Data Engineer

TECHNOLOGY PARTNERS INC; Chesterfield (MO); Hybrid; USD 74,000 - 106,000; Full time

Job summary

Technology Partners is seeking a talented Data Engineer in the United States. The candidate will design, build, and maintain scalable big data pipelines, compiling large data sets including text, time series, and imagery for advanced analytics.

The role requires 4-6 years in big data engineering, BS in CS or equivalent, and hybrid work with onsite presence at least 3 days weekly in Missouri. Familiarity with AWS/Azure/GCP and ETL/ELT is preferred.

Qualifications

• BS in Computer Science or equivalent professional experience.
• 4-6 years of dedicated experience in Big Data engineering.
• Experience handling complex data types including time series and imagery.
• Proficiency with various database technologies and data management practices.
• Onsite availability: hybrid work (3 days per week).

Responsibilities

• Design, build, and maintain scalable big data pipelines and architectures.
• Assemble large, complex data sets to meet business requirements.
• Evaluate and implement high-performance database technologies.
• Implement data management best practices for data integrity.
• Collaborate with cross-functional teams to move from data collection to insight.

Skills

Big Data engineering

Data handling

Database technologies

Cloud experience

Data pipelines

Education

BS in Computer Science or equivalent

Tools

AWS

Azure

GCP

ETL/ELT tools

Job description

Technology Partners is currently seeking a talented Data Engineer.

Do you have 4-6 years of experience assembling complex data sets and building high-performing big data platforms?

Let us help you make your next big career move a reality!

What You Will Be Doing:

You will be responsible for developing, maintaining, and evaluating big data solutions across various functional and process content areas. Using data management best practices and innovative, fit-for-purpose technologies, you will build stable, flexible, and high-performing data platforms. Your goal is to reduce the lead time from initial data collection to actionable insight generation by assembling large, complex data sets—including text, time series, and imagery—into useful formats for advanced analysis.

Key Responsibilities:

• Design, build, and maintain scalable big data pipelines and architectures.
• Assemble large, complex data sets (text, time series, imagery) to meet functional business requirements.
• Evaluate and implement fit-for-purpose database technologies to ensure high performance and stability.
• Implement data management best practices to ensure data integrity and platform flexibility.
• Collaborate with cross-functional teams to streamline the transition from data collection to insight generation.
• Optimize data platforms for speed, scalability, and reliability.

Required Skills & Experience:

• Education:BS in Computer Science or equivalent professional experience.
• Experience:4-6 years of dedicated experience in Big Data engineering or a related field.
• Data Handling:Proven ability to manage and format complex data types, including time series and imagery.
• Database Tech:Proficiency in various database technologies and data management best practices.
• Onsite Availability:Ability to work onsite at least 3 days per week (Hybrid).

Desired Skills & Experience:

• Experience with cloud-based big data environments (AWS, Azure, or GCP).
• Familiarity with ETL/ELT pipeline automation and orchestration tools.
• Knowledge of advanced analytics and how data structures impact machine learning models.

Pay:

$53.90 - $77.00 /hr.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.

Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!

Keywords:Data Engineer, Big Data, Data Pipeline, Database Technology, SQL, NoSQL, Data Architecture, ETL, ELT, Data Collection, Time Series Data

All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.

Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.