For further inquiries about this opportunity, please contact our Talent Specialist, Abdulkhader at 224-507-1295.
Title: Data Engineer
Location: Chicago, IL
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.
Job Description:
The Opportunity
Client is looking for a partner to support and modernize our data architecture with the vision of establishing a modern data estate. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career. Your work will have immediate, tangible impact: the pipelines you develop will move the data that powers the firm's daily operations, reporting and decision making. You will help migrate legacy processes to a cloud-native platform built on Azure, Databricks and modern engineering practices, while helping shape the target future state architecture.
Responsibilities:
- Own technical solutions that evolve our data architecture/integration patterns while also solving for changing business needs
- Develop and maintain ETL pipelines to transform raw data into usable formats for data analysis, reporting and a centralized data repository
- Evolve our data pipeline infrastructure using cloud native tools such as Azure Data Factory, Databricks or similar toolsets.
- Collaborate with other data stewards, product and business team members to ensure that our data is accurate, reliable, and consistent
- Participate in an agile team dynamic; own testing through test automation, drive DevOps capabilities and infrastructure-as-code practices to create repeatable and controlled deployments across environments.
- Build trusted, well-governed data products that can support reporting, analytics, automation, and emerging AI use cases.
- Apply security-by-design principles, including least-privilege access, secrets management, encryption, data classification, and appropriate protection of sensitive data
- Partner with data owners and stewards to implement data quality, classification, lineage, access controls, and governance standards across the data platform
Requirements:
- 2-5 years of experience in designing, developing, and deploying data pipelines and modern cloud data solutions.
- Strong proficiency in Python programming and PySpark
- Hands-on experience with Databricks (notebooks, jobs, Delta Lake) and Unity Catalog
- Experience building and operating orchestration pipelines with Azure Data Factory (ADF)
- DevOps experience, Git-based workflows and CI/CD
- Self-starter with strong ownership, problem-solving skills, and the ability to manage multiple priorities in a fast-moving environment.
- Strong communication and collaboration skills, with the ability to translate business requirements into practical data solutions and work effectively with both technical and non-technical stakeholders
Nice to Have:
- Experience working with Salesforce data.
- SQL experience (complex queries, tuning, data modeling) a plus
- Experience working in an Azure environment
About us:
DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.