Data Engineer

GetJobSmart; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance (medical, dental, and

401(k) plan

Professional development opportunities

Job summary

Onyx Central Solutions in San Jose, CA, is hiring a Data Engineer to design and maintain data pipelines that enable data-driven decision making and support data scientists in their analyses. The role emphasizes data accuracy, accessibility, and scalable architecture in a fintech environment.

The ideal candidate holds a Bachelor's degree in Computer Science or related field with 3-5 years of data engineering experience, strong SQL and Python skills, and hands-on experience with cloud platforms

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3-5 years of experience in data engineering.
• Experience with data modeling and ETL processes.
• Proficiency in SQL and Python.
• Knowledge of cloud platforms like AWS, GCP, or Azure.
• Familiarity with big data technologies such as Hadoop, Spark, or Hive.

Responsibilities

• Design, build, and maintain data pipelines to ensure data integrity and availability.
• Collaborate with data scientists to support data analysis needs.
• Monitor and optimize data pipelines for performance and reliability.
• Work with other teams to understand data requirements and deliver solutions.
• Stay up-to-date with data engineering technologies and trends.
• Mentor and train junior team members on best practices.

Skills

SQL

Python

Data warehousing

ETL

Education

Bachelor's degree in Computer Science or related field

Tools

Cloud platforms (AWS, GCP, Azure)

Big data (Hadoop, Spark, Hive)

Job description

Onyx Central Solutions, a fintech company, seeks a Data Engineer in San Jose, CA, for a full-time role. This position involves utilizing data to inform business strategies and enhance services.

You will design, construct, and sustain data pipelines, ensuring data accuracy and accessibility. Collaborate with data scientists to facilitate their data analysis needs.

Working with a team in San Jose, California, you'll be part of a dynamic environment that thrives on data-driven solutions. This means you'll have the opportunity to work closely with your colleagues to analyze and interpret data, using it to inform and improve your projects. The city's vibrant tech scene and proximity to Silicon Valley provide a rich context for your work, offering opportunities to learn from industry leaders and innovators. You'll be encouraged to think critically and creatively, applying your skills to solve complex problems and drive meaningful outcomes. The team's collaborative spirit and shared commitment to excellence will foster a supportive and inspiring work environment.

The compensation package for this position ranges from $140,000 to $190,021, providing a competitive salary that reflects the responsibilities and expertise required. In addition to the base salary, employees are offered comprehensive health insurance plans that cover medical, dental, and vision care, ensuring their well-being and that of their families. The company also provides robust retirement plans, including 401(k) contributions, to help employees save and plan for their financial future. Furthermore, professional development opportunities are available, allowing employees to enhance their skills and advance their careers within the organization. These benefits collectively contribute to a well-rounded compensation package that supports both the employee's personal and professional growth.

You should have a degree in Computer Science or related field, experience with data modeling and ETL processes, proficiency in SQL and Python, and knowledge of cloud platforms like AWS or GCP.

Job Responsibilities:

• Design, build, and maintain data pipelines to ensure the integrity and availability of our data.
• Work with data scientists to help them access and analyze the data they need to perform their work.
• Monitor and optimize data pipelines to ensure they are running efficiently and effectively.
• Collaborate with other teams to understand their data needs and ensure they are met.
• Stay up-to-date with the latest data engineering technologies and trends.
• Mentor and train junior team members on data engineering best practices.

Job Requirements:

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 3-5 years of experience in data engineering, with a strong background in SQL, Python, and data warehousing.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with big data technologies such as Hadoop, Spark, or Hive.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills, both written and verbal.