The Opportunity
At MassMutual, we are dedicated to empowering millions of individuals to achieve financial independence, a commitment that fuels our journey to create highly interactive digital experiences for our customers. As part of our Data Platform Data Engineering team, we are seeking Data Engineers who are enthusiastic about utilizing data to drive impactful business outcomes.
As a Data Engineer - you are proficient in design, development, and review of data pipelines towards Analytical and Operational data.

The Team
The Data Engineering team in Enterprise IT Product and Operations Technology organization, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual forward. As a Data Engineer you will be transforming complex data into actionable insights and are committed to a culture of growth and evolving capabilities in the dynamic field of data engineering.

• Define and establish a Data Integration Strategy which will enable the systems integrations moving from point-to-point to passthrough model.
• Design, develop and implementation of data integration solutions supporting batch/ETL and API-led integrations that deliver tangible business value.
• Proactively assess the current state of the technology and identify gaps and overlaps. Capture future state technology vision in actionable, context-specific roadmaps.
• Develop policies around data quality, data security, data retention, data stewardship, and proactively identify and support project impacts.
• Serves as an expert level technical resource across multiple initiatives.
• Work in a team-based environment including a global workforce, vendors, and third-party contractors.

• Translate high-level business requirements into detailed technical specifications.
• Collaborate closely with peers, offering mentorship and fostering a knowledge-sharing environment.
• Continuously evaluate and advocate for advanced tools, technologies, and processes that drive industry best practices.
• Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements.
• Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions.
• Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency.
• Assist in the design and development of APIs for seamless data integration across platforms.

• Bachelor's degree in computer science, Engineering, or a related field.
• 5+ years of Data engineering experience in designing/ building complex data pipelines supporting data analytics and data warehousing.
• 4+ years working with Data and relevant computation frameworks and system.
• 4+ years using Python programming language.
• 5+ years' experience in writing SQL and query optimization.
• 3+ years of experience with Cloud Technologies preferably AWS.
• 3+ years of experience working with columnar databases such as AWS Redshift, Snowflake, Databricks, Vertica etc.

• Master's degree in computer science or engineering.
• Cloud Technologies: Proven experience in a cloud computing environment, preferably AWS (S3, EC2, Kubernetes, Terraform, etc.).
• Python: Practical development and data analysis experience using Python.
• Advanced Data Processing: Knowledge in using data processing technologies such as Apache Spark or Kafka.
• Workflow Management: Familiarity with orchestration and scheduling tools like Apache Airflow.
• Experience with data reporting and visualization tools (e.g., MicroStrategy, Tableau) and data cataloging tools (e.g., Alation).
• Experience with Agile data engineering principles and methodologies
• Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies.
• Strong understanding of ELT methodologies and tools.
• Experience in data warehousing and familiarity with data warehousing concepts and terminologies.
• Capable of troubleshooting and conducting root cause analysis to address and resolve data issues effectively.
• Analyze and develop physical database designs, data models and metadata
• Communication: Outstanding communication skills, coupled with strong problem-solving, organizational, and analytical abilities.

• Regular collaboration with the Data Platform Data Engineering team.
• Focused one-on-one time with your manager to support your development.
• Access to mentorship opportunities within and outside the team.
• Networking opportunities including access to diverse Business Resource Groups.
• Engage with learning content on Degreed and other platforms to enhance your skills.
• Your ethical values will be appreciated in a company known for its strong ethical standards, offering industry-leading pay and benefits.