Senior Data Integration Engineer

Emploi pas sur LinkedIn

🕒 il y a 8 jours

❄️ Minnesota – Distant

❄️ Minnesota – Remote

💵 $153 000 - $178 000 / an

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Long & Foster Companies

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1968

🛡️ Assurance

📦 Logistique

💼 Conseil

Insurance • Logistics • Consulting

Long & Foster Companies est une société de courtage immobilier et de services à service complet opérant dans le Mid-Atlantic et le nord-est des États-Unis. Elle propose des services d'achat, de vente et de location résidentiels ainsi que des services complémentaires tels que le crédit immobilier, inspection, assurance titre, déménagement, gestion immobilière, garantie habitation, locations de vacances et relocalisation d'entreprise. La société offre également un portail de listings privés/hors marché, une recherche d'agents et de bureaux, et des analyses de marché communautaires pour accompagner les clients tout au long du cycle de transaction.

Description

• Lead the design, development, and implementation of scalable data solutions, including a Customer Data Platform (CDP) and associated API frameworks • Develop and maintain scalable data pipelines and workflows using Python and modern data tools • Build and maintain production-grade data integrations across internal and third-party systems • Code, test, deploy, orchestrate, monitor, document, and troubleshoot cloud-based data engineering processes and automation • Design and implement a scalable CDP to centralize and unify customer data from CRM, ERP, web, mobile, and other sources • Develop and maintain APIs and data pipelines supporting real-time and batch integration between the CDP and internal/external systems • Optimize data environments, including data modeling, security practices, and Lakehouse performance • Monitor and optimize data flows and API performance for high availability and low latency • Troubleshoot and resolve data-related issues to ensure system reliability and efficiency • Collaborate with marketing, product, engineering, and business stakeholders to define data requirements and integration strategies • Translate technical concepts into actionable insights • Implement data governance and privacy practices for GDPR, CCPA, and other regulatory compliance • Ensure data quality, governance, and compliance with internal policies and external regulations • Use Git version control and CI/CD pipelines to deploy and manage data workflows • Evaluate and recommend tools, platforms, and technologies supporting the CDP and integration framework • Document architecture, data flows, and integration patterns • Perform other duties as requested or needed

🎯 Exigences

• Bachelor’s or Master’s degree in computer science, engineering, or related field • 10+ years of experience with RESTful APIs • 10+ years of experience with SQL, Python, or PowerShell • 5+ years of experience with cloud platforms such as Azure, AWS, GCP, etc. • 5+ years of experience with cloud-native tools such as ADF, Glue, Cloud Data Fusion, dbt, or Airflow • Proven experience building or integrating with Customer Data Platforms such as Segment, Salesforce CDP, Adobe Experience Platform, or custom-built solutions • Experience with data integration tools such as Apache NiFi, Talend, or Informatica • Experience with identity resolution, customer segmentation, and real-time personalization use cases preferred • Strong proficiency in ETL/ELT pipelines and data modeling • Familiarity with event-driven architectures, message queues such as Kafka, and microservices • Strong understanding of data privacy and security best practices • Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools such as Bicep, Terraform, Pulumi, or CloudFormation • Knowledge of data warehousing and analytics platforms such as Snowflake, BigQuery, or Databricks preferred

🏖️ Avantages

• Potential for annual discretionary bonus • Medical benefits • Health Savings Account (HSA) • Dental insurance • Vision insurance • Life insurance • Paid Vacation (PTO) • 401(k) with employer match • Flexible Spending Account (FSA) • Employee Assistance Program (EAP)