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Intero Real Estate Services · 2 months ago

Sr Data Integration Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$153K/yr - $178K/yr

10+ years exp

Intero Real Estate Services is seeking a Sr. Data Integration Engineer to lead the design and implementation of scalable data solutions. The role focuses on developing a Customer Data Platform and associated API frameworks to enhance customer insights and enterprise-wide data integration.

Building MaterialE-CommerceReal EstateRetail

Responsibilities

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 associated automation in accordance with best practices and security standards throughout the development lifecycle

Design and implement a robust, scalable Customer Data Platform (CDP) to centralize and unify customer data from multiple sources (CRM, ERP, web, mobile, etc.)

Develop and maintain APIs and data pipelines to support real-time and batch data integration between the CDP and internal/external systems

Optimize and manage data environments, including data modeling, security practices, and Lakehouse performance

Monitor and optimize data flows and API performance to ensure high availability and low latency

Troubleshoot and resolve data-related issues, ensuring system reliability and efficiency

Collaborate with cross-functional teams including marketing, product, engineering, and business stakeholders to define data requirements and integration strategies

Communicate effectively with stakeholders, translating technical concepts into actionable insights

Implement data governance and privacy practices to ensure compliance with regulations (e.g., GDPR, CCPA)

Ensure data quality, governance, and compliance with internal policies and external regulations

Utilize Git version control and CI/CD pipelines to deploy and manage data workflows

Evaluate and recommend tools, platforms, and technologies to support the CDP and integration framework

Document architecture, data flows, and integration patterns to support maintainability and scalability

Perform other duties as requested or as needed to fulfill the purpose of the job

Qualification

RESTful APIsSQLPythonCloud platformsETL/ELT pipelinesData modelingData integration toolsData privacyCustomer Data PlatformsCloud-native toolsCI/CD pipelinesInfrastructure as CodeEvent-driven architecturesData warehousing

Required

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 (ADF, Glue, Cloud Data Fusion, dbt, 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, Informatica, etc

Strong proficiency in ETL/ELT pipelines and data modeling

Familiarity with event-driven architectures, message queues (ex., Kafka), and microservices

Strong understanding of data privacy and security best practices

Familiarity with CI/CD pipelines and Infrastructure as Code (IaC) tools (Bicep, Terraform, Pulumi, CloudFormation)