Data Engineer / QA (SS22) Vaco LLC
Addison, TX3 days agoRemote
- $75–$110 Per Hour
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Skills
- AWS Lambdaunmatched
- Amazon Relational Database Service (RDS)unmatched
- Amazon Simple Storage Service (S3)unmatched
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Apacheunmatched
- Application Programming Interface (API)unmatched
- Architectural Analysisunmatched
- Artificial Intelligence (AI)unmatched
- Automationunmatched
- Best Practicesunmatched
- Business Intelligenceunmatched
- Business Intelligence Softwareunmatched
- Cloud Computingunmatched
- Cloud Storageunmatched
- Code Reviewsunmatched
- Communication Skillsunmatched
- Computer Programmingunmatched
- Computer Scienceunmatched
- Continuous Improvementunmatched
- Corrective Actionunmatched
- Cross-Functionalunmatched
- Customer Experienceunmatched
- DOMOunmatched
- Data Analysisunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Database Extract Transform and Load (ETL)unmatched
- Debugging Skillsunmatched
- Documentationunmatched
- Emerging Technologyunmatched
- Financeunmatched
- Gitunmatched
- GitHubunmatched
- Identify Issuesunmatched
- Information Technology & Information Systemsunmatched
- Leadershipunmatched
- Machine Learningunmatched
- Machine Toolunmatched
- Marketingunmatched
- Metadataunmatched
- Metricsunmatched
- Operational Auditunmatched
- Operational Strategyunmatched
- Operational Supportunmatched
- Operations Processesunmatched
- Performance Managementunmatched
- Performance Metricsunmatched
- Power BIunmatched
- Presentation/Verbal Skillsunmatched
- Problem Solving Skillsunmatched
- Product Supportunmatched
- Production Supportunmatched
- Production Systemsunmatched
- Productivity Managementunmatched
- Python Programming/Scripting Languageunmatched
- Quality Assuranceunmatched
- Query Optimizationunmatched
- Reporting Dashboardsunmatched
- Requirements Managementunmatched
- Root Cause Analysisunmatched
- SQL (Structured Query Language)unmatched
- Scalable System Developmentunmatched
- Software Engineeringunmatched
- Source Code/Configuration Management (SCM)unmatched
- Standards Developmentunmatched
- Stewardshipunmatched
- Supply Chain Operationsunmatched
- Tableauunmatched
- Team Playerunmatched
- Use Casesunmatched
- Workflow Analysisunmatched
- Writing Skillsunmatched
Description
Senior Data Engineer
Location: Plano, TX (Hybrid/Onsite as Applicable)
Employment Type: Full-Time
Reports To: Data & Analytics Leadership
Direct Reports: None
Position Summary
We are seeking a highly skilled Senior Data Engineer to help build, scale, and optimize a modern cloud-based data platform. This hands-on individual contributor role is responsible for designing, developing, and maintaining trusted data products that support analytics, reporting, business intelligence, machine learning, and future AI initiatives.
The ideal candidate combines deep technical expertise in data engineering and analytics engineering with a strong commitment to data quality, governance, and business partnership. This role will collaborate across multiple business functions to deliver scalable, reliable, and business-ready data solutions that drive strategic decision-making.
Key Responsibilities Analytics Engineering & Data Modeling
Data Governance & Data Management
Data Reliability & Operational Excellence
Python Development & Automation
AI & Emerging Technology Initiatives
Cross-Functional Collaboration
Qualifications Education
Experience
Technical Requirements Data Engineering & Analytics
Preferred Technologies
Experience with modern data platforms and tools including:
Preferred experience with:
Key Competencies
Preferred Candidate Profile
The ideal candidate is a highly technical data professional who enjoys building modern data platforms, establishing trusted enterprise data assets, and enabling scalable analytics capabilities. This individual thrives in a collaborative environment, embraces ownership, and is passionate about leveraging data to drive business value and future AI innovation.
Note: This position is not eligible for employment sponsorship now or in the future.
Location: Plano, TX (Hybrid/Onsite as Applicable)
Employment Type: Full-Time
Reports To: Data & Analytics Leadership
Direct Reports: None
Position Summary
We are seeking a highly skilled Senior Data Engineer to help build, scale, and optimize a modern cloud-based data platform. This hands-on individual contributor role is responsible for designing, developing, and maintaining trusted data products that support analytics, reporting, business intelligence, machine learning, and future AI initiatives.
The ideal candidate combines deep technical expertise in data engineering and analytics engineering with a strong commitment to data quality, governance, and business partnership. This role will collaborate across multiple business functions to deliver scalable, reliable, and business-ready data solutions that drive strategic decision-making.
Key Responsibilities Analytics Engineering & Data Modeling
- Design, develop, and maintain scalable data transformation frameworks and models.
- Build and optimize dimensional, semantic, and analytics-focused data models for enterprise reporting and self-service analytics.
- Develop and maintain reusable, business-ready datasets and data products.
- Write, optimize, and maintain complex SQL transformations across large-scale datasets.
