Senior Data Engineer - Remote, Scalable Pipelines

Astrodata; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work with annual team offsite

US health coverage

401k with employer matching

Job summary

Astrodata is seeking a Senior Data Engineer to design and implement scalable data pipelines and robust data architectures for a diverse client base. You will work on ingestion, transformation, and downstream delivery, leveraging dbt, Airflow, and modern data stack tools.

The role focuses on building end-to-end data solutions, optimizing batch and streaming workflows, and collaborating with analysts and engineers to deliver analytics-ready datasets. Remote work within the US is supported.

Qualifications

• 5+ years of experience as a Data Engineer.
• Strong SQL data transformations and Python pipelines.
• Experience with dimensional modeling (Kimball).
• Experience designing end-to-end data warehouses (Snowflake).
• Experience with batch and streaming architectures; Airflow or Prefect.
• Experience with git and agile teams.

Responsibilities

• Design, implement, and maintain scalable data pipelines using dbt and Airflow.
• Architect and optimize batch and streaming workflows (Snowflake, Kafka, AWS).
• Lead development and orchestration of ETL/ELT frameworks with testing and data quality.
• Proactively implement monitoring, logging, CI/CD, and alerting for production pipelines.
• Collaborate with client teams to design shared data models and analytics datasets.

Skills

5+ years experience

SQL

Python

Dimensional modeling

Tools

dbt

Airflow

Snowflake

Kafka

AWS (S3, Lambda, ECS Fargate)

Job description

Astrodata is seeking a Senior Data Engineer to design and implement scalable data pipelines and robust data architectures for a diverse client base. You will work on ingestion, transformation, and downstream delivery, leveraging dbt, Airflow, and modern data stack tools.

The role focuses on building end-to-end data solutions, optimizing batch and streaming workflows, and collaborating with analysts and engineers to deliver analytics-ready datasets. Remote work within the US is supported.