Data Engineer

Select Minds LLC; Dallas (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive salary

Opportunity for advancement

Job summary

A technology consulting firm is looking for a Data Engineer in Dallas, TX. This role involves designing, developing, and supporting data engineering solutions, ensuring the reliability and efficiency of data systems. Candidates should have strong ETL and cloud infrastructure experience, proficiency with various data formats, and the ability to collaborate across teams. The position offers a hybrid work environment with opportunities for advancement.

Qualifications

• Intermediate expertise in cloud infrastructure and Data Lake environments.
• Strong ETL experience ensuring source-to-target data integrity.
• Proficiency with various file formats including Delimited Text, Fixed Width, XML, JSON, and Parquet.

Responsibilities

• Design, assemble, and manage large, complex datasets fulfilling business requirements.
• Develop and implement process improvements for scalability and optimized data delivery.
• Build robust data infrastructure for efficient ETL processes.

Skills

Cloud infrastructure expertise

Strong ETL experience

Proficiency with various file formats

Hands-on experience with CI/CD

Agile development participation

Tools

AWS

SQL

Job description

Benefits:

• Hybrid work environment
• Competitive salary
• Opportunity for advancement

Title: Data Engineer

Location: Dallas, TX (Hybrid)

Interview: In-person

Job Summary

Work with limited supervision to design, develop, and support data engineering and analytics solutions. Collaborate with cross-functional teams to create customized data infrastructure, run comprehensive tests to isolate and resolve errors, and ensure system reliability. Continuously update and enhance data systems to adapt to changing business requirements, ensuring scalability, efficiency, and accuracy across analytics platforms.

Responsibilities

• Design, assemble, and manage large, complex datasets fulfilling business requirements.
• Develop and implement process improvements, including infrastructure redesign for scalability, optimized data delivery, and automation of manual workflows.
• Build robust data infrastructure for efficient ETL processes from multiple sources using AWS and SQL technologies.
• Create analytical tools and data pipelines to provide actionable insights into key business metrics.
• Collaborate with Data, Product, Design, and Executive teams to support data infrastructure needs and resolve technical challenges.
• Innovate and adapt technology or tools to address evolving business and user needs.
• Perform additional duties as assigned by leadership.

Experience

• Intermediate expertise in cloud infrastructure and Data Lake environments.
• Strong ETL experience ensuring source-to-target data integrity.
• Proficiency with various file formats including Delimited Text, Fixed Width, XML, JSON, and Parquet.
• Experience with ServiceBus configuration or equivalent AWS cloud services.
• Hands-on experience with unit testing, code quality tools, CI/CD, and container security practices.
• Background in Agile development with active participation in Agile ceremonies.

Flexible work-from-home options are available.