Data Engineer

Mesirow

• $125K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-5 years of experience in designing and deploying data pipelines in a cloud environment
  • Proficient in Python programming and PySpark
  • Hands-on experience with Databricks, including notebooks and Delta Lake
  • Experience with Azure Data Factory for orchestration
  • Familiarity with DevOps practices and CI/CD workflows
  • Strong problem-solving skills and self-starter attitude
  • Excellent communication skills for cross-functional collaboration

Responsibilities

  • Own the development of technical solutions to evolve data architecture and meet business needs
  • Develop and maintain ETL pipelines for data transformation and analysis
  • Enhance data pipeline infrastructure using cloud-native tools like Azure and Databricks
  • Collaborate with teams to ensure data reliability and consistency
  • Participate in agile practices, drive automation, and maintain infrastructure-as-code
  • Build data products with governance for reporting and analytics
  • Implement security principles, data governance, and data quality standards

Benefits

  • Opportunity to work in a high visibility, high growth area
  • Chance to enhance skills and build a career in data architecture
  • Immediate impact on firm operations and decision-making
  • Access to modern cloud technology and engineering practices
  • Supportive team environment with agile methodology
Full Job Description
The Opportunity

Mesirow 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


In accordance with the Illinois Pay Transparency Law, the anticipated hiring base salary for the role will be between $125,000and $140,000 per year. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, also provides the opportunity for a bonus and the Mesirow benefit program.

Similar Jobs

More Jobs at Mesirow

More Information Technology Jobs

Find similar Data Engineer jobs: