Data Intelligence Consultant
Hylaine
•
Atlanta, GA
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0
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Mid-Senior level
Posted March 14, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- 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.
Commitments
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- 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.
- 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 and knowledge of container orchestration technologies
- Artificial Intelligence or Machine Learning
- Including but not limited to R, python, TensorFlow, PyTorch, AutoML, OpenML, Juila, Jupyter,
- To be considered, you must be legally authorized to work in the U.S. now and in the future without the need for sponsorship.
Preferred Skills
- 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 and 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.
Education
- (Not required) – Extra Credit:
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 and 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.
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 and 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.