Lead Data Engineer - Pipelines, Python & Analytics

Accenture PLC; Mountain View (CA); On-site; USD 99,000 - 127,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Long-term disability

401(k) plan

Paid time off

Job summary

Accenture Flex seeks a Data Engineer to design, develop, and maintain data solutions across systems. You will build scalable pipelines, ensure data quality, and support ETL processes while collaborating with multiple teams to deliver robust analytics capabilities.

You will lead end-to-end analytics tooling projects, provide guidance, and help optimize marketing campaign data. Requires strong Python/SQL skills and 4+ years in data engineering.

Qualifications

• Minimum 4 years of experience in Data Engineering.
• Advanced proficiency in Python, SQL, Data Pipelines and Data Processing.
• High School Diploma or GED required.

Responsibilities

• Lead design and optimization of scalable data architectures.
• Collaborate with cross functional teams to align data solutions with goals.
• Provide technical guidance and support to colleagues.
• Analyze data challenges and develop innovative approaches.
• Drive best practices in data management and pipelines.
• Engineer data pipelines and perform routine and ad hoc analyses.
• Build dashboards and visualizations to track KPIs.
• Interface with marketers and analysts to gather reporting needs.

Skills

Python

SQL

Data Pipelines

Data Processing

Data Engineering

Education

High School Diploma or GED

Job description

Accenture Flex seeks a Data Engineer to design, develop, and maintain data solutions across systems. You will build scalable pipelines, ensure data quality, and support ETL processes while collaborating with multiple teams to deliver robust analytics capabilities.

You will lead end-to-end analytics tooling projects, provide guidance, and help optimize marketing campaign data. Requires strong Python/SQL skills and 4+ years in data engineering.