IntePros
Job Title:
Data Engineer (Junior-Mid Level) Location:
Philadelphia, PA. Hybrid - 3 days onsite, 2 days remote Employment Type:
Contract (eligible for conversion)
About the Role We are looking for a
junior-mid level Data Engineer
to help design and deliver data solutions that power business applications. You will focus on ETL/ELT development, data integration, and pipeline optimization while collaborating with senior developers in an Agile environment. This role is perfect for someone eager to grow their career in data engineering.
Key Responsibilities Build, test, and maintain ETL/ELT pipelines for data movement and transformation. Work with stakeholders to translate requirements into scalable technical solutions. Support data validation, testing, and troubleshooting. Document processes, workflows, and technical designs. Participate in Agile ceremonies and daily team collaboration. Qualifications 2-5 years of experience as a Data Engineer, ETL Developer, or Application Developer with data focus. Proficiency in SQL and relational databases. Experience with ETL tools (Informatica, Talend, SSIS, etc.). Strong analytical and problem-solving skills. Hybrid availability: 3 days onsite per week. Nice to Have Experience with cloud-based platforms (AWS, Azure, GCP). Knowledge of scripting/programming (Python, Shell). Familiarity with modern data engineering tools (dbt, Snowflake). Why Join Us? Work with modern data engineering practices and Agile teams. Grow under the mentorship of experienced developers. Hybrid flexibility and pathway to conversion. #LI-JP1
Data Engineer (Junior-Mid Level) Location:
Philadelphia, PA. Hybrid - 3 days onsite, 2 days remote Employment Type:
Contract (eligible for conversion)
About the Role We are looking for a
junior-mid level Data Engineer
to help design and deliver data solutions that power business applications. You will focus on ETL/ELT development, data integration, and pipeline optimization while collaborating with senior developers in an Agile environment. This role is perfect for someone eager to grow their career in data engineering.
Key Responsibilities Build, test, and maintain ETL/ELT pipelines for data movement and transformation. Work with stakeholders to translate requirements into scalable technical solutions. Support data validation, testing, and troubleshooting. Document processes, workflows, and technical designs. Participate in Agile ceremonies and daily team collaboration. Qualifications 2-5 years of experience as a Data Engineer, ETL Developer, or Application Developer with data focus. Proficiency in SQL and relational databases. Experience with ETL tools (Informatica, Talend, SSIS, etc.). Strong analytical and problem-solving skills. Hybrid availability: 3 days onsite per week. Nice to Have Experience with cloud-based platforms (AWS, Azure, GCP). Knowledge of scripting/programming (Python, Shell). Familiarity with modern data engineering tools (dbt, Snowflake). Why Join Us? Work with modern data engineering practices and Agile teams. Grow under the mentorship of experienced developers. Hybrid flexibility and pathway to conversion. #LI-JP1