Data Engineer - Mondo Staffing : Job Details

Job Title: Data Engineer Location-Type: Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $125-140 K Job Description: \n

\n
• Create data pipelines that make data available for analytic and application use cases
\n
• Develop self-healing, resilient processes that do not require constant care and feeding to run smoothly
\n
• Create meaningful data quality notifications with clear actions for interested parties including other internal teams and other members of the data and analytics team
\n
• Lead projects from a technical standpoint, creating project Technical Design Documents
\n
• Support data analysts and analytics engineers ability to meet the needs of the organization
\n
• Participate in code reviews, understanding coding standards, ensuring test coverage and being aware of best practices
\n
• Build or implement tooling around data quality, governance and lineage, in the dbt framework and Snowflake but external to that as needed
\n
• Provide next level support when data issues are discovered and communicated by the data analysts
\n
• Work with data analysts and analytics engineers to standardize transformation logic in the dbt layer for consistency and ease of exploration by end users
\n
• Enable analytics engineers and data analysts by providing data modeling guidance, query optimization and aggregation advice
\n

\n Requirements: \n

\n
• 3 years of experience in a data engineering role
\n
• Strong Python skills (Understands tradeoffs, optimization, etc)
\n
• Strong SQL skills (CTEs, window functions, optimization)
\n
• Experience working in cloud environments (AWS preferred, GCS, Azure)
\n
• An understanding of how to best structure data to enable internal and external facing analytics
\n
• Familiarity with calling APIs to retrieve data (Authentication flows, filters, limits, pagination)
\n
• Experience working with DevOps to deploy, scale and monitor data infrastructure
\n
• Scheduler experience either traditional or DAG based
\n
• Comfortable working with multi-TB cloud data warehouses (Snowflake preferred, Redshift, Big Query)
\n
• Experience with other DBMS systems (Postgres in particular)
\n
• Ability to travel up to approx 15%
\n

\n Nice to haves: \n

\n
• Experience with web analysis such as creating data structure that support product funnels, user behavior, and decision path analysis
\n
• Understanding of Snowflake external stages, file formats and snowpipe
\n
• Experience with orchestration tools particularly across different technologies and stacks
\n
• Experience with dbt
\n
• Knowledge of Ad Tech, Google Ad Manager and all of it's fun quirks (so fun)
\n
• The ability to make your teammates laugh (it wouldn't hurt if you were fun to work with is what I'm saying)
\n
• Familiarity with event tracking systems (NewRelic, Snowplow, etc)
\n
• Experience with one or more major BI tools (Domo, Looker, PowerBI, etc.)
\n