Senior Data Engineer: Scale Data Platform & Pipelines

Instrumentl; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Instrumentl is seeking a Senior Data Engineer to enhance its data platform. The role entails designing and scaling data pipelines and implementing systems for data ingestion, processing, and storage. Ideal candidates will have robust experience in software engineering, specifically in data engineering within early-stage environments.

Key responsibilities include optimizing systems for performance and scalability while applying best practices in software engineering. Proficiency in Python, SQL, and ETL/ELT pipelines is essential.

Qualifications

• 5+ years of software engineering experience, with 2-3 years in data engineering.
• Proven experience building ETL/ELT pipelines end-to-end.
• Deep understanding of the data lifecycle from ingestion to serving.

Responsibilities

• Design and scale our data platform including pipelines and models.
• Develop scalable ETL/ELT pipelines for data ingestion.
• Define and implement systems for data storage and processing.

Skills

Python

SQL

ETL/ELT Pipeline Construction

Data Modeling

Workflow Orchestration

Tools

Airflow

AWS

GCP

Azure

Looker

Tableau

Snowflake

BigQuery

Redshift

Kafka

Kinesis

Job description

Instrumentl is seeking a Senior Data Engineer to enhance its data platform. The role entails designing and scaling data pipelines and implementing systems for data ingestion, processing, and storage. Ideal candidates will have robust experience in software engineering, specifically in data engineering within early-stage environments.

Key responsibilities include optimizing systems for performance and scalability while applying best practices in software engineering. Proficiency in Python, SQL, and ETL/ELT pipelines is essential.