v3 staffing28.01.26
AI SCORE 8.5

Senior Data Engineer - Realtime Order Analytics

$120K–$150K/year

About the Role

We are hiring a Senior Data Engineer - Realtime Order Analytics to join our dynamic team. This position is based in Stamford, Connecticut, but we welcome nationwide candidates. As a Senior Data Engineer, 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.

What You'll Do

  • 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.

Requirements

  • 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, and PyAthena.
  • Solid experience with AWS services – S3, Glue, Athena, EMR.
  • Experience with Kafka or streaming data platforms.
  • Proficient in SQL and database systems.
  • Familiarity with Pandas or NumPy.
  • Experience with Linux operating systems.
  • Strong analytical and problem-solving skills.
  • Good communication and documentation abilities.

Nice to Have

  • Experience in financial data engineering.
  • Knowledge of data governance and compliance standards.
  • Familiarity with data visualization tools.

What We Offer

  • 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.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Engineer position offers a competitive salary, hybrid work model, and a chance to work on impactful financial data projects. Join a supportive team with great benefits!

Salary Range
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About v3 staffing

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Industry
Tech
Location
On-site

Who Will Succeed Here

Proficient in building and optimizing ETL pipelines using PySpark and AWS Glue to handle large-scale data processing and ensure data quality.

Strong understanding of real-time data streaming concepts, particularly with Apache Kafka, to facilitate timely analytics and reporting on financial transactions.

Experience in utilizing AWS services such as S3, Athena, and EMR, with a proactive mindset to adapt to emerging data technologies and methodologies.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Engineer - Realtime Order Analytics(Now)Lead Data Engineer(1-2 years)Data Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$18.2B
Annual Growth
22.4%
AI Adoption
65%
Investment
+150%
Labour Demand
+30%
Avg Salary
$130K

Skills & Requirements

Required
PythonPySparkAWS
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Spark
Declining
Hadoop MapReduceTraditional ETL Tools (e.g., Informatica)

Domain Trends

Real-time Data Processing
The demand for real-time analytics is projected to grow by 35% over the next two years as businesses increasingly prioritize immediate insights.
Cloud Data Solutions
By 2025, over 80% of organizations will migrate to cloud-based data platforms, driving the need for skills in AWS and serverless architectures.
Integration of AI in ETL Processes
Over 50% of data engineering teams are adopting AI-driven ETL tools to automate data pipelines, reflecting a shift towards more intelligent data processing.

Industry News

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