Senior Data Integration Engineer

Job not on LinkedIn

🔥 15 hours ago

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $153k - $178k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Long & Foster Companies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1968

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

<Long & Foster Companies> Long & Foster Companies is a full-service real estate brokerage and services firm operating in the Mid-Atlantic and Northeast United States. It provides residential buying, selling, and renting services along with complementary services such as mortgage, inspection, title insurance, moving, property management, home warranty, vacation rentals, and corporate relocation. The company also offers a private/ off-market listing portal, agent and office search, and community market insights to support clients throughout the entire transaction lifecycle.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

• 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)