Principal Data Engineer #26-27059

Us Tech Solutions; Alhambra (CA); À distance; USD 152 000 - 154 000; Plein temps

Résumé du poste

US Tech Solutions in Alhambra, CA is seeking a Principal Data Engineer to design, implement, and manage the data infrastructure, focusing on data integration, quality, operations, and governance to sustain a scalable analytical environment.

The ideal candidate has 5+ years in Databricks with data warehousing, strong Python skills, and Azure Data Resources experience, along with mentoring and collaboration capabilities to guide junior engineers.

Qualifications

• Five+ years of data engineering experience with Databricks and data warehousing.
• Strong Python development skills and cloud data workflows.
• Experience in data governance, quality, and operations.

Responsabilités

• Design and implement robust data infrastructure for analytics.
• Develop and optimize data pipelines and ETL processes.
• Foster data governance and data quality across platforms.
• Mentor junior engineers and data engineers.

Connaissances

Communication skills

Analytical thinking

Time management

Collaboration

Mentoring

Formation

Bachelor’s in Computer Science or Data Engineering

Outils

Databricks

Python

Azure Resources

DataOps

Description du poste

$110-$112 per hour

Alhambra, CA

Contract

Duration: 12 Months

Schedule: 07:15 AM – 06:00 PM ( 4-day work week, 10-hour day)

Job Description:

Position Description:

• A Principal Data Engineer is responsible for designing, implementing, and managing the data infrastructure of an organization. The position provides specialized technical expertise in data integration, data quality, data operations, data platform architecture, and data governance to ensure a reliable, scalable, and well-managed analytical environment.

Skills Required:

• Excellent verbal and written communication skills; customer service orientation

• Strong analytical & business acumen; Excellent time management and organization abilities; with a proven capacity to handle multiple tasks simultaneously

• Highly collaborative, yet capable of working independently with focus and self-direction on projects; Meticulous and dedicated to delivering high-quality work

• Effective mentor, providing guidance and support to junior data engineers and database administrators.

Additional Experience Required:

• Five (5) + years of professional work experience specializing in Databricks with significant expertise in data engineering, data integration, data warehousing, and cloud computing.

• Five (5) years of experience in developing data pipelines using Python.

• Three (3) + years of experience in designing and developing Databricks medallion Lakehouse architecture, applying data governance, and data quality best practices.

• One (1) year of experience in developing data models.

• One (1) year of experience in Managing Azure Resources.

• One (1) year of experience in automating Azure Data Resources using DataOps.

Education Required:

• This classification requires the possession of a Bachelor’s in Computer Science, Data Engineering, or related field.

• Additional qualifying experience may be substituted for the required education on a year-for-year basis.

Additional Information:

• California Resident Candidates Only. Work is expected to be mostly REMOTE, and interviews will be conducted via Microsoft TEAMS.

• Work schedule will be 4/40, 10-hour day within the M-TH work schedule at the discretion of the program manager. Work shift ranges from 7:15am to 6:00pm.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement:

By applying, you acknowledge that AI-assisted tools may be used during hiring.