Analytics Engineer

Job not on LinkedIn

🔥 8 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $55 - $60 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ELYON International

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

ELYON International is a company specializing in IT modernization solutions for both commercial businesses and government agencies. With over 26 years in business and a team of 180 consultants operating across 22 states, ELYON offers a wide range of services including infrastructure, application, data, and security modernization. The company emphasizes an outcomes-based approach to revamp IT ecosystems, ensuring organizations keep up with technological advancements. ELYON also provides cybersecurity and risk management, cloud services, IT workforce solutions, and identity and access management to enhance operational efficiency and security. Their solutions are designed to enhance both business competitiveness and governmental responsiveness in the rapidly evolving digital landscape.

📋 Description

• 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

• 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

• Paid sick leave • Medical/Dental (optional) • 401 (k) Retirement Plan (optional) • Employer Paid Life Insurance • Employer Paid Short Term Disability • Optional Life Insurance