Data Engineer — Pipelines & Analytics Lead

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

Benefits offered by this job

Medical, Dental, Vision

Long-term disability

401(k)

Paid time off

Job summary

Accenture Flex is seeking a Data Engineer in California to design, develop and maintain data solutions that support data generation, collection, and processing. The role focuses on building robust data pipelines, ensuring data quality and implementing ETL to migrate data across systems.

You will collaborate with cross-functional teams and guide analytics initiatives. Accenture Flex offers competitive rewards, benefits and world-class learning resources; on-site in your local metro area with

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.
• Advanced proficiency in Data Engineering along with expert proficiency in Data Pipelines and Data Processing is suggested.
• Python SQL Data Pipelines and Data Processing.
• Utilize strong SQL Python expertise to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features.
• Build reporting dashboards and visualizations to design create and track campaign program KPIs.
• Perform analyses on large data sets to understand drivers of marketing engagement and provide recommendations on campaign and product optimization.
• Project manage end to end process of analytics tooling feature development including request intake requirements evaluation cross functional team alignment feature execution QA testing and stakeholder communications.
• Interface and consult with marketers analysts and cross functional partners to understand their reporting and data needs serving as the point of contact for requests inquiries and action items.
• Interface with other data engineering product and data science teams to implement client needs and initiatives

Skills

Python

SQL

Data Pipelines

Data Processing

Education

High School Diploma or GED

Job description

Accenture Flex is seeking a Data Engineer in California to design, develop and maintain data solutions that support data generation, collection, and processing. The role focuses on building robust data pipelines, ensuring data quality and implementing ETL to migrate data across systems.

You will collaborate with cross-functional teams and guide analytics initiatives. Accenture Flex offers competitive rewards, benefits and world-class learning resources; on-site in your local metro area with