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Closed on September 30, 2026.

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COREHIRE

Analytics Engineer

COREHIRE
Philadelphia, PA Contract Posted 2mo ago
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
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Job Description

COREHIRE is looking for an Analytics Engineer II for a contract opportunity in Philadelphia, PA (onsite). In this role, you will build and maintain scalable data models, automated ELT pipelines, and trusted datasets that support enterprise analytics and self-service BI. You will collaborate closely with business stakeholders, analysts, data scientists, and engineering teams to help ensure data quality, performance, and reliability.

What you’ll do

  • 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.
  • Apply software development best practices using Git, code reviews, and CI/CD.
  • Collaborate with Data Engineering, DevOps, and Architecture teams.
  • Participate in Agile/Scrum ceremonies and provide production support.

What you bring

  • 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering.
  • Advanced SQL experience, including complex transformations and performance tuning.
  • Strong background in data warehousing and dimensional data modeling, including designing and maintaining Fact and Dimension tables.
  • Hands-on experience with Snowflake.
  • Experience building analytics models using dbt.
  • Experience with data quality testing and validation.
  • Working knowledge of Git, code reviews, and CI/CD.
  • Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects.
  • Experience with big data technologies including 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, plus experience working in Agile environments.

Nice to have

  • 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.

Key skills: SQL, Snowflake, dbt, Dimensional Data Modeling, Fact Tables, Dimension Tables, Power BI.

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