Data Engineer

• Atlanta
• Hybrid

Job Description

At Speria MTech our company mission is to increase yield in protein production to help feed

the growing world population without compromising animal welfare or damaging the planet.

We aim to create software that delivers real-time data to the entire supply chain that allows

producers to get better insight into what is happening on their farms and what they can do to

responsibly improve production.

Speria MTech is the industry-leading provider for Live Animal Protein Production Performance

Management Tools. For over 30 years Speria MTech has provided cutting-edge enterprise

data solutions for all aspects of the live poultry operations cycle. We provide our customers

with solutions in Business Intelligence Live Production Accounting Production Planning and

Remote Data Managementall through an integrated system. Our applications can

currently be found running businesses on six continents in over 50 countries. Speria MTech

has built an international reputation for equipping our customers with the power to utilize

comprehensive data to maximize profitability.

With over 300 employees globally Speria MTech currently has main offices in Mexico United

States and Brazil with additional resources in key markets around the world. Speria MTechs

headquarters is based in Atlanta Georgia and has approximately 90 team members in a

casual collaborative environment. Our work culture here is based on a passion for helping

our clients feed the world resulting in a flexible and rewarding atmosphere. We pride

ourselves for having a working atmosphere that encourages collaboration exceptional

development tooling training and ongoing opportunities to work with senior and executive

management.

Job Summary

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team at

Speria MTech. The ideal candidate will play a crucial role in designing building

and maintaining scalable data pipelines and platforms that support machine learning

optimization and operational reporting systems. This role focuses on transforming data from

sensors controllers and enterprise systems into high-quality datasets using primarily batch

and scheduled processing workflows with support for evolving near real-time use cases.

We seek a solution-oriented individual who can provide answers rather than just identify

problems. Embracing continuous change is key as innovation and improvement are integral

to Speria MTechs culture. This person should have a service-minded attitude demonstrating

a passion for enhancing the work of others and simplifying processes for stakeholders.

Essential Functions & Responsibilities

Essential responsibilities include and functions of the Data Engineer are:

Design and build batch and near real-time data pipelines

Develop transformation workflows for high-quality datasets

Ensure data quality integrity and reliability

Collaborate with MLEs for feature data readiness

Implement data monitoring and anomaly detection

Support synthetic data for testing and simulation

Optimize pipelines to remove redundancy and reduce costs

Improve performance scalability and efficiency

Maintain pipeline reliability and documentation