Data Analytics Engineer - Techno functional

Capgemini Sogeti offers a flexible hybrid work arrangement in the Atlanta area, with day one onsite in Alpharetta, GA. The role carries a competitive annual salary of USD 103,330 to 128,656 and a benefits program designed to support health, retirement, family-building, and ongoing professional growth. This hybrid position combines data engineering depth with business analytics to deliver scalable data solutions and actionable insights.

Benefits

• Flexible work arrangements that support work life balance
• Health coverage including medical, dental, vision, mental health and well being programs
• Financial wellness options such as a 401(k) plan and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family-building assistance including adoption support, surrogacy and cryopreservation
• Social well being benefits such as subsidized backup child and elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster relief support
• Medical, dental and vision coverage with national or provincial healthcare coordination
• Retirement savings programs such as a 401(k) or RRSP where applicable
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

About the role

This role blends technical data engineering with strategic analytics to support business functions. The Data Analytics Engineer is responsible for understanding needs, developing scalable data solutions, and delivering actionable insights to the business in a hybrid setting.

Responsibilities

• Partner with business stakeholders to specify core metrics, KPIs, and data requirements
• Design, implement, and maintain scalable data pipelines and ETL processes to support analytics and reporting
• Translate complex data into clear, business‑oriented insights and recommendations
• Develop and maintain dashboards, reports, and visualizations
• Ensure data accuracy, consistency, and governance across platforms
• Perform in-depth analyses to uncover trends, risks, and opportunities
• Collaborate with data scientists, product managers, and business teams to support strategic initiatives

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Statistics, or a related field
• 8 years of experience in data engineering and analytics roles
• Strong proficiency in SQL and analytics tools
• Experience in financial services and wealth management with expertise in stock plans, financial data, crypto and related business processes
• Hands-on experience with data warehousing solutions such as Snowflake
• Solid understanding of data modeling, architecture and governance principles
• Excellent communication and collaboration skills

Technologies

• SQL
• Snowflake
• Dataiku
• AWS
• Azure
• GCP