Enterprise Data Solutions Engineer

BakerHostetler Career; Cleveland (OH); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Competitive Salary

Performance Bonus Program

Generous Time Off

401(k) Retirement Plan

Health, Dental and Vision Insurance

Wellness Program

Life Insurance

Disability Insurance

Pre-Tax Benefit Programs

Job summary

BakerHostetler is seeking a Data Solutions Engineer to design and develop enterprise data solutions across the data lifecycle. You will collaborate with cross-functional teams to centralize transformations and create trusted data through the medallion architecture and master data management.

Responsibilities include building scalable data pipelines, integrating data across systems, and applying BI and analytics tools to support enterprise data strategy. Travel is minimal.

Qualifications

• Bachelor’s degree in Computer Science, IT, or related field.
• 5 years hands-on experience building data/software solutions.

Responsibilities

• Develop and implement data processing workflows and pipelines.
• Design scalable data solutions for data flow and integration.
• Work with Azure Data Lake, Synapse, Data Factory for large data sets.
• Maintain data storage using Azure SQL, PostgreSQL, and blob storage.
• Support data models and master data management across the data lake.
• Implement data quality, validation, and cleansing procedures.
• Leverage Microsoft Fabric for data engineering and analytics.
• Use Power Platform for data integration and automation.

Skills

Communication

Leadership

Project management

Time management

Attention to detail

Education

Bachelor’s degree in CS/IT

Tools

Azure Data Factory

Azure SQL Database

PostgreSQL

Azure Blob Storage

Azure Data Lake Storage

Azure Synapse Analytics

Databricks

Apache Spark

Apache Airflow

Azure Logic Apps

Azure DevOps

Power Automate

REST API

Azure OpenAI

Delta Lake

Microsoft Fabric

Power BI

Job description

BakerHostetler is seeking a Data Solutions Engineer to design and develop enterprise data solutions across the data lifecycle. You will collaborate with cross-functional teams to centralize transformations and create trusted data through the medallion architecture and master data management.

Responsibilities include building scalable data pipelines, integrating data across systems, and applying BI and analytics tools to support enterprise data strategy. Travel is minimal.