

Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 4-month contract (potential extensions) in San Jose, offering $55-$64 per hour. Key skills include Google Cloud Platform, SQL, ETL development, LookML, and Looker. Experience with Hadoop and Spark is a plus.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
512
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ποΈ - Date discovered
August 29, 2025
π - Project duration
3 to 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Jose, CA
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π§ - Skills detailed
#Automation #Scala #Data Modeling #Data Extraction #"ETL (Extract #Transform #Load)" #SQL Queries #Visualization #Hadoop #Spark (Apache Spark) #Cloud #Data Architecture #SQL (Structured Query Language) #Data Engineering #BigQuery #GCP (Google Cloud Platform) #Looker #API (Application Programming Interface)
Role description
Hybird out of San Jose
4 Month contract with potential extensions or hire
Payrate: $55-$64
Required Skills & Experience
Required Skills & Qualifications: - Proven experience with Google Cloud Platform, especially BigQuery. Strong proficiency in SQL and data modeling. - Hands-on experience with ETL development and cloud data architecture. - Advanced skills in LookML and Looker dashboard development. - Familiarity with GCP command-line tools (gcloud, gsutil, bq). - Experience with Looker API/SDK for automation and embedding. - Excellent analytical, problem-solving, and communication skills. - Ability to work effectively in a fast-paced, dynamic environment.
Nice to Have Skills & Experience
- Leverage experience with Hadoop, Spark/Hive, and UC4 scheduling tools.
Job Description
We are seeking a highly skilled Data Engineer with deep expertise in LookML and Google Cloud Platform (GCP) to join our data team. This role is ideal for someone who can design scalable data architectures, build intuitive dashboards, and collaborate cross-functionally to deliver impactful analytics solutions. - Design, develop, test, and maintain ETL pipelines and data solutions within GCP, with a focus on BigQuery. - Write and optimize complex SQL queries for data extraction, transformation, and analysis. - Discover and integrate raw data from diverse sources into consistent, scalable architectures. - Manage cloud data ingress and egress using tools such as gcloud, gsutil, and bq command-line utilities. - Translate business requirements into technical specifications and data models. - Build and maintain LookML views, explores, dashboards, and persistent derived tables. - Design clear, intuitive, and impactful dashboards following visualization best practices. - Utilize Lookerβs API and SDK for automation, embedding, and advanced integrations. - Collaborate with cross-functional teams to support data-driven decision-making.
Hybird out of San Jose
4 Month contract with potential extensions or hire
Payrate: $55-$64
Required Skills & Experience
Required Skills & Qualifications: - Proven experience with Google Cloud Platform, especially BigQuery. Strong proficiency in SQL and data modeling. - Hands-on experience with ETL development and cloud data architecture. - Advanced skills in LookML and Looker dashboard development. - Familiarity with GCP command-line tools (gcloud, gsutil, bq). - Experience with Looker API/SDK for automation and embedding. - Excellent analytical, problem-solving, and communication skills. - Ability to work effectively in a fast-paced, dynamic environment.
Nice to Have Skills & Experience
- Leverage experience with Hadoop, Spark/Hive, and UC4 scheduling tools.
Job Description
We are seeking a highly skilled Data Engineer with deep expertise in LookML and Google Cloud Platform (GCP) to join our data team. This role is ideal for someone who can design scalable data architectures, build intuitive dashboards, and collaborate cross-functionally to deliver impactful analytics solutions. - Design, develop, test, and maintain ETL pipelines and data solutions within GCP, with a focus on BigQuery. - Write and optimize complex SQL queries for data extraction, transformation, and analysis. - Discover and integrate raw data from diverse sources into consistent, scalable architectures. - Manage cloud data ingress and egress using tools such as gcloud, gsutil, and bq command-line utilities. - Translate business requirements into technical specifications and data models. - Build and maintain LookML views, explores, dashboards, and persistent derived tables. - Design clear, intuitive, and impactful dashboards following visualization best practices. - Utilize Lookerβs API and SDK for automation, embedding, and advanced integrations. - Collaborate with cross-functional teams to support data-driven decision-making.