Data Engineer

Quartz Global Group; Sacramento (CA); On-site; USD 130,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Quartz Global Group in Sacramento, CA is seeking a Data Engineer to design, build, and maintain scalable data pipelines, ensuring data quality and availability for analytics and operations. You will collaborate with data scientists, software engineers, and product managers, optimize performance, and mentor junior teammates while contributing to the data infrastructure roadmap.

The role is full-time with a competitive salary range of $130,000 to $173,436 and benefits including health insurance

Qualifications

• Design, build, and maintain data pipelines for reliable data flow.
• Ensure data quality, integrity, and availability across systems.
• Optimize performance and cost of data processing.
• Mentor juniors and participate in code reviews.

Responsibilities

• Design, build, and maintain data pipelines.
• Collaborate with data scientists, software engineers, and product managers.
• Mentor junior team members and participate in code reviews.
• Present work to stakeholders and clients.
• Monitor and optimize data systems for performance and cost.
• Stay up-to-date with the latest data engineering technologies.

Skills

Problem solving

Attention to detail

Communication skills

Team collaboration

Independent work

Education

Bachelor's degree in CS/Engineering

Tools

Python

SQL

Hadoop

Spark

AWS

Google Cloud

Job description

Quartz Global Group, a prominent tech company, seeks a Data Engineer to join our team in Sacramento, CA. This full-time role offers a competitive salary range of $130,000 to $173,436.

In this role, you will be responsible for designing, developing, and maintaining data pipelines, which are systems that facilitate the flow of data from one point to another. Your primary task will involve ensuring the integrity and availability of data, which means that the data should be accurate, consistent, and accessible whenever needed. You will also be tasked with optimizing database performance, which involves improving the speed and efficiency of database operations. This could include tasks such as indexing, query optimization, and server tuning. Additionally, you will be responsible for troubleshooting data-related issues, which could involve identifying and resolving problems with data quality, data flow, or database performance. This role requires a strong understanding of data management principles, database technologies, and data processing techniques.

You’ll work closely with cross-functional teams in our Sacramento, CA office, collaborating on data projects and sharing your expertise in data engineering. This involves working with data scientists, software engineers, and product managers to understand their data needs and develop solutions that meet those requirements. You’ll be responsible for designing, building, and maintaining data pipelines, ensuring data quality and integrity, and optimizing data processing and storage. Your role will also include mentoring junior team members, participating in code reviews, and contributing to the continuous improvement of our data infrastructure. Additionally, you’ll have the opportunity to present your work to stakeholders and clients, demonstrating the value of your data engineering efforts.

The position includes a salary range of $130,000 to $173,436, along with comprehensive benefits. We offer health insurance, retirement plans, and professional development opportunities.

You should have a Bachelor's degree in Computer Science, Engineering, or a related field. Experience with data modeling, ETL processes, and database management is essential.

• Design, build, and maintain efficient, reusable, and reliable data infrastructure to support our business operations.
• Develop and implement data pipelines and workflows to extract, transform, and load data from various sources.
• Ensure the performance, quality, and scalability of our data systems and processes.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Monitor and optimize data systems to improve performance and reduce costs.
• Stay up-to-date with the latest data engineering technologies and trends.
• Troubleshoot and resolve data-related issues, ensuring minimal downtime and maximum data availability.
• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
• Experience with data engineering tools and technologies, such as Python, SQL, and big data platforms like Hadoop or Spark.
• Solid understanding of data modeling and database design principles.
• Experience with cloud platforms, such as AWS or Google Cloud, is a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work independently and in a fast-paced environment.