Senior Data Engineer

🕒 Maio 19

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $69.400 - $99.200 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

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Gainwell Technologies

SiteLinkedInTodas as Vagas

10.000+ funcionários

⚕️ Seguro de Saúde

💰 Grant em 2023-06

Healthcare Insurance • Human Services • Healthcare

A Gainwell Technologies é a principal provedora do país de soluções digitais e cloud-enabled em todo o ecossistema de serviços humanos e saúde pública. Com uma abordagem orientada por propósito, a Gainwell atende clientes nos 50 estados dos EUA, com foco em melhorar os desfechos em saúde e oferecer experiências intuitivas e centradas nas pessoas. Seu portfólio abrangente inclui modernização do Medicaid Enterprise, data analytics, serviços para prestadores e soluções para farmácia — tudo projetado para impulsionar o futuro da saúde e promover o bem-estar das comunidades.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

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