Data Analytics Engineer

Inherent Technologies; United States; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Inherent Technologies is seeking a Data Analytics Engineer in Secaucus, NJ (Remote) to design and optimize scalable data pipelines on GCP. You will build ETL/ELT processes with Dataflow and BigQuery, model data for analytics, and enable actionable insights for business stakeholders.

The role bridges data engineering and analytics, collaborating with data scientists and analysts to deliver Looker-based dashboards and reports.

Qualifications

• Strong experience with Google Cloud Platform and modern data engineering.
• Ability to design, build, and optimize scalable data pipelines and analytics workflows.
• Experience in driving data quality, governance, and reliable reporting for business stakeholders.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow and BigQuery.
• Implement data modeling, transformation, and orchestration for analytics workloads.
• Collaborate with data scientists and analysts to deliver insights via Looker dashboards and reports.
• Ensure data reliability, quality, and governance across multiple data sources.
• Write Python scripts for automation and data processing; support CI/CD for pipelines.

Skills

GCP

BigQuery

Dataflow

Looker

Python

Tools

GCP

BigQuery

Dataflow

Looker

Dataform

Job description

Position: Data Analytics Engineer

Location: Secaucus, NJ *(Remote) *

Duration: 1 Years

Mandatory skills - GCP, Big Query, Dataflow, Looker, and Python Key Responsibilities: We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through Big Query, Dataflow, Data form, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Data form, and Big Query. Implement data modeling, transformation, and orchestration best practices for analytics workflows. Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports. Ensure data reliability, quality, and governance across multiple data sources. Optimize Big Query queries, partitions, and clustering for performance and cost efficiency. Write Python scripts for automation, data processing, and integration with APIs. Implement CI/CD practices for data pipeline deployments. Monitor, troubleshoot, and improve data infrastructure performance and reliability. Document data models, pipelines, and dashboards to ensure transparency and maintainability..