Analytics Engineer
COREHIRE
Job Description
Job Description
Analytics Engineer II
Location: Philadelphia, PA (Onsite)
Duration: 6+ Months – possible conversion to FTE
Type: W2
Overview
The Analytics Engineer develops and maintains scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI. This role partners with business stakeholders, analysts, data scientists, and engineers to deliver high-quality data products and ensure data quality, performance, and reliability.
Responsibilities
- 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.
Required Experience
- 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 Experience
- 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 in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field preferred. Equivalent professional experience will be considered.
Must-Have Keywords
SQL, Snowflake, dbt, Dimensional Data Modeling, Fact Tables, Dimension Tables, Power BI
Vacancy posted 13 days ago
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