Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Motion Recruitment Partners DBT / QlikSense / ETL / remote / contract in Philadelphia, Pennsylvania

DBT / QlikSense / ETL / remote / contract

Philadelphia, PA

100% Remote

Contract

$70/hr - $85/hr

A leading children's hospital dedicated to pediatric research, where you will play a pivotal role as a DBT Data Engineer. Leveraging your expertise in dbt (Data Build Tool), data modeling, Snowflake, and QlikSense, you will collaborate with a multidisciplinary team to design and implement efficient data transformation pipelines. Your work will directly contribute to advancing pediatric research initiatives, ensuring accurate and timely data insights that drive critical decision-making processes.

Required Skills and Experience:

  • Proficiency with dbt (Data Build Tool) for data transformation and modeling.

  • Strong background in data modeling techniques and practices.

  • Experience working with Snowflake data warehouse platform.

  • Familiarity with QlikSense

What You Will be Doing:

  • Collaborate with data analysts, engineers, and stakeholders to understand data requirements and design efficient data models.

  • Develop and implement data transformation pipelines using dbt to streamline data processing and ensure data accuracy.

  • Optimize and maintain existing dbt models and workflows for scalability and performance.

  • Work closely with the data engineering team to integrate dbt processes into the overall data infrastructure.

  • Provide support and troubleshooting for dbt-related issues and performance bottlenecks.

The Offer:

  • Competitive salary based on experience and qualifications.

  • Comprehensive benefits package including health insurance, retirement plans, and more.

  • Opportunity to work with cutting-edge data technologies in a dynamic and collaborative environment.

  • Professional development opportunities to enhance skills and expertise in data engineering and analytics.

You will receive the following benefits:

  • Medical Insurance - Four medical plans to choose from for you and your family

  • Dental & Orthodontia Benefits

  • Vision Benefits

  • Health Savings Account (HSA)

  • Health and Dependent Care Flexible Spending Accounts

  • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance

  • Hospital Indemnity Insurance

  • 401(k) including match with pre and post-tax options

  • Paid Sick Time Leave

  • Legal and Identity Protection Plans

  • Pre-tax Commuter Benefit

  • 529 College Saver Plan

Motion Recruitment Partners is an Equal Opportunity Employer, including Veterans/Disability/Women. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Accommodation will be provided in all parts of the hiring process as required under Motion Recruitment Employment Accommodation policy. Applicants need to make their needs known in advance.

Posted by: Kate Cascaden

Specialization: Data Engineering

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