Data Engineer — Build Scalable Pipelines & Dashboards

Goodwin Recruiting; Plano (TX); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive salary with advancement

Job summary

Goodwin Recruiting is seeking an analytics-driven Data Engineer to join the Reporting and Analytics team in Plano, TX. The role emphasizes data storytelling and innovative analytics within a collaborative environment, helping drive data-driven decision-making.

Ideal candidates will have a BS in a related field, 1 year of data space experience, and proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure). Strong communication and documentation skills are essential for success.

Qualifications

• Bachelor's degree in computer science, information systems, or related field.
• At least 1 year in data space or equivalent.
• 1 year of experience with Python and SQL.
• Experience with AWS, GCP, or Azure.
• Strong problem-solving and communication skills.
• Ability to design scalable data pipelines.
• Prepare data for visualization and reporting.
• Consolidate data from diverse sources.
• Develop reports, dashboards, and tools for stakeholders.
• Communicate technical topics clearly.
• Documentation of data solutions.

Responsibilities

• Create and maintain scalable data pipeline architectures to support analytics.
• Develop automated dashboards and tools for stakeholders.
• Prepare data for visualization and reporting.
• Consolidate data from diverse sources.
• Present findings and technical topics in plain language.

Skills

Python

SQL

Data storytelling

Problem-solving

Attention to detail

Communication

Curiosity

Data visualization

Education

Bachelor's degree in computer science, information systems, or related field

Tools

AWS

GCP

Azure

Job description

Goodwin Recruiting is seeking an analytics-driven Data Engineer to join the Reporting and Analytics team in Plano, TX. The role emphasizes data storytelling and innovative analytics within a collaborative environment, helping drive data-driven decision-making.

Ideal candidates will have a BS in a related field, 1 year of data space experience, and proficiency in Python, SQL, and cloud platforms (AWS/GCP/Azure). Strong communication and documentation skills are essential for success.