Analytics Engineer

Elyon International•Washington, DC

2d•$55 - $60

About The Position

We are seeking an experienced Analytics Engineer to support a large-scale federal healthcare data and technology modernization program. This role bridges data engineering and analytics by transforming complex data into reliable, well-structured, analytics-ready datasets that support reporting, business intelligence, operational analysis, and data-driven decision-making. The Analytics Engineer will collaborate with data engineers, analysts, data scientists, application teams, and business stakeholders to develop scalable data models, transformation pipelines, and analytical solutions within a complex enterprise environment. The position is contingent upon ELYON’s receipt of contract award, Government acceptance of the proposed candidate, completion of required onboarding, and continued contract funding.

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical discipline.
5+ years of experience working in analytics engineering, data engineering, business intelligence engineering, or a related data-focused role.
Advanced proficiency with SQL and relational data concepts.
Experience developing data models and data transformation pipelines.
Experience working with modern data warehouses, cloud data platforms, or data lake environments.
Strong understanding of ETL/ELT concepts and data integration.
Experience implementing data quality validation and testing.
Experience with Python or another data-oriented programming language.
Experience with version control and modern software development practices.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication skills and the ability to collaborate with technical and business stakeholders.
Ability to meet applicable federal background investigation requirements.

Nice To Haves

Previous experience supporting federal healthcare, health IT, or large federal data programs.
Experience working with healthcare or clinical data environments.
Experience with dbt (Data Build Tool).
Experience with Snowflake, Databricks, Microsoft Azure, AWS, or equivalent cloud data platforms.
Experience with modern BI platforms such as Power BI, Tableau, or Looker.
Experience with data cataloging, lineage, metadata management, and governance.
Familiarity with healthcare interoperability standards such as HL7 or FHIR.
Experience working within Agile and DevSecOps environments.

Responsibilities

Design, develop, and maintain scalable analytics data models and transformation pipelines.
Transform raw data into trusted, structured, analytics-ready datasets.
Develop reusable data models and curated datasets to support reporting, dashboards, analytics, and operational decision-making.
Write and optimize complex SQL queries for large-scale datasets.
Develop automated data transformation and validation processes.
Establish data quality checks, testing practices, and monitoring processes.
Partner with data engineers to optimize data ingestion, transformation, and storage processes.
Collaborate with analysts and business stakeholders to understand reporting requirements and translate them into scalable technical solutions.
Support business intelligence dashboards and enterprise reporting solutions.
Maintain documentation for data models, transformations, lineage, and business logic.
Identify and resolve data quality, consistency, and performance issues.
Contribute to enterprise data governance, metadata management, and data standardization efforts.
Participate in Agile development activities, technical reviews, and release planning.
Support cloud-based data modernization and analytics initiatives.
Ensure solutions comply with applicable federal security, privacy, governance, and data management requirements.