Senior Data Engineer
Built Technologies- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 5 years of experience as a Data Engineer. Strong proficiency in Python and SQL is required, along with experience in cloud infrastructure, particularly AWS, including services such as Glue, Lambda, ECS Fargate. Experience building and maintaining data pipelines is essential, as is familiarity with tools like Airflow and dbt.
As a Senior Data Engineer, you will build scalable data solutions by designing, developing, and maintaining batch and real-time data pipelines within cloud infrastructure. You will empower internal teams by developing tools and frameworks to automate processes and support data-driven experiments. You will collaborate with data analysts, scientists, and product teams to extract actionable insights and accelerate business growth through efficient ETL/ELT pipelines. Furthermore, you will lead initiatives to research and propose new technologies for the data stack and participate in design and code reviews, ensuring data integrity and fostering a culture of continuous learning.
SaaS platform for home service management
Jobber provides software solutions tailored for home service businesses, helping them manage operations like quoting, scheduling, invoicing, and payment collection. The platform operates on a subscription model, allowing small to medium-sized businesses in industries such as cleaning, landscaping, plumbing, and HVAC to access its features for a recurring fee. Jobber simplifies the management process, making it easier for businesses to serve their customers. It includes a mobile app and offers unlimited one-on-one support, along with resources like salary reports to assist in hiring. Jobber's goal is to enhance the efficiency and effectiveness of home service businesses.