Data Engineer

Elios Talent; Houston (TX); Remote; USD 150,000 - 190,000; Full time

Job summary

A leading company in Houston is seeking a versatile Data Engineer/Analyst to enhance their big data platform. This role involves engineering and data analysis to support business decisions across various departments. The ideal candidate will design systems for data value, deliver actionable insights, and automate reporting. Strong SQL and Python skills are essential, along with a degree in a quantitative field. Join a dynamic team in a fast-paced environment focused on innovation and growth.

Qualifications

• Advanced SQL proficiency and strong ETL pipeline experience.
• Proficiency in Python, R, MATLAB, or other statistical scripting languages.

Responsibilities

• Build and maintain a scalable big data platform tailored to business needs.
• Conduct data mining, modeling, and predictive analysis aligned with company goals.

Skills

SQL

Data Visualization

Python

Data Analysis

Education

Degree in a quantitative field

Tools

Fivetran

Redshift

dbt

Metabase

Job description

Direct message the job poster from Elios Talent

Data Engineer/Analyst - Houston, TX - Remote

We’re looking for a versatile and driven Data Engineer / Analyst to help build and optimize our big data platform. This role blends hands-on engineering with data analysis to power smarter decisions across the business—from product to marketing and beyond.

Architect Our Data Future: Design, build, and maintain the systems that turn raw data into real business value.

Empower Decision-Makers: Deliver clean, actionable data to teams across the company—fueling growth, product innovation, and smarter marketing.

Drive Data-Driven Strategy: Use your analytical mindset and technical skills to surface insights, automate reporting, and support predictive modeling.

What You’ll Do:

• Build and maintain a scalable big data platform tailored to business needs
• Collect, clean, transform, and manage business data from various sources
• Create and deliver business reports, dashboards, and custom data extracts
• Conduct data mining, modeling, and predictive analysis aligned with company goals
• Collaborate with cross-functional teams to provide insights and data-driven recommendations

What You Bring:

• Degree in a quantitative field (Data Science, Computer Science, Math, Statistics, Physics, etc.)
• Advanced SQL proficiency and strong ETL pipeline experience
• Familiarity with tools such as Fivetran, Redshift, dbt, and Metabase
• Proficiency in Python, R, MATLAB, or other statistical scripting languages
• Strong data visualization and presentation skills
• Self-starter attitude and a passion for working in a fast-paced startup environment

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  IT Services and IT Consulting and Wellness and Fitness Services

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