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Analytics Engineer - Locals to Philadelphia PA
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Based on Pennsylvania data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$113,315 / year median in Pennsylvania
+12% projected growth
Job 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. 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. Qualifications 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.