Data Engineer

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

We are seeking a Data Engineer to support enterprise data integration, scalable data pipelines, and data management initiatives across Construction Operations and corporate functions. This role will partner with IT, Finance, PMO, and Operations teams to transform data from ERP/MRP platforms, project management systems, financial applications, and other business technologies into reliable datasets for reporting, analytics, forecasting, and decision-making.

This is a full-time, fully onsite position based in Dallas, TX.

COMP: Up to $140K, depending on the candidate's experience, etc.

WHAT OUR CLIENT OFFERS:

• Health Care Plan (3 types of Medical plans, Discounted Dental & Orthodontist services for adults & children, Premium Vision Plan)
• Retirement Plan (Traditional 401k, Roth 401K)
• $50k Life Insurance (Basic, Voluntary, & AD&D)
• Family Leave FMLA (Maternity & Paternity)
• Short & Long-Term Disability
• Pet Insurance
• Pharmacy discounts & more!

WHAT YOU'LL DO:

• Design and maintain data pipelines integrating 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 Construction Operations, Finance, HR, and leadership to translate business needs into data solutions and support reporting and analytics

WHAT YOU'LL BRING:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
• 3-5 years of experience in data engineering, data integration, or data platform development
• Proficiency in SQL and Python
• Experience developing ETL/ELT pipelines, integrating APIs and relational databases
• Experience with Microsoft Fabric, Azure data services, or similar
• Knowledge of data modeling and scalable data structures for analytics, reporting, and BI
• Experience with Git and CI/CD practices
• Experience implementing Medallion Architecture (Bronze, Silver, Gold)
• Experience developing and maintaining Power BI semantic models, reports, and dashboards
• Knowledge of dimensional modeling, star schemas, and semantic layer development
• Experience integrating enterprise systems, APIs, databases, and third-party applications