Senior Data Services Engineer, Strategic Projects
New
G
GrowthLoopAI-powered marketing
North AmericaFull-TimeSenior
Salary140000 - 150000 USD per year
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Job Details
- Experience
- 4–7 years
- Required Skills
- PythonSQLGCPMicrosoft Power BISnowflakeTableauAirflowBigQuerydbtRedshiftLooker
Requirements
- 4–7 years of experience as a Data Engineer or Analytics Engineer
- Strong proficiency in SQL
- Strong proficiency in Python
- Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
- Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery
- GCP Professional Data Engineer certification strongly preferred
- Track record of owning data projects end-to-end — from scoping and design through delivery — while coordinating the work of other team members
- Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases
- Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar)
- Solid understanding of relational databases and core data warehousing principles
- Strong analytical thinking and problem-solving abilities
- Self-starter who operates with autonomy and takes ownership of outcomes
Responsibilities
- Lead the ingestion of large volumes of data into cloud data warehouses, with a focus on performance, reliability, and scale
- Serve as the primary technical point of contact for a single enterprise client, building a deep understanding of their business needs, data landscape, and priorities
- Design and build scalable data models that support the client's analytical and operational goals, from initial design through delivery
- Drive end-to-end project execution, coordinating across workstreams and keeping stakeholders aligned on progress and decisions
- Identify and implement improvements to internal workflows and tooling that increase efficiency and repeatability across the engagement
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