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Sr. Data Engineer

Job in Cockeysville, Baltimore City, Maryland, 21030, USA
Listing for: The Travelers Companies, Inc.
Full Time position
Listed on 2026-05-29
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members’ growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.

What Will You Do?

  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
  • Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
  • Perform other duties as assigned.

What Will Our Ideal Candidate Have?

  • Bachelor’s Degree in STEM related field or equivalent
  • Ten years of related experience
  • Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
  • Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
  • Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
  • Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
  • Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
  • Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
  • Experience with some of the following tools & platforms (or similar): AWS (s3, Lambda, Kinesis, API Gateway, IAM, Glue, SNS, SQS, Event Bridge, EKS, VPC, Step Functions, ECS/EKS, Dynamo

    DB, etc.), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, Open Search (Elasticsearch & Kibana), Talend, Alation, Neo4j, Hashicorp Vault / AWS Secrets Manager, Docker / Open Shift / Open Cloud Foundry, Mongo

    DB, Docker, Black Duck, Sonar Qube.
  • Knowledge and experience with the some of the following concepts:
    Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing/Test Automation (Unit, Integration, Performance, etc.), Web Services, Dev Ops, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.

What is a Must Have?

  • Bachelor’s degree or equivalent training with data tools, techniques, and manipulation.
  • Five years of…
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