If you are passionate about data and have a strong technical background, we would love to hear from you
Job Title: Data Engineer
Location: San Francisco, California, United States
Job Type: Full-time
Salary: $171000 - $208000
Lobox is seeking a skilled and experienced Data Engineer to join our growing team. As a Data Engineer, you will play a vital role in our organization by designing, building, and maintaining our data infrastructure and systems. You will work closely with our data scientists and analysts to ensure that our data is accurate, reliable, and readily available for analysis and reporting.
Key Responsibilities:
- Design and implement scalable data pipelines to collect, process, and store large volumes of data from various sources
- Develop and maintain data models and schemas to support our data warehouse and data lake
- Collaborate with data scientists and analysts to understand their data needs and provide them with access to the data they require
- Monitor and troubleshoot data pipelines to ensure data quality, accuracy, and completeness
- Identify and implement improvements to optimize data processing and storage efficiency
- Work closely with cross-functional teams to define data requirements and ensure data consistency across systems
- Stay up-to-date with the latest data engineering trends and technologies and incorporate them into our data infrastructure
- Develop and maintain documentation for data pipelines, systems, and processes
- Provide technical support and guidance to other team members on data-related issues
- Participate in data governance and security initiatives to ensure data privacy and compliance
Qualifications:
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- years of experience in data engineering or a similar role
- Strong proficiency in SQL and experience with relational databases (e.g. MySQL, PostgreSQL)
- Experience with one or more programming languages for data engineering (e.g. Python, Java, Scala)
- In-depth knowledge of ETL processes, data modeling, and data warehousing principles
- Experience with cloud-based data platforms such as AWS, Azure, or GCP
- Familiarity with data pipeline orchestration tools (e.g. Airflow, Luigi, Apache NiFi)
- Working knowledge of data visualization tools (e.g. Tableau, Power BI)
- Strong problem-solving and analytical skills with a keen attention to detail
- Excellent communication and teamwork abilities
- Experience working in an Agile/Scrum environment is a plus
- Data engineering certifications (e.g. AWS Certified Big Data - Specialty, Google Professional Data Engineer) are a plus
Join our team and be a part of a dynamic and innovative organization that values creativity, collaboration, and continuous learning.