Analytics Engineer - Locals to Philadelphia PA

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.

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.