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Data Engineer
TrueTandem. Conduct discovery and assessment of customers’ legacy data sources, documenting data structures, dependencies, and data quality issues .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and migration, with a strong focus on ETL/ELT processes, data quality management, and Azure data services. Proficient in SQL and data modeling, with the ability to support analytics initiatives and ensure data governance in regulated environments.
Highest-signal resume keywords
Data EngineeringETL/ELT DevelopmentSQL ProficiencyMicrosoft Azure Data ServicesData Governance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data MigrationData CleansingData NormalizationData ValidationData ProfilingData Quality ChecksAPI IntegrationData ModelingAzure Data FactoryAzure Synapse
Soft Skills
CollaborationIndependent Work
Tools & Technologies
Power BIMicrosoft DataverseAzure Government Cloud
Certifications & Qualifications
Public Trust Clearance
Industry Keywords
Data GovernanceLegacy Data MigrationRegulated EnvironmentsAnalytics Reporting
Tech Stack
Tools & technologiesAzureCloudETLSQL
About the role
Key responsibilities & impact- Conduct discovery and assessment of customers’ legacy data sources, documenting data structures, dependencies, and data quality issues
- Perform data profiling to identify incomplete, duplicate, or inconsistent records before migration
- Design and execute ETL/ELT processes to migrate legacy data into Azure-based environments
- Cleanse, normalize, and standardize datasets
- Coordinate data migration timing with application teams for production deployments and go-live activities
- Validate migrated data through reconciliation checks and stakeholder review
- Implement data quality checks, validation rules, and exception handling
- Support data governance artifacts, including data definitions, standards, and transformation logic
- Prepare curated datasets for analytics and reporting use cases, including Power BI dashboards
- Support data synchronization and API-based data flows
- Develop and maintain technical documentation for data models, migration approaches, and data quality controls
- Contribute to monthly progress reporting and other contract deliverables
Requirements
What you’ll need- US Citizen with Public Trust clearance
- 5+ years of experience in data engineering, data migration, or ETL development
- SQL skills and experience working with relational data structures
- Experience cleansing, normalizing, and validating data
- Experience supporting data migrations from legacy applications or databases
- Ability to work independently and collaborate with application and analytics teams
- Hands-on experience with Microsoft Azure data services, preferably in Azure Government Cloud (MAG)
- Experience working with Microsoft Dataverse — tables, relationships, and data modeling
- Experience with Azure Data Factory and/or Synapse for ETL/ELT pipelines
- Preferred: Experience implementing API-based data sharing and integration patterns between systems
- Preferred: Experience supporting analytics or reporting initiatives (e.g., Power BI)
- Preferred: Familiarity with data governance concepts in regulated or government environments
- Preferred: Experience migrating data from Mendix or other low-code/legacy platforms
Benefits
Comp & perks- Health insurance coverage
- Dental and vision plans
- Life and disability insurance
- Company paid holidays
- Paid time off (PTO)
- Retirement plan with a variety of investment options