Data Engineer: Pipelines, ETL & Architecture Lead

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)

Paid Time Off

Job summary

Accenture Flex seeks a Data Engineer to design, implement, and maintain data solutions that support data generation, collection, and processing. You will build data pipelines, ensure data quality, and deploy ETL processes across systems while guiding teams on best practices.

You will collaborate with marketers, analysts, and cross-functional partners to deliver reliable analytics tooling and dashboards, driving campaign insights and product optimization.

Qualifications

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

Responsibilities

• Lead the design and optimization of scalable data architectures to support evolving business needs.
• Collaborate closely with cross functional teams to align data solutions with organizational goals and technical standards.
• Provide technical guidance and support to colleagues fostering knowledge sharing and continuous improvement.
• Analyze complex data challenges and develop innovative approaches to enhance data reliability and efficiency.
• Drive the adoption of best practices in data management and pipeline development to elevate overall quality.

Skills

Data Engineering

Python

SQL

Data Pipelines

Data Processing

Education

High School Diploma or GED

Job description

Accenture Flex seeks a Data Engineer to design, implement, and maintain data solutions that support data generation, collection, and processing. You will build data pipelines, ensure data quality, and deploy ETL processes across systems while guiding teams on best practices.

You will collaborate with marketers, analysts, and cross-functional partners to deliver reliable analytics tooling and dashboards, driving campaign insights and product optimization.