Data Engineer III

TECHNOLOGY PARTNERS INC; St. Louis (MO); Hybrid; USD 96,000 - 152,000; Part time

Job summary

Technology Partners is seeking a Data Science and Analytics Engineer to design, develop, and implement data analysis solutions using SQL, Python, and ML frameworks.

You will join a data analytics team, collaborating with data engineers, analysts, and business partners to build models, dashboards, and data pipelines for enterprise stakeholders. This hybrid role requires three days on-site at AHQ, Tuesday and Wednesday included, with potential contract extensions.

Qualifications

• 3-5+ years of data analysis, data engineering, or data science experience.
• Proficiency in SQL, Python, and related data analysis tools and frameworks.
• Experience with database design, data modeling, and building data pipelines.
• Strong knowledge of statistical analysis, mathematical concepts, and data visualization techniques.
• Ability to work with unstructured data and develop machine learning models.
• Excellent problem-solving, communication, and collaboration skills.
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• High School Diploma or equivalent and a valid Driver's License.

Responsibilities

• Generate reports and datasets by utilizing system tools, database queries, and scripting to meet end-user requirements.
• Design, develop, and program methods and systems to analyze structured and unstructured data from diverse sources.
• Analyze and model data to identify trends, patterns, and insights for decision-making support.
• Program and maintain reports, dashboards, and data portals to enable end-user data access.
• Apply advanced statistical and mathematical concepts to interpret large datasets, identifying key insights.
• Support complex business problems by integrating internal and external unstructured data sources to inform strategic decisions.
• Build or define machine learning and artificial intelligence solutions that create business value.
• Design database architectures for unstructured data, defining storage, consumption, and management strategies.
• Collaborate with data analysts and engineers to review data pipelines and optimize data processes.
• Translate business requirements into technical data science solutions aligned with organizational goals.

Skills

SQL

Python

Machine Learning

Data Analysis

Education

Bachelor's degree in CS/Data Science/Statistics

High School Diploma

Tools

SQL

Python

Job description

Technology Partners is currently seeking a talented Data Science and Analytics Engineer.

Do you have experience designing, developing, and implementing data analysis solutions utilizing SQL, Python, and machine learning frameworks?

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

What You Will Be Doing:

You will be part of a data analytics team working on developing advanced reporting and data solutions for enterprise stakeholders. You will collaborate with data engineers, analysts, and business partners to design databases and build machine learning models that deliver actionable insights. This is a hybrid role requiring at least three days on-site at AHQ, including Tuesdays and Wednesdays. You will support the development of data pipelines, optimize data workflows, and translate complex business needs into technical solutions that generate measurable organizational value. The role is a contract with potential to extend based on project needs.

Key Responsibilities:

• Generate reports and datasets by utilizing system tools, database queries, and scripting to meet end-user requirements.
• Design, develop, and program methods and systems to analyze structured and unstructured data from diverse sources.
• Analyze and model data to identify trends, patterns, and insights for decision-making support.
• Program and maintain reports, dashboards, and data portals to enable end-user data access.
• Apply advanced statistical and mathematical concepts to interpret large datasets, identifying key insights.
• Support complex business problems by integrating internal and external unstructured data sources to inform strategic decisions.
• Build or define machine learning and artificial intelligence solutions that create business value.
• Design database architectures for unstructured data, defining storage, consumption, and management strategies.
• Collaborate with data analysts and engineers to review data pipelines and optimize data processes.
• Translate business requirements into technical data science solutions aligned with organizational goals.

Required Skills & Experience:

• 3-5+ years of data analysis, data engineering, or data science experience.
• Proficiency in SQL, Python, and related data analysis tools and frameworks.
• Experience with database design, data modeling, and building data pipelines.
• Strong knowledge of statistical analysis, mathematical concepts, and data visualization techniques.
• Ability to work with unstructured data and develop machine learning models.
• Excellent problem-solving, communication, and collaboration skills.
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• High School Diploma or equivalent and a valid Driver's License.

Desired Skills & Experience:

• Experience working with cloud platforms such as AWS or Azure.
• Familiarity with data warehouse solutions like Snowflake or Redshift.
• Certification in data science, machine learning, or analytics frameworks (e.g., AWS Certified Data Analytics).
• Exposure to AI development and deployment in enterprise environments.

Keywords: SQL, Python, Data Science, Machine Learning, Data Analytics, Data Engineer, Business Intelligence, AI, Big Data, Data Visualization

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.

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.