Sr Data Engineer(only w2, onsite, need to be local)

CBTS; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology consulting firm in Texas is seeking a Sr Data Engineer to manage data engineering processes and lead a high-performing team. Ideal candidates should have a strong foundation in Python and SQL, with a minimum of 6 years of relevant experience, including data modeling. Knowledge of cloud platforms, ETL processes, and data visualization tools is essential. The role offers a contract employment type and requires good communication skills to effectively engage both technical and non-technical stakeholders.

Qualifications

• Minimum 6 years of experience in data engineering with at least 2 years in data modeling.
• Deep understanding of data engineering fundamentals, including database architecture and design.
• Proven ability to lead a team of engineers.

Responsibilities

• Manage and develop data engineering processes.
• Foster a collaborative high-performing team environment.
• Communicate effectively with technical and non-technical audiences.

Skills

Data modeling

Python

SQL

Cloud platforms

ETL processes

Data orchestration tools

Data visualization tools

Team leadership

Communication skills

Education

Bachelor s degree in Computer Science or related field

Tools

Airflow

Spark

Databricks

Tableau

Power BI

Job description

Sr Data Engineer (W2, Onsite, Local)

Job Description:

• Bachelor s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.

Additional Skills and Other Requirements

Nice to have skill set include:

• Power BI

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Information Technology, Consulting, and Business Development

Industries

Retail, Food and Beverage Services, and Food and Beverage Manufacturing