Data Engineer

Speria; Atlanta (GA); On-site; USD 95,000 - 150,000; Full time

Job summary

Speria MTech is hiring a Data Engineer to join our Atlanta team. You will design, build, and maintain scalable data pipelines and platforms supporting machine learning, optimization, and operational reporting systems.

The role focuses on transforming data from sensors, controllers, and enterprise systems into high-quality datasets using batch and scheduled processing workflows, with support for evolving near real-time use cases. We value a service-minded attitude and collaboration.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2–4 years experience in data engineering or data systems.
• Experience with Apache Spark and large-scale data processing.
• Experience building batch pipelines in production.
• Experience with cloud platforms (e.g., Azure, Databricks).
• Strong Python programming skills.
• SQL and Apache Spark expertise.

Responsibilities

• 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.

Skills

Apache Spark

Batch pipelines

Azure

Databricks

Python

SQL

Education

Bachelor’s degree in Computer Science, Engineering, or related field

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 Management—all 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 MTech’s

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 MTech's 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

Qualifications, Skills, and Experience

• Bachelor’s degree in Computer Science, Engineering, or related field
• 2–4 years experience in data engineering or data systems
• Experience with Apache Spark and large-scale data processing
• Experience building batch pipelines in production
• Experience with cloud platforms (e.g., Azure, Databricks)
• Strong Python programming skills
• SQL and Apache Spark expertise

Preferred Skills

• Experience with batch and scheduled pipelines
• Experience optimizing pipeline performance and cost
• Familiarity with Azure ecosystem (Event Hub, Cosmos DB, Functions)
• Experience with data quality monitoring and validation
• Strong problem-solving and collaboration skills

EEO Statement

Integrated into our shared values is Speria MTech’s commitment to diversity and equal

employment opportunity. All qualified applicants will receive consideration for employment

without regard to sex, age, race, color, creed, religion, national origin, disability, sexual

orientation, gender identity, veteran status, military service, genetic information, or any other

characteristic or conduct protected by law. Speria MTech is committed to being a globally

inclusive company where all people are treated fairly, recognized for their individuality,

promoted based on performance, and encouraged to strive to reach their full potential. We

believe in understanding and respecting differences among all people. Every individual at

Speria MTech has an ongoing responsibility to respect and support a globally diverse

environment.