Sr Data Integration Engineer

HomeServices of America; Eden Prairie (MN); On-site; USD 153,000 - 178,000; Full time

Benefits offered by this job

Medical

Health Savings Account

Dental

Vision

Life Insurance

Paid Vacation (PTO)

401(k) with employer match

Flexible Spending Account

Employee Assistance Program (EAP)

Equal Opportunity Employer

Job summary

HomeServices of America in Eden Prairie, MN, seeks a Sr. Data Integration Engineer to lead the design, development, and implementation of scalable data solutions, including a Customer Data Platform (CDP) and API frameworks that unify data across systems.

You will build data pipelines, APIs, and governance practices, collaborate with stakeholders from marketing, product, and engineering, and ensure high performance, security, and reliable data flows in a cloud-based environment.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or related field.
• 10+ years of RESTful API experience.
• 10+ years of SQL, Python, or PowerShell experience.
• 5+ years on Azure, AWS, or GCP cloud platforms.
• 5+ years using cloud-native tools (ADF, Glue, Cloud Data Fusion, dbt, Airflow).
• Experience with CDP like Segment, Salesforce CDP, Adobe Experience Platform, or custom solutions.
• Experience with data integration tools such as NiFi, Talend, Informatica, etc.
• Knowledge of data governance, privacy, and security best practices.

Responsibilities

• Lead design, development, and implementation of scalable data solutions.
• Build and maintain a robust Customer Data Platform (CDP).
• Develop and maintain APIs and data pipelines for real-time and batch integration.
• Optimize data environments, data modeling, and Lakehouse performance.
• Collaborate with marketing, product, engineering, and business stakeholders.
• Implement data governance and privacy practices to ensure compliance.
• Utilize Git and CI/CD pipelines to deploy data workflows.

Skills

ETL/ELT pipelines

Data modeling

Event-driven architecture

Kafka

CI/CD

Infrastructure as Code

Snowflake

BigQuery

Databricks

RESTful APIs

SQL

Python

PowerShell

Azure/AWS/GCP

NiFi

Talend

Informatica

Airflow

Education

Bachelor’s or Master’s degree

Tools

Apache NiFi

Talend

Informatica

Airflow

ADF

Glue

Cloud Data Fusion

dbt

Job description

The Sr. Data Integration Engineer will lead the design, development, and implementation of scalable data solutions, including a Customer Data Platform (CDP) and associated API frameworks. This role is critical in building a unified, secure, and high-performing data ecosystem that supports customer insights, personalization, analytics, and enterprise-wide data integration.

(Essential Job Functions) Common job activities are listed below; actual position responsibilities may vary. Refer to your manager or human resources for specific duties and performance expectations.

Job Duties and Responsibilities

• Data Engineering & Integration
• 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.
• Optimization & Performance
• 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.
• Collaboration & Communication
• 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.
• Governance & Compliance
• 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.
• Tools & Automation
• 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.

Performance Expectations

• Meet all performance and behavior expectations outlined in the company performance appraisal form or communicated by management.
• Perform responsibilities as directed achieving desired results within expected time frames and with a high degree of quality and professionalism.
• Establish and maintain positive and productive work relationships with all staff, customers and business partners.
• Demonstrate the behavioral and technical competencies necessary to effectively complete job responsibilities. Take personal initiative for technical and professional development.
• Follow the company HR Policy, the Code of Business Conduct and all subsidiary and department policies and procedures, including protecting confidential company information, attending work punctually and regularly, and following good safety practices in all activities.

Qualifications

Education:

• Bachelor’s or Master’s degree in computer science, engineering, or related field.

Experience

• 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, ect.
• 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.
• Experience with identity resolution, customer segmentation, and real-time personalization use cases preferred.

Knowledge And Skills

• 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)
• Knowledge of data warehousing and analytics platforms (ex. Snowflake, BigQuery, Databricks) preferred.

Wage:

$153,000 - $178,000 annually; actual wage is based upon education and experience. Potential for annual discretionary bonus.

Benefits:

Full suite of benefits including Medical, Health Savings Account, Dental, Vision, Life Insurance, Paid Vacation (PTO), 401(k) with employer match, Flexible Spending Account, and Employee Assistance Program (EAP)

Equal Opportunity Employer