Highlights
In this role, you will design and build scalable data pipelines, develop robust APIs and data services, and collaborate closely with data scientists, analysts, and engineering teams to deliver high-quality data infrastructure and applications that powers critical business decisions —helping shape the future of manufacturing through technology and AI. As we modernize our operations and unlock the power of data across our business, we are seeking a skilled and driven Data Engineer to join our growing AI team.
Numbers & Facts
| Location | PA, PA (Remote) |
| Industry | Staffing/Employment Agencies |
| Salary | $43.95 |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | http://www.lancesoft.com/ |
Description
RoleData Conversion Analyst ILocationRemote (100%) United StatesDuration12+ Months (Possibilities of Extension)Pay Rate$24.83 - $43.95/Hr. On W2 (Without Benefits)Shift1st Shift
Job Description:
We are a steel manufacturing company embarking on an exciting digital and AI transformation journey. As we modernize our operations and unlock the power of data across our business, we are seeking a skilled and driven Data Engineer to join our growing AI team. In this role, you will design and build scalable data pipelines, develop robust APIs and data services, and collaborate closely with data scientists, analysts, and engineering teams to deliver high-quality data infrastructure and applications that powers critical business decisions —helping shape the future of manufacturing through technology and AI.
Required Qualifications:
Preferred Qualifications:
What You'll Do:
Job Description:
We are a steel manufacturing company embarking on an exciting digital and AI transformation journey. As we modernize our operations and unlock the power of data across our business, we are seeking a skilled and driven Data Engineer to join our growing AI team. In this role, you will design and build scalable data pipelines, develop robust APIs and data services, and collaborate closely with data scientists, analysts, and engineering teams to deliver high-quality data infrastructure and applications that powers critical business decisions —helping shape the future of manufacturing through technology and AI.
Required Qualifications:
- Strong Python development experience. 3+ years.
- Hands-on experience with PySpark and Pandas. 3+ years.
- Experience designing, building, and maintaining data pipelines 3+ years.
- Experience in architecture and developing REST APIs and data services.
- Strong SQL skills (Oracle preferred;experience with any major relational database is acceptable) 3+ years.
Preferred Qualifications:
- Experience with cloud storage platforms such as OCI, Azure, GCP, AWS, or similar.
- Experience working in Linux environments.
- Familiarity with the Hadoop ecosystem and distributed data processing frameworks.
- Experience with Databricks.
What You'll Do:
- Design, and build reliable, scalable data pipelines to support analytics and operational workloads.
- Develop and maintain REST APIs and data services to expose data assets to downstream consumers.
- Work with large datasets using PySpark, Pandas, and Databricks to transform and process data at scale.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions in the AI space.
- Ensure data quality, integrity, and security across the applications being developed.
- Document data architectures, pipelines, and processes for team knowledge sharing.
About Company
We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.
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