Data Engineer

Techfuturiq; McKinney (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

Techfuturiq in McKinney, TX seeks a data-focused professional to analyze, organize, and automate data architectures supporting business needs. You will build pipelines, extract data from diverse sources, and drive data-driven solutions across projects.

The role emphasizes transforming data for modeling, validating trends, and delivering insights to stakeholders, with travel to client locations within the USA as required.

Responsibilities

• Analyze and organize raw data with a systematic approach to Plan, Create, Maintain data architectures and align with business requirements
• Build data systems and pipelines by obtaining data from right sources
• Evaluate business needs and objectives to drive solutions
• Extraction, Transformation and Loading the data directly from heterogeneous source systems
• Dive into data and pinpoint tasks where manual participation can be eliminated with automation
• Interpret trends and patterns to determine whether the model fits into data
• Prepare data for prescriptive and predictive modeling to find potential outcomes
• Explore ways to enhance data quality and reliability to create better decision‑making insights
• Identify opportunities for data acquisition
• Conduct complex data analysis and report on results
• Develop analytical tools and programs
• Conduct research for industry and business questions
• Collaborate with data scientists and architects on several projects
• Deliver updates to stakeholders based on analytics

Skills

Data analysis

Data pipelines

ETL processes

SQL

Python

Education

Bachelor's degree in Computer Science, Computer Information Systems, Information Technology, or related field

Job description

Responsibilities

• Analyze and organize raw data with a systematic approach to Plan, Create, Maintain data architectures and also keeping it aligned with business requirements.
• Build data systems and pipelines by obtaining data from right sources.
• Evaluate business needs and objectives to drive solutions.
• Extraction, Transformation and Loading the data directly from heterogeneous source systems.
• Dive into data and pinpoint tasks where manual participation can be eliminated with automation.
• Interpret trends and patterns to determine whether the model fits into data.
• Prepare data for prescriptive and predictive modeling to find potential outcomes.
• Explore ways to enhance data quality and reliability to create better decision‑making insights.
• Identify opportunities for data acquisition.
• Conduct complex data analysis and report on results.
• Develop analytical tools and programs.
• Conduct research for industry and business questions.
• Collaborate with data scientists and architects on several projects.
• Deliver updates to stakeholders based on analytics.

Required Education

Required Education: Bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a closely related field or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

Work location

Work location: McKinney, TX with required travel to client locations throughout the USA.