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  • The site is refreshed daily to remove out-of-date content.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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US Tech Solutions Principal Data Engineer in Parsippany, New Jersey

Responsibilities:

  • Work closely with cross-functional teams, including product managers, data scientists and engineers to understand project requirements and objectives ensuring alignment with overall business goals.

  • Build data ingestion framework and data pipelines to ingest unstructured and structured data from various data sources such as SharePoint, Confluence, Chat Bots, Jira, External Sites, etc. into our existing OneData platform.

  • Design a scalable target state architecture for data processing-based on document content (Data types may include, but are not limited to: XML, HTML, DOC, PDF, XLS, JPEG, TIFF, and PPT) including PII/CII handling, policy-based hierarchy rules and Metadata tagging.

  • Design, development, and deployment of optimal data pipelines including incremental data ingestion strategy by taking advantage of leading-edge technologies through experimentation and iterative refinement.

  • Design and implement vector databases to efficiently store and retrieve high-dimensional vectors.

  • Conducting research to stay up to date with the latest advancements in generative AI services and identify opportunities to integrate them into our products and services.

  • Implement data quality and validation checks to ensure accuracy and consistency of data.

  • Build automation that effectively and repeatably ensures quality, security, integrity, and maintainability of our solutions.

  • Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues.

  • Define and implement data access policies; implement and maintain data security measures and access policies for cloud storage buckets and vector databases.

Experience:

  • 10+ years relevant industry and functional experience in Database and Cloud-based technologies

  • Experience in working with Machine learning and AI concepts related to RAG architecture, LLMSs, embedding and data insertion into a Vector data store.

  • Experience in building data ingestion pipelines for Structured and Unstructured data both for storage and optimal retrieval

  • Experience working with Cloud data stores, noSQL, Graph and Vector databases.Proficiency with languages such as Python, SQL, and PySpark

  • Experience working with Databricks and Snowflake technologies.

  • Experience with relevant code repository and project tools such as GitHub, JIRA and Confluence

  • Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace.

  • Highly innovative with aptitude for foresight, systems thinking and design thinking, with a bias towards simplifying processes.

  • Detail oriented individual with strong analytical, problem-solving, and organizational skills

  • Ability to clearly communicate to both technical and business teams.LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake,

Education:

  • Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com (http://www.ustechsolutionsinc.com/) .

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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