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Description:
The company is focused on modernizing the collaboration between vendors and property managers through industry-specific vendor management and procurement software.
They connect over 6,000 buildings and 50,000 vendors in a single marketplace, improving efficiency and reducing costs for property managers while driving new business to vendors.
The role of Sr Data Engineer involves designing and developing scalable data pipelines and managing business intelligence tools.
Responsibilities include collaborating with stakeholders to understand requirements, implementing solutions to enhance data quality and accessibility, and driving analytical insights for decision-making.
The position offers opportunities to work on various projects, including optimizing pipelines and enhancing data security.
Requirements:
Candidates must have 3+ years of experience as an Analytics Engineer or Data Engineer.
A Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or a related field is required.
Proficiency in SQL and Python is necessary.
Experience with analytics data warehouses such as Redshift, Snowflake, or BigQuery is essential.
Candidates should be proficient in data pipeline and workflow management tools like dbt, AWS Glue, Fivetran, and Segment.
Familiarity with business intelligence tools, particularly Sigma and Heap, is a plus.
Strong problem-solving skills and the ability to learn new technologies are required.
Excellent verbal and written communication skills are essential.
Benefits:
The position offers the opportunity to work in a high-growth, dynamic environment.
A competitive compensation package is provided.
Comprehensive health benefits are included.
Remote work opportunities are available.
Employees receive 15 days of vacation plus paid wellness days.
The company promotes a real work/life balance.
Team events and a collaborative, tight-knit team culture are encouraged.
Ongoing learning and development opportunities are offered.