Data Engineer

Trianz • Boston, MA

3d • Hybrid

About The Position

Liberty Mutual Investments is seeking an experienced Cloud Data Engineer / AWS Engineer to design, develop, and optimize scalable, cloud-native data solutions. The role focuses on building high-performance data pipelines, optimizing cloud data platforms, and implementing scalable AWS solutions using services including Amazon S3, ECR, Fargate, Glue, Lambda, EC2, and Athena. Candidates with investment-domain experience, particularly Private Credit, are highly preferred. Candidates may qualify through one of three combinations: Data Engineering and AWS; Data Engineering and Private Credit; or AWS Engineering and Private Credit.

The position is based in Boston, Massachusetts, with a hybrid schedule requiring two days per week onsite. The stated duration is nine months, with a possible extension. The interview process consists of recruitment prescreening, two technical rounds, and a client interview.

Requirements

• 14+ years of overall IT experience.
• For data engineering-focused profiles, 7+ years of Data Engineering experience, including scalable data pipelines and cloud-native architectures.
• Expert-level SQL proficiency, including complex queries, performance tuning, data transformations, and large-scale processing.
• For data engineering-focused profiles, strong hands-on Snowflake experience, including cloud data warehousing, data processing, and optimization.
• Deep understanding of database design, data modeling, data architecture, and data warehousing.
• For AWS-focused profiles, strong AWS expertise, particularly Amazon S3, ECR, and Fargate.
• Experience with AWS Glue, Lambda, EC2, and Athena.
• Experience implementing ETL/ELT pipelines, data ingestion, and workflow orchestration.
• Understanding of DevOps, CI/CD pipelines, GitHub Actions, Bamboo, and infrastructure automation.
• Strong problem-solving, communication, and stakeholder management skills.
• Candidates must meet at least one of the stated combinations: Data Engineering + AWS; Data Engineering + Private Credit; or AWS Engineering + Private Credit.
• For the Data Engineering + Private Credit option: experience in the investment industry, specifically Private Credit.
• For the AWS Engineering + Private Credit option: AWS cloud infrastructure design, setup, and engineering experience; hands-on experience with S3, ECR, Fargate, and related infrastructure; and investment-domain experience, particularly Private Credit.
• For the AWS Engineering + Private Credit option: understanding of financial data integrations and cloud-based data platforms.
• Bachelor's degree in Computer Science, Engineering, or Information Systems, or equivalent professional experience.

Nice To Haves

• Private Credit or broader investment management domain experience.
• AWS CDK, Terraform, or Infrastructure as Code (IaC).
• Python scripting and REST API integration.
• CI/CD automation using GitHub Actions or Bamboo.
• Experience supporting cloud data platforms in financial services.
• Strong ownership mindset and ability to work independently.
• For the Data Engineering + AWS option, Python, Terraform, AWS CDK, and API integration experience are advantageous.

Responsibilities

• Design, develop, and maintain scalable cloud-native data architectures and solutions.
• Build, optimize, and support data pipelines using Snowflake, SQL, and AWS services.
• Design data models, database schemas, and data warehousing solutions for large-scale processing.
• Set up, configure, and manage AWS infrastructure, including Amazon S3, ECR, Fargate, Glue, Lambda, EC2, and Athena.
• Develop and maintain efficient ETL/ELT workflows and data integration processes.
• Implement automation, orchestration, and CI/CD pipelines using DevOps tools.
• Ensure data quality, performance, security, reliability, and operational efficiency.
• Collaborate with investment business teams, architects, and engineering stakeholders.
• Support API integrations, cloud automation, and data platform modernization initiatives.

What This Job Offers

• Career Level: Senior