Senior Data Engineer And Data Scientist

Giggso; Kansas City (MO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Giggso in Kansas City, MO is seeking a Senior Data Engineer and Data Scientist to design, build, and maintain scalable data pipelines, data warehouses, and analytics platforms to support AI initiatives. The role involves developing and optimizing ETL/ELT processes, cleaning and transforming data, and implementing robust data governance aligned with GRC requirements.

You will also develop ML models and collaborate with product, engineering, and business stakeholders to translate insights into

Qualifications

• Experience building scalable ETL/ELT pipelines and data warehouses/lakes.
• Experience developing ML models and performing exploratory data analysis.
• Proficiency in Python and SQL; familiarity with data/ML frameworks.
• Experience with cloud platforms (AWS/Azure/GCP) for scalable data architectures.
• Knowledge of GRC principles and implementing governance/security requirements.
• Strong communication and cross-functional collaboration in hybrid teams.
• Bachelor’s or Master’s in CS/DS/Engineering or equivalent.

Responsibilities

• Design, build, and maintain scalable data pipelines, warehouses, and analytical platforms.
• Develop and optimize ETL/ELT processes, clean and transform data, ensure data quality.
• Implement governance frameworks aligned with GRC requirements.
• Develop and deploy ML models; perform statistical analyses.
• Collaborate with product, engineering, and business stakeholders to translate insights into actions.
• Document solutions, mentor teammates, establish best practices for secure, compliant data and AI solutions.

Skills

Data pipelines

ETL/ELT

Data warehouses/data lakes

Machine learning models

Python

SQL

Cloud platforms (AWS/Azure/GCP)

GRC knowledge

Cross-functional collaboration

Education

Bachelor’s or Master’s in CS/DS/Engineering

Tools

Python libraries (pandas, scikit-learn)

SQL tooling

Data lake tooling

Job description

Company Description

Giggso is a Michigan-founded company established in 2017 to help enterprises navigate the complexities of digital transformation. As a Minority Business Enterprise (MBE), Giggso brings diverse perspectives to solving challenging governance and engineering problems. The company serves Fortune 500 clients globally, helping them move from experimental AI pilots to scalable, profitable AI solutions. Giggso focuses on the intersection of Governance, Risk, Compliance (GRC) and engineering, turning AI governance from a bottleneck into a competitive advantage. Applicants can learn more about Giggso’s mission and work at www.giggso.com.

Role Description

This is a full-time Senior Data Engineer and Data Scientist role based in Kansas City, MO, with a hybrid work arrangement that allows some work from home. In this role, the individual will design, build, and maintain scalable data pipelines, data warehouses, and analytical platforms to support AI and advanced analytics initiatives. Day-to-day responsibilities include developing and optimizing ETL/ELT processes, cleaning and transforming data, and implementing robust data quality and governance frameworks aligned with GRC requirements. The role also involves developing and deploying machine learning models, performing statistical and exploratory analyses, and collaborating with product, engineering, and business stakeholders to translate complex data insights into actionable recommendations. The Senior Data Engineer and Data Scientist will document solutions, mentor teammates, and help establish best practices for secure, compliant, and reliable data and AI solutions.

Qualifications

• Strong data engineering skills, including experience with data pipelines, ETL/ELT processes, and building data warehouses or data lakes.
• Applied data science capabilities, such as developing machine learning models, performing statistical analysis, and conducting exploratory data analysis.
• Proficiency with programming languages commonly used in data work (e.g., Python, SQL) and familiarity with modern data and ML frameworks or tools.
• Experience working with cloud platforms and related data services (e.g., AWS, Azure, or GCP) to design scalable, secure data architectures.
• Knowledge of governance, risk, and compliance (GRC) principles and the ability to incorporate data governance, security, and regulatory requirements into engineering and AI solutions.
• Strong problem-solving, communication, and collaboration skills, with the ability to work effectively in a hybrid environment and with cross-functional teams.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
• Experience supporting enterprise or Fortune 500 clients and working in AI or digital transformation projects is highly beneficial.