Analytics Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20h ago
The date the source published, not the day we noticed it (2026-10-15). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$55–60/hr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
BambooHR employer's own board first seen 1h ago · last seen just now
The listing
Analytics Engineer
Position Summary
We are seeking an experienced Analytics Engineer to support a large-scale federal healthcare data and technology modernization program. This individual will bridge 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.
Key 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.
Required Qualifications
- 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 both technical and business stakeholders.
- Ability to meet applicable federal background investigation requirements.
Preferred Qualifications
- 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.
**Disclaimer: This position is contingent upon ELYON’s receipt of contract award, Government acceptance of the proposed candidate, completion of required onboarding, and continued contract funding.**
Benefits:
Paid sick leave, Medical/Dental (optional), 401 (k) Retirement Plan (optional), Employer Paid Life Insurance, Employer Paid Short Term Disability, Optional Life Insurance.
ELYON International, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.