Sr. Data Engineer

Associate Staffing LLC; Des Moines (IA); On-site; USD 90,000 - 150,000; Full time

Job summary

Associate Staffing LLC in Des Moines, IA seeks a senior data engineer to join our financial services client. You will support data engineering, analytics, and reporting initiatives, helping to design and optimize data management processes, including acquisition, transformation, quality, analysis, and visualization.

You will collaborate with business, analytics, and technology teams to integrate data from multiple sources, develop scalable data solutions, and enable informed decision-making

Qualifications

• Bachelor's degree and 6+ years of relevant experience
• -

Responsibilities

• Support data engineering, analytics, and reporting initiatives to address business needs and improve operational effectiveness.
• Contribute to the design, development, maintenance, and optimization of data management processes, including data acquisition, transformation, quality management, analysis, and visualization.
• Collaborate with business, analytics, and technology teams to integrate data from multiple sources and deliver actionable insights.
• Develop and support scalable data solutions, pipelines, and platforms that enable reporting, analytics, and decision-making.
• Participate in the full lifecycle of data and technology solutions, including design, development, testing, implementation, and support.
• Work independently and collaboratively across multiple layers of technology solutions to deliver business value.
• Assist in identifying opportunities to improve data quality, accessibility, governance, and operational efficiency.

Skills

Bachelor's degree

6+ years experience

Leadership

Communication skills

Analytical mindset

SQL

Python

Java

Data modeling

Data pipelines

BI reporting tools

Data integration

Cloud platforms

AWS

Education

Bachelor's degree in related field

Master's degree

Tools

AWS

ETL tools

Data integration tools

BI tools

Job description

Who we are:

Our client is a financial services corporation offering a various suite of products.

Qualifications

• Bachelor's degree and 6+ years of relevant experience, or a Master's degree in a related field.
• Experience working in technology, data, analytics, or related disciplines.
• Demonstrated leadership, collaboration, and presentation skills.
• Knowledge of business operations, products, services, and industry processes is a plus.
• Experience working with data and databases using programming languages and tools such as SQL, Python, Java, or similar technologies.
• Understanding of data modeling concepts, data structures, and scalable data solutions.
• Experience preparing, transforming, and optimizing data for reporting, analytics, and advanced analytical use cases.
• Familiarity with building and supporting data pipelines, integration processes, and large-scale data environments.
• Experience with business intelligence, reporting, and visualization tools.
• Ability to integrate, manage, and leverage data from multiple sources to support business objectives.
• Strong analytical, problem‑solving, organizational, communication, and decision‑making skills.
• Effective time management and the ability to manage multiple priorities.
• Ability to work collaboratively across teams and communicate technical concepts to both technical and non‑technical audiences.
• Ability to handle sensitive information with professionalism and discretion.
• Participation in support or on‑call activities may be required based on business needs.

Tools & Technologies

• Business Intelligence and Reporting Tools
• Programming Languages (e.g., Python, SQL)
• Cloud Platforms (e.g., AWS)
• Data Integration and Analytics Technologies

Responsibilities

• Support data engineering, analytics, and reporting initiatives to address business needs and improve operational effectiveness.
• Contribute to the design, development, maintenance, and optimization of data management processes, including data acquisition, transformation, quality management, analysis, and visualization.
• Collaborate with business, analytics, and technology teams to integrate data from multiple sources and deliver actionable insights.
• Develop and support scalable data solutions, pipelines, and platforms that enable reporting, analytics, and decision‑making.
• Participate in the full lifecycle of data and technology solutions, including design, development, testing, implementation, and support.
• Work independently and collaboratively across multiple layers of technology solutions to deliver business value.
• Assist in identifying opportunities to improve data quality, accessibility, governance, and operational efficiency.

Equal Opportunity Employer:

Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.