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Salary
≈ $109k – $213k per year (Estimated)
Location
In office (Raleigh)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Oct 2, 2020. Hylaine scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Hylaine is a values-first technology consulting partner helping Fortune 1000 companies solve enterprise-scale challenges. From application development to data, AI, cloud, and advisory services, we deliver results with integrity and true partnership.

Position Description:

As a Senior Data Intelligence Consultant, you form the backbone of our consulting pool. You will be exposed to a little bit of everything, with a strong focus on databases, ETL, and data visualization tools.

What you'll Do: 

  • Solve challenging business and technical problems.
  • Design and develop BI strategies to include assisting with ETL, data modeling, data warehousing, cloud solutions, and building new reports and dashboards.
  • Grow in your career and enhance your technical abilities.

What you’ll need:

  • 5+ years of development experience.
  • Database development experience with a relational database (ideally Oracle or SQL Server).
  • Ability to build conceptual, logical and physical data models, data flows, and create data management.
  • Experience in Big Data/Data Warehousing at scale - Including but not limited to Hadoop, Snowflake, Google BigQuery, Azure Data Lakes, Azure Synapse Analytics, Amazon Redshift, AWS EMR
  • Some Cloud Experience in a major CSP (AWS, Azure, Google Cloud)
  • Strong written and verbal communication skills to work with our team and our clients.

Extra Credit: 

  • Agile methodologies and DevOps basics as they pertain to data
  • Cloud Technologies
    • Architecture basics of AWS, Azure or Google Cloud- i.e. compute, storage, and permissions
    • Understanding differences between VM and containers as well as knowledge of container orchestration technologies
  • Artificial Intelligence or Machine Learning
    • Including but not limited to R, Python, TensorFlow, PyTorch, AutoML, OpenML, Juila, Jupyter,
    • Understanding Data Warehouse vs Data Lake vs Lakehouse concepts and tradeoffs

This position is not eligible for visa sponsorship. To be considered, you must be legally authorized to work in the U.S. now and in the future without the need for sponsorship.

Our company participates in the U.S. Department of Homeland Security's E-Verify program to confirm the employment eligibility of all new hires. Upon hiring, you will complete Form I-9 and present acceptable documents for verification. We use E-Verify to ensure a legal workforce and prevent unauthorized employment, adhering strictly to anti-discrimination laws and protecting employee rights.

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