-based data pipelines that support business intelligence, analytics, and regulatory reporting.
This is a hybrid opportunity offering strong compensation, long-term stability, and exposure to enterprise-scale data systems.
🔍 Keywords
Data Engineer, AWS Data Engineer, Python Data Engineer, PySpark Developer, ETL Developer, Big Data Engineer, Kafka Data Engineer, AWS Glue, Athena, EMR, S3, Financial Data Engineering, Hybrid Jobs USA, Stamford CT Jobs
👨 💻 About the Team
You will be part of the Realtime Order Analytics and Reporting Team, a high-impact group responsible for transforming high-volume financial transaction data into:
- Actionable business insights
- Regulatory compliance reports
- Real-time analytics dashboards
The team focuses on automation, scalability, and zero-maintenance data platforms.
💼 Key Responsibilities
As a Data Engineer, you will:
- Design, develop, and maintain ETL and data pipelines using AWS services
- Process real-time data from Kafka streams and S3 storage
- Build scalable data solutions using Python, PySpark, and PyAthena
- Develop data transformation logic for analytics and regulatory reporting
- Design optimized data models and schemas
- Implement automated data quality checks and monitoring
- Troubleshoot and resolve data pipeline and performance issues
- Contribute to data architecture and infrastructure decisions
- Ensure systems meet performance, security, and compliance standards
- Continuously improve data pipelines for scalability and reduced maintenance
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science or related field
- 3+ years of professional Data Engineering experience
- Strong hands-on experience with:
- Python (as a primary programming language)
- PySpark
- PyAthena
- ETL pipeline development
- Solid experience with:
- AWS services – S3, Glue, Athena, EMR
- Kafka or streaming data platforms
- SQL and database systems
- Pandas or NumPy
- Experience with Linux operating systems
- Strong analytical and problem-solving skills
- Good communication and documentation abilities
💎 Why This Is a Great Opportunity
- 💰 Competitive salary + 30% performance-based bonus
- 📈 Stock grants
- 🏦 401(k) with strong company match
- 🏥 Company-paid medical insurance
- 🧘 Wellness programs, EAP, health coaching
- 🍼 Generous parental leave policy
- 🍽️ Daily lunch allowance
- 🥗 Fully stocked kitchen with healthy snacks
- 🎉 Corporate events, team outings & sports activities
- 📚 Education reimbursement & learning programs
- 🖥️ Modern office setup with multi-monitor workstations
📍 Location
Stamford, Connecticut – Hybrid Work Model
🌎 Nationwide candidates welcome
✈️ Relocation assistance & visa sponsorship available
#DataEngineer #AWSDataEngineer #PythonJobs #PySpark
#ETLDeveloper #BigDataJobs #Kafka #HybridJobs
#StamfordCTJobs #USJobs #HiringNow #TechJobs
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