Job Title: Sr. Data Engineer

Company Name: Index Analytics

Job Details: $119k-$147k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/fbl38d8zxo2u2ww1

Job Description: Posted 2d agoSr. Data Engineer@ Index AnalyticsView All JobsWebsiteBaltimore, Maryland, United States$119k-$147k/yrRemoteFull TimeResponsibilities:Collaborating stakeholders, Designing pipelines, Developing modelsRequirements Summary:Senior data engineer with 6+ years' experience; AWS, Snowflake, Python, SQL; ability to obtain U.S. government badge; strong communication; Agile environment.Technical Tools Mentioned:AWS, Snowflake, Python, SQL, GitHub, Jenkins, S3, Lambda, Glue, Step Functions, CloudWatch, SQS, DynamoDB, SageMaker, EventBridge
Index Analytics is seeking a Sr. Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Sr. Data Engineer plays a key role in modernizing the organization’s data ecosystem by helping transition legacy solutions to a contemporary infrastructure. This role blends advanced data engineering with hands‑on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevOps practices. The ideal candidate has experience delivering high‑quality solutions in an Agile environment. 

Responsibilities


	Collaborate closely with stakeholders, cross‑functional and internal technical teams to gather requirements, document business rules and develop thorough understanding of the business context and objectives
	Design, build, and maintain scalable, reliable ETL/ELT data pipelines using AWS and Snowflake
	Develop and optimize data models, both conceptual and physical, to support analytics, reporting, and operational consumption
	Implement data quality, validation, and monitoring frameworks to ensure accuracy and reliability
	Improve end-to-end performance of data workflows 
	Develop and maintain cloud-based data infrastructure using AWS services such as S3, Lambda, Glue, Step Functions, CloudWatch, SQS, DynamoDB, SageMaker and Event Bridge
	Collaborate to design secure, scalable, and cost‑optimized data solutions.
	Contribute to cloud governance, security, and best practices
	Build and maintain CI/CD pipelines using Jenkins to support automated testing, deployments, and continuous integration
	Ensure data workflows are modular, testable, and properly version‑controlled.
	Operationalize pipelines with monitoring, alerting, and automated recovery mechanisms
	Meet schedule deadlines and commitments with a high-level of quality of deliverables. 
	Collaborate with a team of cross-functional resources in an Agile delivery environment to deliver iterative value