Senior Analytics Engineer - Remote Data Pipelines

Astrodata; United States; Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work with annual team offsite

Great health coverage (US)

401k with employer matching

Job summary

Astrodata is seeking a Senior Analytics Engineer to design and implement robust data solutions for ingestion, transformation, orchestration, and downstream delivery across diverse client environments.

You will architect a flexible semantic layer, lead ETL/ELT frameworks, and champion data quality with tests, contracts, and observability. This role collaborates with analysts, data scientists, and engineers in a fast-paced consulting setting.

Qualifications

• 5+ years as an Analytics Engineer or similar role.
• Strong SQL with dbt and data modeling experience.
• Experience building semantic layers and production deployments.
• Proficiency in Python for orchestration and tooling.
• Familiarity with BI tools that integrate semantic layers (Looker, Omni).

Responsibilities

• Design and maintain scalable data transformation pipelines with dbt and Airflow.
• Architect semantic layer for consistent downstream consumption and performance.
• Lead ETL/ELT framework development with robust data quality testing.
• Implement monitoring, logging, CI/CD, and alerting for pipeline health.
• Partner with client stakeholders to translate needs into data solutions.
• Guide analytics engineering practices and promote reusable data patterns.
• Collaborate with analysts, data scientists, and engineers on data models.
• Enforce data validation, contracts, and governance in model releases.

Tools

dbt

Airflow

SQL

Python

Git

Looker

Snowflake

Job description

Astrodata is seeking a Senior Analytics Engineer to design and implement robust data solutions for ingestion, transformation, orchestration, and downstream delivery across diverse client environments.

You will architect a flexible semantic layer, lead ETL/ELT frameworks, and champion data quality with tests, contracts, and observability. This role collaborates with analysts, data scientists, and engineers in a fast-paced consulting setting.