Expedient Holdings USA, LLC
Summary
Join Expedient's AI CTRL product team as a Data Engineer, where you'll transform complex, unstructured datasets into clean, AI-ready data for enterprise clients. Working on-site in Cleveland, you'll play a critical role in ensuring client data drives accurate AI/ML decision-making within our enterprise cloud environment
Key Responsibilities
Transform Data for AI : Ingest, structure, and cleanse large unstructured datasets, making them suitable for AI/ML model training and analysis
Build Data Pipelines : Design and maintain scalable ETL workflows that integrate data from diverse sources into our AI platform
Ensure Data Quality : Implement validation and cleansing processes that directly impact AI model accuracy
Collaborate Cross-Functionally : Work closely with our Agentic AI professional services team and Solution Architects to meet AI use-case requirements
Engage with Clients : Explain complex data concepts in simple terms, helping stakeholders understand how quality data drives better AI outcomes
Optimize & Innovate : Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies
Qualifications
Experience : 5+ years designing and building data pipelines and ETL processes in production environments
Technical Expertise : Proficiency in Python, SQL, and ETL frameworks (Apache Airflow, AWS Glue, etc.); strong knowledge of SQL/NoSQL databases; experience with unstructured data transformation; familiarity with big data frameworks and AI/ML concepts
Key Attributes : Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data
Education : Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)
Location : Cleveland, Ohio office. On-site role, regional travel may be required. Salary
for this position will be based on your experience and your skills. Estimated salary range is $125,000 to $175,000 annually.
WORKING FOR EXPEDIENT
We prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%. For our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match. We also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.
Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.
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Key Responsibilities
Transform Data for AI : Ingest, structure, and cleanse large unstructured datasets, making them suitable for AI/ML model training and analysis
Build Data Pipelines : Design and maintain scalable ETL workflows that integrate data from diverse sources into our AI platform
Ensure Data Quality : Implement validation and cleansing processes that directly impact AI model accuracy
Collaborate Cross-Functionally : Work closely with our Agentic AI professional services team and Solution Architects to meet AI use-case requirements
Engage with Clients : Explain complex data concepts in simple terms, helping stakeholders understand how quality data drives better AI outcomes
Optimize & Innovate : Troubleshoot pipeline issues, enhance performance, and stay current with emerging data engineering technologies
Qualifications
Experience : 5+ years designing and building data pipelines and ETL processes in production environments
Technical Expertise : Proficiency in Python, SQL, and ETL frameworks (Apache Airflow, AWS Glue, etc.); strong knowledge of SQL/NoSQL databases; experience with unstructured data transformation; familiarity with big data frameworks and AI/ML concepts
Key Attributes : Adaptable in fast-paced environments, strong ownership mentality, entrepreneurial mindset, excellent communicator, passionate about solving business problems with data
Education : Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)
Location : Cleveland, Ohio office. On-site role, regional travel may be required. Salary
for this position will be based on your experience and your skills. Estimated salary range is $125,000 to $175,000 annually.
WORKING FOR EXPEDIENT
We prioritize ongoing education and continuous innovation to remain at the forefront of the information technology landscape. Our commitment to learning is reflected in our comprehensive employee training and tuition reimbursement programs, which are driven by our employees and funded by Expedient 100%. For our full-time employees we offer an exceptional benefits package including three weeks of paid time off annually that increases with tenure plus your birthday off and a health holiday to be used for preventive care. We offer parental leave, top-tier medical, dental, and vision, disability and life insurance, at an affordable rate, wellness engagement opportunities, and a 401(k) with a generous match. We also recognize the importance of a comfortable and convenient work environment. We offer a hybrid work model for many roles, paid parking and other perks.
Expedient is an equal opportunity employer. Qualified applicants will receive fair and equitable consideration for employment without regard to their race, color, religion, national origin, gender, protected veteran status, disability, or any other characteristic protected by law.
#J-18808-Ljbffr