Data Analytics Engineer

PTR Global; Austin (TX); Hybrid; USD 90,000 - 96,000; Full time

Job summary

The role requires strong communication, initiative, and attention to detail, with hands-on work on Airflow, dbt, AWS, Snowflake, and related data tooling in a hybrid onsite/remote setup.

Qualifications

• 5+ years in data engineering and analytics space.
• Experience building data pipelines (ETL/ELT).
• Proficient with orchestration tools (Airflow, dbt, Prefect).
• Experience with cloud platforms (AWS) and data tools (Snowflake).
• Familiar with data lake/warehouse architectures (S3+Athena, Delta Lake).
• Strong communication, documentation, collaboration, initiative, and attention to detail.

Responsibilities

• Develop and maintain data pipelines (ETL/ELT).
• Participate in reviews with client teams and ensure documentation standards.
• Perform testing at multiple stages of the project.
• Support production cutover and warranty activities.
• Adhere to CI/CD practices for data workflows.

Skills

Communication

Documentation

Collaboration

Initiative

Attention to Detail

Tools

Airflow

dbt

Prefect

AWS

Snowflake

S3

Athena

Delta Lake

Git

Job description

Day 1 onsite Austin, TX (Prefers local folks)

Hybrid - 3 days onsite and 2 days remote

Long term contract

No mid layer / No Implementation partners are Involved

• The response to this request must include all relevant SDLC artifacts for the project, as discussed with the manager.
• In addition to the development of the software, and corresponding artifacts, the scope must include participation and support of reviews with client internal groups, testing at various stages of the project, and production cutover and warranty support.

Additional Comments:

We are looking for a data analytics engineer (a data engineer who specializes in the data analytics space) with the following expertise:

Core Professional Competencies

1. Communication: Clearly communicates technical work to diverse audiences, verbally and in writing. Participate in peer reviews and team discussions with clarity and purpose.

2. Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.

3. Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensured continuity through knowledge sharing.

4. Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.

5. Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.

Data Engineering Expertise (5+ years)

• Experienced in building and maintaining data pipelines (ETL/ELT)
• Proficient with orchestration tools (e.g., Airflow, dbt, Prefect)
• Comfortable working with cloud platforms (e.g., AWS) and tools like Snowflake
• Familiar with data lake and warehouse architecture (e.g., S3+ Athena, Delta Lake)

Data Infrastructure & Management (5+ years)

• Expertise in data modeling (star/snowflake schemas, normalization, dimensional modeling)
• Skilled in maintaining data quality and integrity (data monitoring, validation, deduplication, anomaly detection)
• Familiar with version control, CI/CD practices for data workflows (e.g., Git)

Pay Range: $65/hr - $70/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.