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Analytics Engineer
ELYON International. Design, develop, and maintain scalable analytics data models and transformation pipelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing scalable analytics data models and transformation pipelines, with advanced proficiency in SQL and experience in cloud data platforms. Strong analytical and problem-solving skills are essential for ensuring data quality and compliance with federal requirements.
Highest-signal resume keywords
Advanced SQL ProficiencyData Model DevelopmentETL/ELT ConceptsCloud Data PlatformsData Quality Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData TransformationData ModelingPythonETLData Quality TestingData GovernanceMetadata ManagementAgile DevelopmentDevSecOps
Soft Skills
Analytical SkillsProblem-SolvingCommunication SkillsCollaboration
Tools & Technologies
SnowflakeDatabricksMicrosoft AzureAWSPower BITableauLookerDbt
Industry Keywords
Healthcare DataFederal Data ProgramsInteroperability StandardsHL7FHIR
Tech Stack
Tools & technologiesAWSAzureCloudETLPythonSQLTableau
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
- 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
Benefits
Comp & perks- Paid sick leave
- Medical/Dental (optional)
- 401 (k) Retirement Plan (optional)
- Employer Paid Life Insurance
- Employer Paid Short Term Disability
- Optional Life Insurance