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# Analytics Engineer - Locals to Philadelphia PA

- **Company:** Intone Networks
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Training Data, Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Business Analytics Applications, Data Analysis, Automation of Tests, Microsoft Azure, Bash Shell, Big Data, Cloud Computing, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Warehousing, Debian Linux, Linux, DevOps, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Performance Tuning, Scrum Methodology, Systems Development Life Cycle, Red Hat Enterprise Linux, Power BI, Sqoop, Tableau (Software), Software Organization, Scripting, Sql Optimization, Snowflake, Apache Spark, Sap Business Objects, Git, Information Technology, Data Analytics, Qlikview, Apache Kafka, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/analytics-engineer-locals-to-philadelphia-pa-philadelphia-pa--0a28e83b-5dc5-4963-9ae8-560471ec429b

## About the Role

Team Player, Data Modeling, Training Data Sets, Dimensional Modeling, Scalable System Development, Quality Monitoring, Data Quality, Test Automation, Data Science, Business Intelligence, * Required

 * 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering.
 * Advanced SQL skills, including complex transformations and performance tuning.
 * Strong Data Warehousing and Dimensional Data Modeling experience.
 * Experience designing and maintaining Fact and Dimension tables.
 * Hands-on experience with Snowflake.
 * Experience developing analytics models using dbt.
 * 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.
 * Experience building and consuming APIs.
 * Linux experience (RHEL/Debian).
 * Scripting experience using Python, Bash, or similar languages.
 * Strong analytical and problem-solving skills.
 * Experience working in Agile environments.
 * Preferred
 * 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.
 * Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field.

## Description

We are seeking an Analytics Engineer for a 12-month contract position based in Philadelphia, Pennsylvania. This role offers the opportunity to work onsite with a team delivering enterprise data solutions, with potential for conversion to a permanent hire at the conclusion of the contract., * Design and maintain dimensional data models and curated datasets.

 * Develop automated, scalable ELT pipelines.
 * Implement data quality monitoring, testing, and automation.
 * Partner with business users, analysts, and data scientists to deliver analytics solutions.
 * Support BI platforms, reporting, and dashboard migrations.
 * Use software development best practices including Git, code reviews, and CI/CD.
 * Collaborate with Data Engineering, DevOps, and Architecture teams.
 * Participate in Agile/Scrum ceremonies and production support.