Data engineer

Join our Group Benefits Product Data Analytics team-a diverse and high-performing group dedicated to delivering accurate data, insightful visualizations, and advanced analytics that drive business decisions and improve customer outcomes.

We are seeking a Data Engineer to play a key role in designing and building scalable data solutions that power business intelligence and analytics initiatives. This position spans the full data lifecycle, including data sourcing, transformation, storage, quality, and lineage, while enabling modern data platforms and capabilities.

• Design, build, and maintain scalable and efficient data infrastructure for data ingestion, transformation, storage, and analysis

• Develop and manage end‑to‑end data pipelines with a focus on data quality, reliability, and lineage

• Implement data orchestration processes, including sourcing, cleansing, enrichment, and validation

• Build and maintain robust ETL/ELT pipelines with strong fault tolerance and continuous integration

• Design and develop data models, pipelines, and applications to enable efficient data workflows

• Integrate data from enterprise systems, data lakes, and other internal/external sources

• Contribute to data platform modernization initiatives and roadmap planning

• Enhance and support enterprise data and reporting platforms

• Partner with business stakeholders to understand data needs, KPIs, and analytical requirements

• Translate business problems into data and analytics solutions, including prototypes and mock-ups

• Deliver insights and communicate analytical findings to non-technical audiences

• Support advanced analytics use cases, including descriptive and prescriptive analytics

• Develop reusable frameworks, automation scripts, and analytical tools

• Build containerized data solutions and analytics platforms for diverse data sources

• Evaluate emerging technologies and recommend innovative solutions for continuous improvement

• Monitor, optimize, and troubleshoot data pipelines to improve performance and reliability

• Ensure data quality, integrity, and governance across the data ecosystem

• Document and validate data sources to enhance data warehouses and data marts

• Support full development lifecycle activities, including design, testing, deployment, and post-production support

• Lead projects or work streams independently and contribute to planning efforts

• Act as a subject matter expert, providing guidance to team members and stakeholders

• Collaborate across cross-functional teams with minimal supervision

• Drive continuous improvement and contribute to team success

• Bachelor’s or master’s degree in computer science or a related technical field

• 10+ years of experience in data engineering within enterprise environments

• Advanced SQL expertise and experience with relational databases

• Strong hands-on experience with ETL/ELT pipeline design and implementation

• Experience with Azure data ecosystem (Azure Data Factory, Azure Databricks)

• Proficiency in data processing using PySpark, Python, SQL, or similar technologies

• Experience with big data frameworks (Spark, Hive, Hadoop)

• Advanced knowledge of data visualization tools (Power BI, Tableau, Qlik View)

• Experience building data ingestion pipelines for structured and unstructured data

• Strong understanding of data modeling, data warehouses, and data lake architectures

• Experience with cloud platforms (Azure, AWS, or GCP)

• Hands‑on experience with containerization and orchestration tools (Docker, Kubernetes, Open Shift)

• Proficiency in version control systems (Git)

• Understanding of cloud security best practices

• Strong analytical thinking and problem-solving abilities

• Ability to work independently and manage complex, evolving requirements

• Excellent communication skills with both technical and business audiences

• Passion for learning and adopting emerging technologies

• We’ll empower you to learn and grow the…