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.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • 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.
  • The site is refreshed daily to remove out-of-date content.
  • 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.
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Job Information

Lambdanets Inc. Data Engineer in Columbus, Ohio

  • Design data warehouse solutions by implementing a solid, robust, extensible data flow that supports key business logic flows.
  • Develop data transformations to populate data into a warehouse table structures for optimized reporting.
  • Establish efficient design and programming patterns for engineers and non-technical individuals.
  • Enable an innovative approach to data platforms to increase flexibility, scalability, and reliability of Solutions.
  • Design, integrate, and document technical components for seamless data extraction and analysis on big data platforms.
  • Work in a team environment, interact with multiple groups on a daily basis.
  • Work in cross-disciplinary teams to understand client needs and ingest rich data sources.
  • Analyze, test and defect fix solutions using big data technologies.
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