Analytics Engineer

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 optimal performance and reliability.

For AI to work, there must be an immense amount of source data that is also accurate, complete, and connective. Therefore, we start by creating end-user tools like dashboards, then move on to pipelining the underlying data powering these data products, and ultimately collaborate on prescriptive solutions that can utilize this data repository.

This compounding building-block approach ensures that we are constantly aligning with our client's business goals and enhancing their decision-making at every iteration. At the finish line, the entire organization would have navigated the data maturity cycle and will be ready to utilize AI to its full potential.

We are looking for a hardworking, resourceful, and creative engineer to join our team.

Responsibilities

• Using Python and SQL to build complex ETL pipelines
• Working alongside architects and engineers to build and integrate analytics functionality
• Deploying and modifying AWS resources using Infrastructure as Code (IaC)

Qualifications

• You have an innate curiosity for tinkering with data products and recognize the importance of data storytelling.
• You have significant experience optimizing analytics workloads in AWS using services like Glue, Redshift, Athena, and S3
• You are fluent in SQL and Python.
• You can easily navigate large datasets (1B+ rows) and have a good handle on distributed computing (PySpark).
• You have a strong command in data manipulation and analysis using dataframes, demonstrated through complex data operations, optimization, and efficient handling of large-scale datasets.
• You have some experience with workflow tools like Microsoft SSIS or Apache Airflow.
• You have collaborated with a development team with established source control (git).
• You hold a BS and/or MS degree from an accredited university in one of the following: Computer Science, Information Systems, Operations Research, Mathematics, Statistics, or related technical field.

Preferred Fit

• You are extremely articulate and concise
• You have more than one associate level certification in AWS
• You have experience creating and supporting dashboards created using tools like PowerBI or Tableau
• You enjoy working at startups and smaller companies but still look for some structure in your day-to-day
• You take initiative
• You think AI & machine learning is pretty neat
• You have experience implementing machine learning tools in a production environment
• We operate with these core values: integrity, dependability, curiosity, and grit

Benefits

• We offer a generous salary and benefits package (Medical, Dental, Vision, HSA, 401(k) match)
• We sponsor donations to multiple charities picked by our team
• We meet up during monthly co-working days with provided lunches
• We have quarterly team activities and a yearly retreat
• We offer professional development options every year

NexusLeap is an Equal Employment Opportunity employer that proudly strives for a diverse workforce. NexusLeap does not make employment decisions based on race, color, religion, or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy.