Data Engineer

GetJobSmart; Houston (TX); In loco; USD 120.000 - 179.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health insurance

Retirement plans

401(k) or pension

Tuition reimbursement

Professional development

Descrizione del lavoro

Pinnacle Valley Group in Houston, TX, seeks a Data Engineer for full-time employment. You will design, build, and maintain data pipelines, develop ETL processes, and ensure data quality and integrity.

You will also create and manage databases, and develop data models. You will collaborate closely with the data team located in Houston, Texas, where the atmosphere is dynamic and encourages continuous learning and development.

Competenze

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience with data engineering, building data pipelines, and ETL processes.
• Strong programming skills in Python and SQL; experience with data warehousing tools and big data technologies.

Mansioni

• Design, develop, and maintain data pipelines to support business operations.
• Ensure the accuracy and reliability of data systems.
• Optimize data storage and processing for performance and efficiency.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Implement data security measures to protect sensitive information.
• Monitor and maintain data quality and integrity.
• Stay up-to-date with emerging data technologies and trends.

Conoscenze

Python

SQL

ETL processes

Data pipelines

Data quality

Formazione

Bachelor's degree in Computer Science, Information Technology, or related field

Strumenti

AWS Redshift

Google BigQuery

Azure Synapse

Descrizione del lavoro

Pinnacle Valley Group, a leading energy company in Houston, TX, seeks a Data Engineer for full-time employment. Salary ranges from $120,000 to $178,640.

You will design, build, and maintain data pipelines, develop and optimize ETL processes, and ensure data quality and integrity. You will also create and manage databases, and develop data models.

You will collaborate closely with the data team located in Houston, Texas, where the atmosphere is dynamic and encourages continuous learning and development. The environment is characterized by open communication and teamwork, with regular opportunities for professional growth and skill enhancement. The workplace values innovation and creativity, providing a supportive and engaging space for employees to thrive.

The annual salary range for this position is between $120,000 and $178,640, providing a competitive compensation package. Employees can also benefit from comprehensive health insurance plans, including medical, dental, and vision coverage. Retirement plans are offered, with options such as a 401(k) or pension scheme, depending on the employer's policies. Additionally, professional development opportunities are available, which may include tuition reimbursement, workshops, or access to online learning platforms. These benefits aim to support the overall well-being and career growth of the employees.

You need a bachelor's degree in Computer Science, Data Science, or a related field. Experience with SQL, Python, and big data technologies is required. Knowledge of cloud platforms like AWS or Azure is preferred.

Duties

• Design, develop, and maintain data pipelines to support our business operations.


• Ensure the accuracy and reliability of our data systems.


• Optimize data storage and processing to improve performance and efficiency.


• Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.


• Implement data security measures to protect sensitive information.


• Monitor and maintain data quality and integrity.


• Stay up-to-date with emerging technologies and industry trends.

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field.


• Proven experience as a Data Engineer or similar role, preferably in the energy industry.


• Strong programming skills in Python, SQL, and other relevant languages.


• Experience with data warehousing tools like AWS Redshift, Google BigQuery, or Azure Synapse.


• Familiarity with ETL processes and data integration tools.


• Excellent problem-solving and analytical skills.


• Strong communication and teamwork abilities.