Data Engineer: Enterprise Pipelines & Analytics (Dallas)

Business Centric Technology; Dallas (TX); On-site; USD 126,000 - 154,000; Full time

Benefits offered by this job

Health care plan

Retirement plan

Life insurance

Family leave (FMLA)

Disability insurance

Pet insurance

Job summary

Business Centric Technology in Dallas, TX seeks a Data Engineer to design and maintain data pipelines across ERP/MRP, project management, scheduling, field mobility, and financial systems to enable reporting, analytics, forecasting and decision-making.

The role collaborates with IT, Finance, PMO and Operations to transform data into reliable datasets and supports data models, governance and BI solutions leveraging Power BI and Azure data services.

Qualifications

• Bachelor's degree in CS/Engineering/IS or related field.
• 3-5 years of data engineering experience.
• Strong SQL and Python skills.
• Experience with ETL/ELT pipelines and APIs.

Responsibilities

• Design and maintain data pipelines across ERP/MRP, project management, scheduling, field mobility, and financial systems.
• Support system implementations & upgrades by developing data integrations, APIs, automation & reusable pipelines.
• Build and optimize data models and datasets while monitoring performance, troubleshooting issues, and documenting data processes.
• Improve data quality, consistency, and governance through validation, reconciliation, and master data management initiatives.
• Partner with Operations, Finance, HR, and leadership to translate business needs into data solutions and support reporting and analytics.

Skills

SQL

Python

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Git

CI/CD

Medallion Architecture

Power BI

Job description

Business Centric Technology in Dallas, TX seeks a Data Engineer to design and maintain data pipelines across ERP/MRP, project management, scheduling, field mobility, and financial systems to enable reporting, analytics, forecasting and decision-making.

The role collaborates with IT, Finance, PMO and Operations to transform data into reliable datasets and supports data models, governance and BI solutions leveraging Power BI and Azure data services.