Employment type - W2 CONTRACT
- 3 positions
- Principal Data engineer - Detroit, MI - onsite
- Manager Data engineer - Detroit, MI - onsite
- Senior Data engineer - Milwaukee, WI - hybrid
The Skills You Bring
- • Bachelor’s degree in Computer Science, Information Systems, or a related field; advanced degree preferred.
- • 10+ years of progressive experience in data engineering, including deep expertise in analytics-focused data warehouse environments such as Snowflake.
- • Extensive hands-on experience designing and delivering cloud-based data solutions on AWS, including services such as S3, AWS CLI, Lambda, and DynamoDB.
- • Strong experience with modern data engineering and integration tools such as dbt, Qlik Replicate, InfoSphere DataStage, and CP4D.
- • Deep expertise in data modeling, including Data Vault, and in designing scalable, auditable, and resilient data structures that support enterprise analytics, reporting, and AI use cases.
- • Proven experience architecting and optimizing large-scale data ingestion, transformation, cleansing, standardization, and deduplication processes across complex data environments.
- • Strong programming and automation skills in Python and other scripting languages used to support enterprise data engineering solutions.
- • Demonstrated experience leading the design and implementation of enterprise data pipelines using Git, DevOps practices, and modern software engineering approaches.
- • Strong background in large-scale data integration, API development, and data migration across distributed systems and platforms.
- • Deep understanding of data governance, data management, metadata, lineage, and data security, with the ability to embed these practices into engineering solutions.
- • Proven ability to lead end-to-end solution delivery, working independently while providing technical direction across multiple initiatives and technologies.
- • Demonstrated success establishing and enforcing engineering, design, and operational standards across teams and platforms.
- • Ability to evaluate emerging tools, technologies, and architectural approaches, and recommend scalable solutions that improve performance, maintainability, and long-term supportability.
- • Proven ability to influence, advise, and partner effectively with senior business and technology stakeholders to identify strategic challenges, assess options, and recommend solutions.
- • Strong track record of mentoring engineers, promoting engineering excellence, and contributing to high-performing teams.
- • Extensive experience across the full software development lifecycle, including architecture, design, implementation, testing, deployment, and operational support.
- • Knowledge of the insurance business data domain is a major plus, including familiarity with insurance data concepts, business processes, and analytics use cases.
- • Ability to design trusted, high-quality data foundations that enable advanced analytics, machine learning, and AI-driven business capabilities.
- • Strong problem-solving, communication, and leadership skills, with the ability to translate complex technical concepts into practical business solutions.
Work Authorization
Applicants must be legally authorized to work in the United States.
Equal Employment Opportunity
Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
Thank you
- Vinod
- [email protected]
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Senior Data Engineer
Themesoft Inc.
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