Junior Data Analytics Engineer

Cardinal Technology Systems, Corp.•Ashburn, VA

1d•Onsite

About The Position

Cardinal Technology Systems Corp. is a government IT solutions provider servicing commercial and government initiative in various parts of the United States. We are currently seeking a Jr. Data Analytics Engineer to work for our company. Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies) Assist in the design, development, and deployment of reports, dashboards, and data visualizations using business intelligence (BI) tools such as SAP Business Objects or similar platforms. Collaborate with data engineering teams to support the use of dimensional models, including fact and dimension tables (star/snowflake schemas), for reporting. Write and maintain SQL queries within Oracle and Databricks environments to extract and prepare data for reporting applications. Work with business analysts and stakeholders to help gather requirements, translate business needs into technical specifications, and support the delivery of reporting solutions. Assist in monitoring and improving the performance of reports and underlying queries to help ensure a reliable and user-friendly experience. Gain exposure to and support the use of AWS services (e.g., S3, EMR, Redshift, Glue) for cloud-based reporting solutions. Support the management of reporting assets, including documentation, version control, scheduled refreshes, and ongoing maintenance and enhancements.

Requirements

Must possess DoD Top Secret, DHS EOD, CBP Full BI, or IT-I security clearance or have a current Single Scope Background Investigation (SSBI). (Basic Federal Clearance requirements are U.S. Citizenship, clear criminal history check, no recent or pending bankruptcies)
Bachelor’s degree in computer science or related engineering field.
1-3 (maximum of 5 years) of hands-on experience with SQL programming.
1-3 (maximum of 5 years) of experience with at least one major BI platform, (e.g. PowerBI, Tableau, Qlik).
Experience with performing data analysis and interpreting results.
Conceptual understanding of data warehousing concepts and dimensional modeling, including a clear ability to articulate the difference and use cases for star vs. snowflake schemas.
High level of self-motivation, willingness to learn new technologies and work in a distributed team environment.
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.

Nice To Haves

1-3 years of experience in dedicated reporting, business intelligence, or data analytics role.
Experience developing reports and running queries within a Databricks environment (using notebooks, SQL Warehouses, etc.).
Familiarity with navigating the AWS ecosystem, specifically with services related to data storage and access like S3 and IAM.
AWS Certification (e.g. AWS Certified Data Analytics – Specialty or Solutions Architect).
Proficiency in a scripting language, particularly Python (Pandas, Pyspark) for data manipulation or automation.
Strong communication skills with ability to present technical findings to non-technical stakeholders.

Responsibilities

Assist in the design, development, and deployment of reports, dashboards, and data visualizations using business intelligence (BI) tools such as SAP Business Objects or similar platforms.
Collaborate with data engineering teams to support the use of dimensional models, including fact and dimension tables (star/snowflake schemas), for reporting.
Write and maintain SQL queries within Oracle and Databricks environments to extract and prepare data for reporting applications.
Work with business analysts and stakeholders to help gather requirements, translate business needs into technical specifications, and support the delivery of reporting solutions.
Assist in monitoring and improving the performance of reports and underlying queries to help ensure a reliable and user-friendly experience.
Gain exposure to and support the use of AWS services (e.g., S3, EMR, Redshift, Glue) for cloud-based reporting solutions.
Support the management of reporting assets, including documentation, version control, scheduled refreshes, and ongoing maintenance and enhancements.