> Markdown version of [/jobs/ext/1310267-data-engineer](https://www.wearedevelopers.com/jobs/ext/1310267-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** MFS Investment Management, LLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $98,500.0 - $141,500.0 - **Contract:** Permanent contract - **Skills:** Adobe InDesign, Agile Methodology, Amazon Web Services, Business Analytics Applications, Unit Testing, Microsoft Azure, Cloud Computing, Code Coverage, Databases, Data Architecture, Data Validation, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Virtualization, Data Warehousing, DevOps, Platform as a Service (PAAS), SQL Databases, Workflow Management Systems, Google Cloud, Data Ingestion, Snowflake, Event Driven Architecture, Information Technology, Data Analytics, Real Time Data, Data Management, Data Delivery, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/541c9758-0953-40c9-8d39-eac9ac45dc3d ## About the Role * Bachelor's degree in Computer Science or related disciplines. * Minimum of 5 years of experience in design, development and building data oriented complex applications. * Minimum of 2-4 years of hands-on progressive experience from SQL to Advanced SQL. * Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles. * Knowledge of and experience with Snowflake and other cloud native databases is highly preferred. * Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google Google Cloud Platform or Amazon AWS * Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments. * Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc. * Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired. * Good interpersonal and communication skills with the ability to lead cross-team collaboration and partnerships across a variety of internal and external constituencies. ## Description In conjunction with the Investment Data Management Office, the Senior Data Engineer contributes to a long-term strategic initiative to unify and harmonize our investment data. This initiative enables enhanced investment decision making, risk management and client reporting for our multi-asset platform by delivering consistent, timely, accurate and user-friendly data to investors, risk teams and clients. Are you a hands-on and detailed-oriented individual working on the cutting edge of financial instruments, investment data, and analytics? Are you interested in investment data strategies across a wide variety of traditional and alternative asset classes? Are you a thinker who enjoys devising innovative and flexible business solutions to meet emerging business needs?, The MFS Investment Data Management Office is actively searching for a Senior Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation and maintenance of data ingestion, data maintenance, data validation and data delivery of investment data. We are looking for someone who thrives in an agile, collaborative, team-based environment, working closely with technology peers across MFS, investment professionals and key vendor partners. This position offers the opportunity to shape the future of investment data at MFS., * Design, develop, and implement data pipelines to maintain unified data platform for the Investment Data Management Office (IDMO) * Create and maintain detailed technical design and architecture documentation to support development, implementation, and ongoing enhancement of data engineering solutions * Develop and execute comprehensive unit tests, ensuring thorough test coverage and clear documentation of test cases and results * Lead and participate in all development activities, develop and implement solutions to meet business requirements that align with program strategic objectives * Responsible for new and on-going development of data pipelines sourcing from internal and external sources * Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring * Troubleshooting complex system interactions to find the root cause to problems * Partner with platform lead to design, develop, implement and deploy new software components to investment data platform * Partner with data architect to evaluate and finalize the unified data model * Partner with integration architect to upgrade and integrate data ingestion and data delivery tools with the unified data platform * Upgrade and integrate transformation tool, data validation tool and orchestration tools with the unified data platform to implement data engineering, analytical engineering and data maintenance capabilities. * Provide support during unexpected outages ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)