Data Analytics Engineer - Looker + BigQuery Expert

Openkyber; Alaska; Hybrid; USD 120,000 - 150,000; Full time

Job summary

AgreeYa is seeking a Data Analytics Engineer with strong data engineering skills to design and implement scalable data pipelines and semantic data layers. The role focuses on BigQuery, Looker LookML, and Airflow to deliver trusted datasets and dashboards for analytics across the organization.

You will collaborate with stakeholders, build automated data processing scripts in Python, and ensure data quality for reporting and chatbot analytics initiatives.

Qualifications

• Bachelor's degree in CS/IS/Engineering or related field with 6+ years in data engineering/BI.
• Hands-on experience with BigQuery, Looker, Airflow, Python and SQL; semantic layers preferred.
• Ability to design scalable data models and enterprise reporting solutions.
• Strong analytical, debugging, and problem-solving skills.

Responsibilities

• Design, build, and maintain scalable data pipelines using Airflow to ingest/transform/load into BigQuery.
• Develop and optimize data models to support enterprise reporting and analytics.
• Design semantic layers in Looker (LookML) for consistent metrics and governed data access.
• Build interactive dashboards/reports in Looker to support analytics and BI.
• Collaborate with stakeholders to translate requirements into scalable data solutions.
• Integrate data from multiple sources to create clean, reliable datasets for analytics.
• Write optimized SQL for large BigQuery datasets.
• Develop automation scripts with Python for data processing and ETL.
• Monitor and optimize ETL/ELT workflows for data quality and reliability.

Skills

SQL

Python

Data modeling

Semantic layers

ETL/ELT

Data warehousing concepts

Analytical thinking

Cross-functional collaboration

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Google BigQuery

Looker (LookML)

Airflow Composer

Job description

AgreeYa is seeking a Data Analytics Engineer with strong data engineering skills to design and implement scalable data pipelines and semantic data layers. The role focuses on BigQuery, Looker LookML, and Airflow to deliver trusted datasets and dashboards for analytics across the organization.

You will collaborate with stakeholders, build automated data processing scripts in Python, and ensure data quality for reporting and chatbot analytics initiatives.