Data Science & Analytics Lead - Enterprise Data Pipelines

MOREgroup; Philadelphia (Philadelphia County); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k) plan with company match

Life insurance, long-term and short‑‑/

Disability benefits

Employee Assistance Program

Paid time off & paid vacation

Job summary

MOREgroup is seeking a data professional to design, build, and maintain scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The role emphasizes modern cloud data platforms and integration tools for end-to-end data lifecycle management.

The ideal candidate brings hands-on experience with data platforms and ETL/ELT tooling, and can collaborate with stakeholders to deliver impactful data initiatives while leading offshore teams across

Qualifications

• Bachelor’s degree in Computer Science, Data Science, IT, or related field; 3+ years in data roles.
• Hands-on with modern cloud data platforms and ETL/ELT tooling.
• Strong programming and SQL skills; ability to handle large datasets.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures.
• Build and optimize data warehouses and analytical models for insights.
• Integrate data from internal and external sources using APIs and ETL/ELT tools.
• Collaborate with stakeholders to translate data needs into technical solutions.
• Lead offshore data teams to support analytics initiatives.
• Ensure data quality, security, and performance across platforms.

Skills

Python

SQL

Communication

Project management

Analytical thinking

Education

Bachelor’s degree in Computer Science, Data Science, IT, or related field

Tools

Snowflake

Databricks

Redshift / Azure Synapse

Informatica / Boomi / Talend / SSIS

Python / R / Scala

SQL databases (Oracle / MySQL / PostgreSQL)

Job description

MOREgroup is seeking a data professional to design, build, and maintain scalable data pipelines and analytics solutions that enable data-driven decision-making across the organization. The role emphasizes modern cloud data platforms and integration tools for end-to-end data lifecycle management.

The ideal candidate brings hands-on experience with data platforms and ETL/ELT tooling, and can collaborate with stakeholders to deliver impactful data initiatives while leading offshore teams across