Analytics Engineer

Hiring: Analytics Engineer II / Data Engineer Client: Children s Hospital of Philadelphia (CHOP) Location: Philadelphia, PA 100% Onsite Duration: 6+ Months Potential: Possible conversion to Full-Time at the end of the contract Employment Type: W2 Only Important Requirements Candidates must work directly on our W2 . No visa sponsorship available at this time. Candidates must currently be local to the Philadelphia, PA area and be available to work onsite. Position Overview The Analytics Engineer II will develop and maintain scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI. This role will collaborate closely with business stakeholders, analysts, data scientists, and data engineers to deliver high-quality data products while ensuring data quality, performance, scalability, and reliability. Key Responsibilities Design, develop, and maintain dimensional data models and curated datasets. Develop automated and scalable ELT pipelines . Build and maintain Fact and Dimension tables . Implement data quality monitoring, testing, validation, and automation. Partner with business stakeholders, analysts, and data scientists to deliver analytics solutions. Support BI platforms, reporting solutions, and dashboard migrations. Follow 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 activities. Optimize SQL queries and data models for performance and scalability. Required Qualifications 6+ years of experience in Data Analytics, Analytics Engineering, BI, or Data Engineering. Advanced SQL skills, including complex transformations and performance tuning. Strong experience with Data Warehousing and Dimensional Data Modeling . Hands-on experience designing and maintaining Fact and Dimension tables . Strong 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, preferably RHEL/Debian . Scripting experience using Python, Bash, or similar languages . Strong analytical, troubleshooting, and problem-solving skills. Experience working in Agile environments . Preferred Qualifications 8+ years of experience in data and analytics. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform . Experience with Apache Airflow or similar orchestration tools. Experience supporting BI migrations to Power BI . Experience with semantic models and modern analytics engineering best practices. Education Bachelor s degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics , or a related field is preferred. Equivalent professional experience will also be considered. Must-Have Skills SQL | Snowflake | dbt | Dimensional Data Modeling | Fact Tables | Dimension Tables | Power BI Candidate Requirements Only submit candidates who: Are currently local to Philadelphia, PA . Can work 100% onsite . Are s . Meet the core requirements for SQL, Snowflake, dbt, dimensional modeling, Fact/Dimension tables, and Power BI .

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