Data Engineer: Lead Scalable Pipelines & Cloud Solutions

Apex Meadows Corp.; Austin (TX); On-site; USD 150,000 - 219,000; Full time

Job summary

Apex Meadows Corp. in Austin, TX, is seeking a Data Engineer to design, build, and maintain data infrastructure within a full-time role. You will collaborate with data scientists and analysts to ensure data accuracy, reliability, and accessibility, while optimizing pipelines for performance and scalability.

Travel for client meetings may be required. The ideal candidate has a strong software engineering background, proficiency in Java or Python, SQL, and experience with cloud platforms such as

Qualifications

• Bachelor's degree in computer science or related field.
• Experience designing and implementing data pipelines, ETL processes, and data warehousing.
• Proficiency in SQL, Python, and at least one cloud platform such as AWS or GCP.
• Strong background in software engineering.

Responsibilities

• Design, develop, and maintain data infrastructure.
• Collaborate with data scientists and analysts to ensure data accuracy, reliability, and accessibility.
• Optimize data pipelines to enhance performance and scalability.
• Manage a team of developers and oversee project timelines.
• Ensure the successful delivery of software solutions.
• Work in a modern office environment alongside a dynamic team.
• Occasional travel for client meetings or industry conferences.

Skills

Java

Python

SQL

Data engineering

ETL design

Data warehousing

Big data

Education

Bachelor's degree in computer science

Certifications or additional training

Tools

Git

Jenkins

Job description

Apex Meadows Corp. in Austin, TX, is seeking a Data Engineer to design, build, and maintain data infrastructure within a full-time role. You will collaborate with data scientists and analysts to ensure data accuracy, reliability, and accessibility, while optimizing pipelines for performance and scalability.

Travel for client meetings may be required. The ideal candidate has a strong software engineering background, proficiency in Java or Python, SQL, and experience with cloud platforms such as