

KPG99 INC
Data Engineer -BigQuery (GoodData/Metabase)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer specializing in BigQuery and dbt, requiring 6+ years of data engineering experience, strong SQL skills, and expertise in ELT/ETL pipelines. Remote work is available, but candidates must reside in the PST time zone.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
July 25, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
California, United States
-
π§ - Skills detailed
#dbt (data build tool) #Data Engineering #Monitoring #"ETL (Extract #Transform #Load)" #BigQuery #Data Modeling #Data Quality #Fivetran #SQL (Structured Query Language) #Data Accuracy #Customer Segmentation #BI (Business Intelligence)
Role description
Role: Sr Data Engineer role
Location Remote- MUST live in PST time zone.
Visa USC and GC
Must Haves:
β’ 6+ years of experience in Data Engineering with strong ownership of production data platforms and pipelines.
β’ MUST HAVE hands-on experience with Google BigQuery for data warehousing, modeling, optimization, and analytics.
β’ Strong experience using dbt to build, maintain, and scale data transformation frameworks.
β’ Expert-level SQL skills and deep understanding of data modeling, dimensional modeling, and warehouse design.
β’ Experience building and maintaining ELT/ETL pipelines using tools such as Fivetran or similar ingestion platforms.
β’ Experience supporting finance, revenue, accounting, or operational reporting workflows.
β’ Strong understanding of data quality, testing, validation, monitoring, and platform reliability best practices.
β’ Demonstrated ability to troubleshoot complex data issues and improve data accuracy across multiple systems.
β’ Ability to operate independently in a highly autonomous environment while coordinating with globally distributed teams.
β’ Strong communication skills with the ability to bridge the gap between technical and non-technical stakeholders.
Plusses:
β’ Experience working with customer segmentation, support tiering, or operational analytics initiatives.
β’ Experience supporting data platforms across multiple products or business units.
β’ Familiarity with analytics and BI tools such as GoodData, Metabase, or similar reporting platforms.
β’ Experience mentoring engineers and serving as a senior technical contributor within a small team environment.
Role: Sr Data Engineer role
Location Remote- MUST live in PST time zone.
Visa USC and GC
Must Haves:
β’ 6+ years of experience in Data Engineering with strong ownership of production data platforms and pipelines.
β’ MUST HAVE hands-on experience with Google BigQuery for data warehousing, modeling, optimization, and analytics.
β’ Strong experience using dbt to build, maintain, and scale data transformation frameworks.
β’ Expert-level SQL skills and deep understanding of data modeling, dimensional modeling, and warehouse design.
β’ Experience building and maintaining ELT/ETL pipelines using tools such as Fivetran or similar ingestion platforms.
β’ Experience supporting finance, revenue, accounting, or operational reporting workflows.
β’ Strong understanding of data quality, testing, validation, monitoring, and platform reliability best practices.
β’ Demonstrated ability to troubleshoot complex data issues and improve data accuracy across multiple systems.
β’ Ability to operate independently in a highly autonomous environment while coordinating with globally distributed teams.
β’ Strong communication skills with the ability to bridge the gap between technical and non-technical stakeholders.
Plusses:
β’ Experience working with customer segmentation, support tiering, or operational analytics initiatives.
β’ Experience supporting data platforms across multiple products or business units.
β’ Familiarity with analytics and BI tools such as GoodData, Metabase, or similar reporting platforms.
β’ Experience mentoring engineers and serving as a senior technical contributor within a small team environment.






