Senior Data Engineer: Build Trusted Analytics Platform

Yaqeen Institute; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Yaqeen Institute seeks a seasoned Data Engineer to design, build, and operate our data platform powering analytics and product decisions. You will model complex data, engineer resilient pipelines, and manage cloud infrastructure to keep data trustworthy and governed.

You’ll partner with analytics, product, and platform teams to improve data movement, reliability, and governance across our SaaS-like environment. This role emphasizes collaboration and hands-on execution.

Qualifications

• Advanced SQL performance tuning and complex analytic queries.
• Advanced Python for pipelines, tooling, and automation.
• Experience with AWS, Azure, GCP, or equivalent cloud platforms.
• Expertise in modern data warehousing (Snowflake, BigQuery, Databricks, Redshift).
• Experience building pipelines across ETL, ELT, CDC and streaming.
• Data modeling expertise and dbt tooling experience.
• Familiarity with Airflow, Dagster or Prefect.
• Ability to work with Terraform, Helm, Kubernetes or similar.

Responsibilities

• Data Modelling & Transformation: own the transformation layer and tooling including dbt.
• Pipelines & Orchestration: design scalable batch/streaming pipelines and schedule workflows.
• Data Warehousing & Infrastructure: architect and optimize the data warehouse and cloud infra.
• Collaboration & Communication: translate requirements into reliable data models and delivery.
• Assignment: participate in a technical assessment after screening.

Skills

Advanced SQL

Python

Cloud platforms

Data warehousing

ETL/ELT pipelines

dbt

Airflow/Dagster/Prefect

Infrastructure as code

Data governance

Observability & lineage

Tools

Airflow

Dagster

Prefect

dbt

Terraform

Kubernetes

Job description

Yaqeen Institute seeks a seasoned Data Engineer to design, build, and operate our data platform powering analytics and product decisions. You will model complex data, engineer resilient pipelines, and manage cloud infrastructure to keep data trustworthy and governed.

You’ll partner with analytics, product, and platform teams to improve data movement, reliability, and governance across our SaaS-like environment. This role emphasizes collaboration and hands-on execution.