- Implement testing, documentation, lineage tracking, and monitoring to ensure data quality and reliability.
- Promote analytics engineering best practices and standards across the organization.
Data Governance & Data Management
- Partner with business stakeholders to define, document, and maintain enterprise KPIs, metrics, and business definitions.
- Establish consistency across reporting, dashboards, operational analytics, and self-service reporting environments.
- Serve as the bridge between technical and business teams to ensure alignment on critical business concepts and reporting requirements.
- Support metadata management, data lineage, stewardship, ownership, and certification of trusted data assets.
- Champion data governance standards, naming conventions, documentation practices, and data quality initiatives.
- Assist in establishing scalable frameworks for managing enterprise data as a strategic asset.
Data Reliability & Operational Excellence
- Own data products and pipelines from design through deployment, monitoring, support, and continuous improvement.
- Implement automated data quality controls, validation frameworks, and observability standards.
- Define and monitor service-level expectations for critical data assets and processes.
- Investigate production issues, perform root-cause analysis, and implement corrective actions.
- Continuously improve platform performance, scalability, and operational efficiency.
Python Development & Automation
- Develop Python-based tools and frameworks for automation, data quality validation, and platform operations.
- Build integrations with internal and external systems through APIs and automated workflows.
- Create solutions that improve productivity and reduce manual effort.
- Support troubleshooting, debugging, and optimization of production data pipelines and workflows.
AI & Emerging Technology Initiatives
- Prepare enterprise data assets to support future AI, machine learning, and advanced analytics use cases.
- Explore opportunities to leverage AI-assisted development and analytics workflows.
- Support initiatives involving semantic models, retrieval-based architectures, intelligent automation, and AI-powered analytics.
- Evaluate emerging technologies and industry best practices within data engineering and analytics.
Cross-Functional Collaboration
- Partner with stakeholders across Finance, Marketing, Operations, Supply Chain, Customer Experience, Digital, and other business functions.
- Translate business requirements into scalable data models and data products.
- Support analysts and business users by delivering reliable, accessible, and well-documented datasets.
- Communicate effectively with both technical and non-technical audiences.
Qualifications Education
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Data Science, or a related field.
- Equivalent combination of education and relevant experience will be considered.
Experience
- 7+ years of experience in Data Engineering, Analytics Engineering, Software Engineering, or related technical disciplines.
- Experience designing, building, and optimizing large-scale cloud-based data platforms.
- Proven experience supporting production data environments and operational support processes.
- Experience developing enterprise analytics, reporting, and self-service data solutions.
Technical Requirements Data Engineering & Analytics
- Expert-level SQL development and query optimization skills.
- Extensive experience designing and implementing dimensional and semantic data models.
- Deep understanding of modern ELT/ETL architectures and analytics engineering principles.
- Experience with Git-based development workflows, version control, and code review processes.
- Strong Python programming skills for data processing, automation, APIs, and platform tooling.
- Experience developing reusable frameworks and operational utilities.
- Experience establishing business metrics, KPI definitions, and data standards.
- Strong understanding of metadata management, data lineage, stewardship, and data quality principles.
- Experience participating in enterprise data governance initiatives.
Preferred Technologies
Experience with modern data platforms and tools including:
- Snowflake
- dbt
- AWS
- Apache Airflow / Astronomer
- GitHub
- Fivetran
- RudderStack
- Atlan, Collibra, or similar governance platforms
- Power BI, Domo, Omni, Tableau, or similar business intelligence tools
Preferred experience with:
- Amazon S3
- Amazon RDS
- AWS Lambda
- Cloud storage, processing, and integration services
Key Competencies
- Strong ownership mentality with the ability to drive initiatives from concept through production.
- Exceptional analytical and problem-solving abilities.
- Passion for delivering trusted, high-quality data products.
- Ability to navigate ambiguity and solve complex business problems.
- Strong collaboration and stakeholder management skills.
- Excellent verbal and written communication skills.
- Continuous improvement mindset with a focus on innovation and operational excellence.
- Ability to balance technical rigor with business impact.
Preferred Candidate Profile
The ideal candidate is a highly technical data professional who enjoys building modern data platforms, establishing trusted enterprise data assets, and enabling scalable analytics capabilities. This individual thrives in a collaborative environment, embraces ownership, and is passionate about leveraging data to drive business value and future AI innovation.
Note: This position is not eligible for employment sponsorship now or in the future.
Numbers & Facts
| Location | Plano, TX |
| Industry | Staffing/Employment Agencies |
| Company Size | 500 to 999 employees |
| Year Founded | 2006 |
About Company
The Intersect Group is a different and better business partner. We create unparalleled value for our clients by combining industry-leading Consulting capabilities with comprehensive Staffing and recruitment services. Clients trust us to deliver results based on our deep expertise and proven resources within finance, accounting, and information technology. Through our flexible delivery approach, you get the right solution, at the right time to accelerate your success and achieve all of your mission-critical objectives.
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