Data Engineer II (Python/Spark)

Location: Milwaukee, WI Corporate

Salary: $89,360–$134,040 USD annually. Geographic-specific ranges may apply, including $98,320–$147,480 USD and $102,800–$154,200 USD.

Company

hirify.global is a financial services company focused on client-centered products and business operations.

What you will do

• Design, implement, and maintain ELT pipelines and transformations using Python, PySpark, and SQL.
• Build and support scalable data engineering solutions for analytics, reporting, and operational decision-making.
• Own production reliability by monitoring SLAs, responding to incidents, reducing MTTR, and troubleshooting root causes.
• Orchestrate batch and streaming workflows with Airflow, Control-M, Kafka, Kinesis, or equivalent tools.
• Implement CI/CD automation, data quality checks, observability, auditing, testing, and schema-change handling.
• Collaborate with stakeholders, participate in technical design and code reviews, document solutions, and mentor junior engineers.

Requirements

• 2–5 years of professional experience in data engineering or software engineering with production systems.
• Strong Python skills and experience with distributed processing using PySpark or Scala and Spark.
• Solid SQL skills and experience with a cloud data platform such as Snowflake or Databricks.
• Experience with Power BI datasets and reports, data modeling, dataset refresh troubleshooting, and performance issues.
• Experience with orchestration tools, CI/CD pipelines, event streaming, Git, DevOps practices, and production troubleshooting.
• Ability to communicate technical solutions, work independently, and develop understanding of one to three data domains.

Nice to have

• Familiarity with Databricks ELT architecture, Delta Lake, Jobs/Workflows, Delta Live Tables, and Declarative Automation Bundles.
• Experience with Terraform, Kubernetes, Docker, or other infrastructure-as-code and container tooling.
• Experience with Grafana, Dynatrace, data quality frameworks such as DQX or Deequ, and data governance tools.
• Domain knowledge outside the Field domain, such as Client or Product data.

Culture & Benefits

• Full-time employment with a focus on reliable, scalable, and continuously improving data solutions.
• Collaboration with business and technology stakeholders across the organization.
• Equal opportunity environment welcoming diverse backgrounds and creative ideas.
• Compensation transparency with geographic-specific pay structures for eligible locations.