Senior Data Engineer (6+ month contract)

Jobot; Dallas (TX); Remote; USD 80,000 - 100,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer for a long-term contract role that offers 100% remote work. This exciting opportunity requires a minimum of 4 years of experience in data engineering, with a strong focus on dbt, BigQuery, and MLOps. The ideal candidate will join a collaborative team, leveraging their skills to develop and implement robust data solutions. Enjoy full benefits, including medical, dental, and vision coverage, as well as a company laptop and a supportive work environment that values diversity and inclusion. If you're ready to take your career to the next level, this role is for you!

Benefits

Company laptop/systems

Medical/Dental/Vision (BCBS)

401k

Sick leave

Flexible work hours

Qualifications

• 4+ years of experience in data engineering.
• Proficiency in dbt for data transformation and model definition.

Responsibilities

• Develop and implement data engineering solutions using dbt and BigQuery.
• Deploy machine learning models and ensure data integrity.

Skills

Data Engineering

dbt

Google BigQuery

MLOps

SQL

Python

Problem-Solving

Communication

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Airflow

Google Cloud Platform (GCP)

Looker Studio

Job description

This range is provided by Jobot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $85.00/hr

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Job details

Senior level Data Engineer needed for 12+ month contract! 100% remote!

This Jobot Job is hosted by Christine McNamara.

Are you a fit? Easy Apply now by clicking the "Easy Apply" button and sending us your resume.

Salary $65 - $85 per hour

A Bit About Us

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have a minimum of 4 years of experience in data engineering and a strong background in using dbt, BigQuery, and MLOps. Additionally, the candidate should have extensive experience in core model definition.

This is a long-term contract role that also offers full benefits.

Why join us?

• 100% remote work
• Company laptop/systems
• Medical/Dental/Vision (BCBS)
• 401k
• Sick leave
• and much more!

Job Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in data engineering.
• Proficiency in dbt (data build tool) for data transformation.
• Extensive experience with Google BigQuery and Airflow.
• Strong understanding of MLOps and experience in deploying machine learning models.
• Proven experience in core model definition and implementation.
• Proficiency in SQL and Python.
• Experience with cloud platforms such as Google Cloud Platform (GCP).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Looker Studio.
• Knowledge of data warehousing concepts and best practices.
• Familiarity with CI/CD pipelines and version control systems.

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.

Want to learn more about this role and Jobot?

Click our Jobot logo and follow our LinkedIn page!