Senior Data Engineer & Systems Analyst (AWS) - Remote

Job4Travelers

Boca Raton (FL)

Remote

USD 29,000 - 39,000

Full time

8 days ago

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Job summary

Enroute is seeking a Data Engineer to design and optimize data models, mappings, and ETL/ELT pipelines on AWS. You will collaborate with business stakeholders, translate requirements, and ensure data governance and security across financial data and PII.

Strong Python, SQL, and GitHub/Jira experience are essential, with Scrum/Kanban practices and documentation focus. You will participate in sprint planning, backlog refinement, and reviews, delivering reliable data solutions and clear technical

Qualifications

Strong Data Engineering experience, including data modeling, data transformation, and data integration.

Responsibilities

Collaborate with business stakeholders to understand business needs and translate them into functional and non-functional requirements and technical solutions.
Design, develop, and maintain data models, data mappings, and transformation logic to enable seamless integration between source and target systems.
Build, test, and maintain ETL/ELT processes and data pipelines on AWS, ensuring data accuracy, reliability, and timely availability.
Develop and optimize SQL queries for data analysis, validation, and troubleshooting across relational databases.
Leverage Python to process, validate, query, and automate data workflows.
Analyze system architecture diagrams and technical specifications to understand data exchanges across microservices and distributed systems, identifying integration points and potential gaps.
Create and maintain comprehensive documentation, including data flows, mapping specifications, user stories, and acceptance criteria for technical and non-technical stakeholders.
Participate in Agile (Scrum/Kanban) development processes, including sprint planning, backlog refinement, and sprint reviews, while tracking activities and deliverables in Jira.
Manage and maintain code, scripts, and technical documentation using GitHub or other version control systems.
Ensure the secure handling of sensitive financial data and personally identifiable information (PII), adhering to data governance, privacy, and compliance standards.
Support testing and User Acceptance Testing (UAT) by defining test scenarios, validating data integrity, and collaborating with development teams to identify and resolve defects.
Communicate project progress, technical risks, dependencies, and key updates effectively to cross-functional teams and leadership.