Analytics Engineer - Build Scalable Data Pipelines

NexusLeap; Austin (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, Vision

HSA

401(k) match

Charity donations

Monthly co-working days with lunches

Quarterly team activities

Professional development

Job summary

The Analytics Engineer at NexusLeap will lead technical tasks and collaborate with teams to develop robust and scalable analytics solutions, ensuring performance and reliability.

Responsibilities include building complex ETL pipelines with Python and SQL, integrating analytics functionality with architects and engineers, and deploying AWS resources via Infrastructure as Code. Strong curiosity, AWS experience, and SQL/Python fluency are essential.

Qualifications

• Proficient in Python and SQL with experience building scalable data pipelines.
• Exposure to AWS services (Glue, Redshift, S3) and data warehousing concepts.
• Strong collaboration skills with development teams and stakeholders.

Responsibilities

• Build complex ETL pipelines using Python and SQL.
• Collaborate with architects/engineers to integrate analytics functionality.
• Deploy and manage AWS resources using Infrastructure as Code (IaC).

Skills

Python

SQL

AWS

PySpark

Dataframes

Git

Analytical thinking

Education

BS/MS in Computer Science / Information Systems / Mathematics

Tools

Airflow

SSIS

PowerBI

Tableau

Glue

Redshift

S3

Job description

The Analytics Engineer at NexusLeap will lead technical tasks and collaborate with teams to develop robust and scalable analytics solutions, ensuring performance and reliability.

Responsibilities include building complex ETL pipelines with Python and SQL, integrating analytics functionality with architects and engineers, and deploying AWS resources via Infrastructure as Code. Strong curiosity, AWS experience, and SQL/Python fluency are essential.