Analytics Engineer
Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
CI/CD
Cloud
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Viz
Data Warehouse
Data Warehousing
Database
Databases
Dataviz
Desktop Support
DevOps
Devops Tools
Digital Marketing
End User Support
ETL
Hadoop
Informatica
Information Technology (IT)
Integration
Kafka
Microsoft
Power BI
Power Platform
Programming
Programming Languages
Reporting and Analytics
Snowflake
Software Development
Spark
SQL
Systems
Tableau
Technical Support
Visual Design
Job Description
Contract Analytics Engineer position based in Philadelphia, PA (onsite), supporting enterprise analytics and self-service BI. You will build and maintain scalable data models, automated ELT pipelines, and trusted datasets while partnering closely with business stakeholders, analysts, data scientists, and engineers to keep data reliable, high-quality, and performant.
What you’ll be building
- Design and maintain dimensional data models and curated datasets
- Develop automated, scalable ELT pipelines
- Implement data quality monitoring, testing, and automation
- Support trusted analytics by working with Fact Tables and Dimension Tables
- Use dbt to develop analytics models
- Build and integrate with APIs for data access and consumption
How you’ll collaborate
- Partner with business users, analysts, and data scientists to deliver analytics solutions
- Collaborate with Data Engineering, DevOps, and Architecture teams
- Support BI platforms, reporting, and dashboard migrations
- Participate in Agile/Scrum ceremonies and production support
Engineering practices you’ll use
- Follow software development best practices with Git, code reviews, and CI/CD
- Use strong engineering discipline to ensure data reliability, performance, and consistency
Required experience
- 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering
- Advanced SQL skills, including complex transformations and performance tuning
- Strong experience in Data Warehousing and Dimensional Data Modeling
- Hands-on experience with Snowflake
- Experience with data quality testing and validation
- Experience with Git, code reviews, and CI/CD
- Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects
- Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop
- Linux experience (RHEL/Debian)
- Scripting experience using Python, Bash, or similar languages
- Strong analytical and problem-solving skills
- Experience working in Agile environments
Preferred (optional)
- 8+ years in data and analytics
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with Apache Airflow or similar orchestration tools
- Experience supporting BI migrations to Power BI
- Experience with semantic models and analytics engineering best practices
Education: Bachelor’s degree (Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field).
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