Sr Data Integration Engineer

Shared Success Center; Eden Prairie (MN); On-site; USD 156,000 - 182,000; Full time

Benefits offered by this job

Medical insurance

Health Savings Account

Dental

Vision

Life Insurance

Paid Vacation (PTO)

401(k) with employer match

Flexible Spending Account

Employee Assistance Program (EAP)

Job summary

Ultipro in Eden Prairie, MN is seeking a Sr. Data Integration Engineer to design and lead scalable data solutions, including a CDP and API frameworks.

You will build data pipelines with Python, integrate multiple systems, and ensure secure, high-performance data flows. You will collaborate with stakeholders across marketing, product, and engineering to define data requirements, apply governance best practices, and optimize Lakehouse environments.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or related field.
• 10+ years of experience with RESTful APIs and data integration.
• Proven experience building or integrating with Customer Data Platforms (CDP).
• Experience with cloud platforms and data tooling (Azure, AWS, GCP, Snowflake, Databricks).

Responsibilities

• Design, develop, and implement scalable data pipelines and CDP architecture.
• Build and maintain APIs and data integrations across systems.
• Ensure security, governance, and compliance across data platforms.
• Collaborate with stakeholders to translate data requirements into solutions.
• Monitor performance and optimize data flows and API latency.

Skills

RESTful APIs

SQL

Python

Data modeling

ETL/ELT

CDP knowledge

Stakeholder communication

Education

Bachelor’s or Master’s in CS/Engineering

Tools

Azure

AWS

GCP

ADF

Glue

Cloud Data Fusion

dbt

Airflow

NiFi

Talend

Informatica

Kafka

Snowflake

BigQuery

Databricks

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.

Job Duties and Responsibilities

(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.

• 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.

2. 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.
• 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.

4. 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.

5. 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.

6. 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:

$156,100 - $181,800 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

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.