Job Requirements
Washington, DC
Public Trust Polygraph Unspecified
Career Level not specified
Salary not specified
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Job Description
Job Title: Software Specialist VII - Data Quality & Analytics
Duration: 6 - 12 Months and Possible Extension
Work Location: 100% Remote
Salary Range: $60 - $70/Hour on W2 (Without Benefits)
Security Clearance: Ability to Obtain PUBLIC TRUST
Job Description:
Leidos is seeking a customer-focused Data Quality & Analytics Engineer to support enterprise data engineering, data quality, reporting, and analytics initiatives. This role combines data engineering, SQL optimization, ETL/ELT development, pipeline performance tuning, and Power BI optimization to improve data trust and business outcomes.
Key Responsibilities:
• Partner with SMEs and stakeholders to validate business rules and reporting requirements.
• Develop and optimize Azure Data Factory (ADF), Synapse, SQL MI, Fabric, Databricks, and SQL-based pipelines.
• Implement data profiling, reconciliation, monitoring, and data quality controls.
• Optimize SQL queries, stored procedures, views, indexing, and ETL performance.
• Develop monitoring, observability, data quality scorecards and automated alerts.
• Improve Power BI datasets, semantic models, DAX calculations, and report performance.
• Support root cause analysis and remediation of data quality issues.
• Perform source-to-target validation and data certification activities.
• Participate in peer reviews, testing, and release activities.
• Support metadata, lineage, governance, and data catalog initiatives.
• Support Agile DevOps, CI/CD, testing, deployment, and operational support.
• Drive continuous improvement across data and reporting platforms.
Required Qualifications:
• BS degree and 7+ years of relevant experience.
• Strong SQL/T-SQL development experience.
• Experience with Azure Data Lake, ADF, SQL MI, Synapse, Spark Notebooks, Fabric.
• Experience building ETL/ELT and data engineering and integration solutions.
• Experience with Power BI, DAX, and report optimization.
• Experience with data profiling, data quality, and reconciliation.
• Experience supporting production, test, and development environments.
• US Citizenship, active or ability to obtain Public Trust clearance.
Duration: 6 - 12 Months and Possible Extension
Work Location: 100% Remote
Salary Range: $60 - $70/Hour on W2 (Without Benefits)
Security Clearance: Ability to Obtain PUBLIC TRUST
Job Description:
Leidos is seeking a customer-focused Data Quality & Analytics Engineer to support enterprise data engineering, data quality, reporting, and analytics initiatives. This role combines data engineering, SQL optimization, ETL/ELT development, pipeline performance tuning, and Power BI optimization to improve data trust and business outcomes.
Key Responsibilities:
• Partner with SMEs and stakeholders to validate business rules and reporting requirements.
• Develop and optimize Azure Data Factory (ADF), Synapse, SQL MI, Fabric, Databricks, and SQL-based pipelines.
• Implement data profiling, reconciliation, monitoring, and data quality controls.
• Optimize SQL queries, stored procedures, views, indexing, and ETL performance.
• Develop monitoring, observability, data quality scorecards and automated alerts.
• Improve Power BI datasets, semantic models, DAX calculations, and report performance.
• Support root cause analysis and remediation of data quality issues.
• Perform source-to-target validation and data certification activities.
• Participate in peer reviews, testing, and release activities.
• Support metadata, lineage, governance, and data catalog initiatives.
• Support Agile DevOps, CI/CD, testing, deployment, and operational support.
• Drive continuous improvement across data and reporting platforms.
Required Qualifications:
• BS degree and 7+ years of relevant experience.
• Strong SQL/T-SQL development experience.
• Experience with Azure Data Lake, ADF, SQL MI, Synapse, Spark Notebooks, Fabric.
• Experience building ETL/ELT and data engineering and integration solutions.
• Experience with Power BI, DAX, and report optimization.
• Experience with data profiling, data quality, and reconciliation.
• Experience supporting production, test, and development environments.
• US Citizenship, active or ability to obtain Public Trust clearance.
group id: artech