Senior Data Engineer at CALIBRE Systems Inc – Alexandria, Virginia

Senior Data Engineer
HLS 5253-585

CALIBRE Systems, Inc., an employee-owned mission focused solutions and digital transformation company, is looking for a highly motivated Senior Data Engineer to join our dynamic team supporting a federal client. This role requires an innovative and collaborative mindset, with the ability to work closely with designers, back-end engineers, and business stakeholders to deliver high-quality, scalable digital solutions.

Responsibilities include, but are not limited to:

· Manages and coordinates with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. · Develops, maintains, evaluates, and tests valuates data solutions within an organization. · Develops and executes plans, policies, and practices that control, protect, deliver, and enhance the value and integrity of the organization's data and information assets and programs. · Collects, stores, processes, and analyzes raw and/or complex data from multiple sources, recommends ways to apply the data, chooses and designs optimal data solutions, and builds data processing systems, using expertise in data warehousing solutions and working with the latest database technologies. · Maintains, implements, and monitors the quality of the data and information with the architecture used across the company; reports on results and identifies and recommends system application changes required to improve the quality of data in all applications. · Investigates data quality problems, conducts analysis to determine root causes of problems, corrects errors, and develops prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions. · Processes unstructured data into a form suitable for analysis, followed by doing the analysis. · Integrates innovations and algorithms into the organization's data systems, working closely with engineering teams. · Implements complex data projects with a focus on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. · Decides on hardware and software design needs and acts according to the decisions. · Serves as a data subject matter expert, collaborates with business owners or external clients to establish an analysis plan to answer key business questions, and delivers both reporting results and insights. · Generates specific and operational reports in support of objectives and initiatives and presents and communicates complex analytical data and results to appropriate audiences[JC1] . · Own MLOps and production data architecture for model deployment, monitoring, and retraining.

· Define and enforce data quality standards, validation, and lineage.

· Ensure scalability, reliability, and security of data and ML platforms.

]Add to cover MLOps, ML Engineering, and DQ:

Own MLOps and production data architecture for model deployment, monitoring, and retraining.

Define and enforce data quality standards, validation, and lineage.

Ensure scalability, reliability, and security of data and ML platforms.

· Advanced proficiency in SQL and programming languages such as Python or Java.

· Strong knowledge of ETL processes, data modeling, and data pipeline development.

· Familiarity with data governance principles and compliance standards.

· Ability to troubleshoot data quality issues and implement corrective measures.

· Excellent communication skills for conveying technical insights to non-technical stakeholders

· Basic working knowledge (i.e. ability to understand, speak about, and participate in solutioning) of the following domains: Data privacy (specifically PII/PHI), the software development life cycle, Federal data policies, the Tricare Military Health System

· Master’s degree in Data Science, Computer Science, Information Systems, or a related field

· 8–10 years of experience in data engineering, data architecture, or related roles.

· Proven experience with data warehousing solutions and modern database technologies.

· Hands-on experience with cloud-based platforms (AWS certification preferred).

· 5+ years of experience managing large-scale data projects and ensuring data quality across multiple systems.

· Demonstrated experience working with Federal healthcare agencies, Federal healthcare data, and/or data containing PII/PHI

· Active Secret Clearance at the Department of Defense (or eligibility to obtain a clearance)

· Ability to work east coast business hours (8am-5pm)

· Active Security+ certification

Remote (Worldwide)

Full-Time/Regular

Equal Opportunity Employer, including disability/protected veterans