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About the Company:
HLP Integration is a leading provider of data and document management solutions, specializing in tailored technologies that leverage machine learning and artificial intelligence. We work with commercial and government clients to identify critical information that facilitates conclusive business decisions with accuracy and efficiency.
HLP Integration is a dynamic small business with a diverse and inclusive team, where every employee collaborates directly with senior leadership. We take pride in fostering an environment where all voices are heard, innovation is encouraged at every level, and everyone can chart their own career course. At HLP Integration, we believe in the power of collaboration, and our close-knit culture allows us to deliver personalized solutions and exceptional service to our clients. As a proud supporter of veterans both on our team and in our work, we are committed to providing opportunities for those who have served our country, and we value the unique perspectives they bring to our team.
Description:
HLP Integration is seeking a highly organized and detail-oriented Data Engineer for Reporting & Metrics to join our team. In this role, you will apply your strategic and analytical skills to major company challenges. You will team with world-class professionals to develop and test strategies that ultimately impact the bottom line. And you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation.
You will support the Department of Veterans Affairs (VA) with a Veteran first vision to transform the Veterans Benefits Administration (VBA) with greater visibility into claims processing. Together, we’re building a future of fast, transparent claims, empowered teams, and striving for a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served. This high-impact solution accelerates the delivery of benefits to Veterans and their families.
Through our Unified Claims Acceleration Platform (UCAP) initiative, we’re transforming the VBA into a paperless, automation-led, AI-enabled organization. Veterans will experience a faster, more transparent, and predictable claims process, while VBA’s workforce benefits from a sustainable and resilient system. Join us and bring this future to life.
Your Role:
As a Data Engineer supporting the Reporting & Metrics of the UCAP solution and future operations, you’ll serve as a critical bridge between requirements, deliverables and decision makers. This position will support a variety of UCAP program reporting and metrics functions ranging from data analysis, science, transformation and translating those into Tableau reporting dashboards. Reporting and metrics will help shape both decision makers and system improvements that deliver measurable outcomes for VBA claims processing. You will work closely with the program and project management teams, stakeholders, project delivery teams, operations team, and the reporting & metrics team.
Key Responsibilities:
· Design and develop interactive Tableau dashboards using advanced charts to visualize key performance indicators.
· Build and maintain data pipelines to extract, transform, and load structured and unstructured data into scalable AWS-based data platforms.
· Design and optimize data architectures using AWS services like Glue, Redshift, S3, Athena, and RDS.
· Implement and enforce data governance, security, and quality policies in accordance with VA standards.
· Support data ingestion from legacy systems and external partners, including OCR, APIs, and flat files.
· Develop reusable scripts and automation for data transformation and orchestration (Python, SQL, PySpark, etc.).
· Collaborate with analysts and data scientists to support advanced analytics and ML initiatives.
· Monitor, troubleshoot, and tune performance of ETL workflows and database systems.
· Contribute to DevSecOps and CI/CD practices for data engineering components.
Qualifications:
Pay: $70,000.00 - $100,000.00 per year
Benefits:
Education:
Experience:
Work Location: Remote
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