Data Engineer (Python / Power BI / Cloud)
🇺🇸 United States
Python
AWS
GCP
Azure
Design
Devops
SQL
Analyst
$80,000 – $100,000 / year
Data Engineer (Python / Power BI / Cloud)
from 🇺🇸 United States
$80,000 – $100,000 / year
Location Requirement
This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.
Position Overview
We are seeking a well-roundedData Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection ofdata engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.
The ideal candidate is hands-on withPython, SQL, and ETL development, while also being comfortable buildingPower BI dashboards and partnering with cross-functional teams in an Agile environment.
Key Responsibilities
- Design, develop, and maintainsecure and scalable data pipelines and ETL processes
- Build and optimizedata models to support analytics and reporting use cases
- DevelopPower BI dashboards and reports to deliver actionable insights
- Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
- Participate inAgile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
- Implementdata quality controls and ensure accuracy, consistency, and reliability of data outputs
- Develop and maintainPython scripts for data extraction, transformation, and automation
- Supportmetric development and reporting automation initiatives
- Contribute toinfrastructure-related activities, including deployments and environment support
- Create and maintaintechnical documentation (e.g., Confluence)
- Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
- 4–6+ years of experience indata engineering or related field
- Strong experience withPython and SQL
- Hands-on experience building and maintainingETL/data pipelines
- Experience withdata modeling and working with structured datasets
- Experience withPower BI (dashboard development and reporting)
- Familiarity withcloud platforms (AWS, Azure, or GCP)
- Experience working inAgile environments with cross-functional teams
- Strong problem-solving skills and attention to detail
- Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
- Experience withdata automation and metric standardization
- Exposure toinfrastructure deployments or DevOps practices
- Experience withConfluence or similar documentation tools
- Prior experience supportingenterprise reporting or analytics initiatives














