Data Engineer III

New

SparksoftIT Solutions

Remote/Hybrid if local to MarylandFull-TimeSenior

Salary not disclosed

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Job Details

Bachelor’s degree in computer science, Information Systems, Engineering, or a related field.
7+ years of experience as a Data Engineer, Data Platform Engineer, or similar role.
Extensive hands-on experience designing and implementing data platforms and cloud-based data solutions.
Experience in developing data pipelines and reporting using tools like PostgreSQL, AWS Grafana, AWS Quighsight, Apache AirFlow, AWS Bedrock.
Strong proficiency in SQL and Python for data engineering, analytics, and automation.
Deep understanding of relational and non-relational databases.
Experience with GitHub, source control management, branching strategies, pull requests, and code review processes.
Experience implementing data quality, monitoring, observability, and governance solutions.
Experience working in Agile/Scrum delivery environments.

Partner with business stakeholders, product owners, architects, and technical teams to understand business objectives, data requirements, and operational needs.
Build data pipelines using data from multiple data sources, PostgreSQL, AWS Grafana, Quighsight and AWS Infrastructure and associated data integration technologies.
Design and implementation of secure, scalable, resilient, and cost-optimized cloud data solutions.
Define and implement scalable data ingestion, transformation, and consumption patterns across structured and semi-structured data sources.
Establish data engineering standards, best practices, and reusable design patterns across the Program.
Design, develop, and optimize conceptual, logical, and physical data models supporting analytics, reporting, dashboards, and operational systems.
Establish monitoring, alerting, observability, and automated recovery mechanisms across critical data pipelines.

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