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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer, Data Science Infrastructure - **Company:** Liberty Mutual Insurance Company - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $83,000.0 - $157,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Generation, Code Review, Computer Engineering, Data Discovery, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Mining, Data Systems, Data Warehousing, Programming Tools, Python (Programming Language), Operational Databases, Scrum Methodology, Query Optimization, Cloud Services, SQL Databases, Data Streaming, Parquet, Feature Engineering, Snowflake, Prompt Engineering, Apache Spark, Pyspark, Information Technology, Low Latency, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=15461bdaeba9ba74 ## About the Role * Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). * Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience * Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. * Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). * Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: * Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). * Prior mentoring or technical leadership experience., * Strong written and oral communication skills required * Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred * Master`s in same or related disciplines strongly preferred * 3-5 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. ## Description Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market., * Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. * Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. * Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics * Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches * Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). * Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. * Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. * Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) * Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. ## 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) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)