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Senior Data Engineer – Analytics, Applied AI
GuidehouseCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering and software engineering, with a strong focus on production-quality Python, AWS services, and data modeling. Proven ability to drive architecture decisions and implement data quality checks while leveraging applied AI/ML techniques.
Highest-signal resume keywords
Production-Quality PythonExpert SQLAWS Services (Glue, Step Functions, S3, Redshift, Aurora/RDS, Lambda, EventBridge, ECS/Fargate, IAM)Data Modeling ExpertiseInfrastructure as Code (Terraform or CDK)
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Own data platforms end to end, from source ingestion through transformation to analytics and application layers
- Write production Python and build services, APIs, tooling, and well-tested maintainable software
- Design and orchestrate AWS cloud data pipelines with scheduling, retries, data-quality gates, and clean failure handling
- Model data for analytics and application serving, including dimensional/fact modeling, grain decisions, slowly-changing dimensions, and idempotent recompute patterns
- Implement data-quality and reconciliation checks that gate publication
- Drive architecture and technical decisions independently and lead implementation with limited supervision
- Use agentic coding assistants to accelerate delivery while maintaining code quality and review discipline
- Grow into applied AI/ML, including entity resolution, LLM-assisted analytics, and anomaly/risk scoring
Requirements
What you’ll need- SIX (6+) years in data engineering and/or software engineering building and operating production systems
- University Degree and minimum SIX (6) years of prior relevant experience; FOUR (4) years of relevant experience may be substituted for formal education
- Strong software engineering skills: production-quality Python, clean architecture, testing, code review, and CI/CD
- Expert SQL, including window functions, complex joins, aggregation-grain reasoning, and query performance
- Hands-on experience with several AWS services, including Glue, Step Functions, S3, Redshift, Aurora/RDS, Lambda, EventBridge, ECS/Fargate, and IAM
- Data modeling expertise: dimensional/analytical modeling, grain, SCD, and idempotent recompute patterns
- Data-quality discipline: validating outputs, reconciling totals, and defending numbers
- Infrastructure as code using Terraform or CDK in a real project
- Proven ability to own systems and drive them to completion independently, with sound judgment on architecture and tradeoffs
- Demonstrated, effective use of agentic coding assistants in a real workflow
- Analytics fluency: profiling datasets, spotting anomalies, reasoning about metrics, and explaining discrepancies
- Must be able to obtain and maintain a Federal or DoD public trust
- Must obtain approved adjudication of public trust prior to onboarding with Guidehouse
- Applied AI/ML experience, agent frameworks, entity resolution/record linkage, API development, DuckDB/Parquet, data-lake table formats, and regulated or government data environment experience are nice to have
Benefits
Comp & perks- Medical, Rx, Dental & Vision Insurance
- Personal and Family Sick Time & Company Paid Holidays
- Parental Leave
- 401(k) Retirement Plan
- Group Term Life and Travel Assistance
- Voluntary Life and AD&D Insurance
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Employee Referral Program
- Corporate Sponsored Events & Community Outreach
- Care.com annual membership
- Employee Assistance Program
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
- Flexible benefits package
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 EngineeringSoftware EngineeringData Quality ChecksDimensional ModelingIdempotent RecomputationAnalytics FluencyCI/CDTestingClean ArchitectureAgentic Coding Assistants
Soft Skills
Independent Decision-MakingSound JudgmentEffective Communication
Tools & Technologies
TerraformCDKDuckDBParquet
Certifications & Qualifications
Federal or DoD Public Trust
Industry Keywords
Data PlatformsData PipelinesData Quality DisciplineEntity ResolutionRegulated Data Environment