Senior Data Engineer

🕒 il y a 2 mois

🤠 Texas – Distant

🤠 Texas – Remote

💵 $69 400 - $99 200 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Gainwell Technologies

Site WebLinkedInTous les Emplois

10 000+ employés

💼 Conseil

📦 Logistique

⚕️ Assurance santé

💰 Grant en 2023-06

Consulting • Logistics • Healthcare Insurance

Gainwell Technologies est le principal fournisseur national de solutions numériques et en mode cloud dans l'écosystème des services sociaux et de la santé publique. Avec une approche axée sur les missions, Gainwell sert des clients dans les 50 états américains, en se concentrant sur l'amélioration des résultats de santé et la fourniture d'expériences intuitives centrées sur l'humain. Leur gamme complète de solutions comprend la modernisation de l'entreprise Medicaid, l'analyse de données, les services aux prestataires et les solutions pharmaceutiques, toutes conçues pour faire progresser l'avenir des soins de santé et améliorer le bien-être communautaire.

Description

• Architect Scalable Data Pipelines: Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. • Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely, accurate, and governed access to data for downstream reporting and analytics. • Optimize Data Workflows: Improve performance, reduce latency, and streamline processes by tuning SQL, optimizing Spark jobs, and enhancing cloud data pipelines. • Leverage Cloud Infrastructure: Utilize AWS services (e.g., S3, Glue, Lambda) to manage and scale data engineering workloads. • Drive Best Practices: Establish and maintain data engineering standards, including code quality, data security, version control, and documentation. • Build & Maintain Data Models: Construct and support dimensional and normalized data models that support cross-functional use cases and reporting needs. • Automation & Monitoring: Set up robust pipeline orchestration (e.g., with Airflow, Databricks Jobs, or AWS Step Functions) and monitoring/alerting systems. • Collaborate Cross-Functionally: Work with data analysts, scientists, and business users to understand requirements and transform raw data into business-ready datasets.

🎯 Exigences

• 3+ years of experience as a Data Engineer or in a similar role • Strong hands-on experience with Databricks (Spark, Delta Lake) and Python-based ETL frameworks • Solid experience working with AWS cloud services for data processing and storage • Moderate-to-advanced proficiency in SQL for data wrangling, transformation, and performance tuning • Experience with data lake architectures, ELT/ETL development, and orchestration tools • Familiarity with software engineering best practices, including CI/CD, version control, and code reviews • Experience with Power BI or other BI tools (e.g., Tableau, Looker) to assist in data visualization or self-service reporting enablement.

🏖️ Avantages

• generous, flexible vacation policy • educational assistance • comprehensive health benefits • 401(k) employer match