Data Engineer

Job Description
As a Senior Data Engineer L1, you will be responsible for designing, developing, and maintaining scalable data platforms that enable data-driven decision-making. You will work with cross-functional teams to build and optimize data pipelines, ensuring high performance, reliability, and security of enterprise data solutions.

Your Impact

• Design, develop, and maintain data platforms to support business intelligence, analytics, and machine learning initiatives.
• Build and optimize data pipelines, ensuring efficient data processing, storage, and retrieval.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
• Implement data governance, security, and compliance best practices to ensure data integrity and regulatory adherence.
• Automate data workflows using tools like Apache Spark, Apache Flink, or cloud-based data processing services.
• Optimize data storage and retrieval mechanisms for performance and cost efficiency.
• Troubleshoot and resolve data platform issues, ensuring minimal downtime and maximum availability.
• Stay updated with emerging data technologies and best practices to drive continuous improvement.

Skills & Experience

• 5+ years of experience in data engineering, data platforms, or related fields.
• Strong expertise in data processing frameworks such as Apache Spark, Apache Flink, or cloud-based data services (AWS Glue, Azure Data Factory, Google Cloud Dataflow).
• Proficiency in SQL, NoSQL databases, and data warehousing solutions (Snowflake, Redshift, BigQuery, etc.).
• Experience with data modeling, ETL/ELT processes, and data integration techniques.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong programming skills in Python, Scala, or Java for data processing and automation.
• Knowledge of data security, governance, and compliance frameworks.
• Experience with real-time data processing, streaming analytics, and event-driven architectures is a plus.
• Strong problem-solving and analytical skills with a focus on performance optimization and scalability.

Set Yourself Apart With

• Must be eligible for government clearance
• Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, or Azure Data Engineer Associate).
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Knowledge of data lakes, data mesh, and modern data architecture principles.
• Exposure to machine learning pipelines and AI-driven data processing.

Additional Information

Annual Pay Range: USD 100, ,000

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at

Company Description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.