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Vidoori
Role & seniority: Data & Automation Engineer (mid-level; 3+ years’ relevant experience)
Stack/tools: Python, SQL; cloud data platforms (AWS preferred); BI tools (Power BI); APIs; SharePoint administration; Microsoft Power Platform (Power Apps, Power Automate); CI/CD basics; PostgreSQL; REST APIs
Design, build, and maintain data ingestion, transformation, and analytics workflows; develop analytical data models (facts, dimensions, KPIs)
Integrate data from multiple enterprise systems and APIs; build and maintain dashboards/reports (Power BI preferred)
Design lightweight automation/workflows (Power Apps, scripts, low-code tools); support data write-back and operational workflows; troubleshoot data quality and performance
Bachelor’s in CS/Engineering/Data Science or substantial equivalent
3+ years Python for data ingestion/analytics; solid SQL and analytical data modeling
Experience with cloud-based data platforms (AWS), BI dashboards (Power BI), and API/system integrations
PostgreSQL or similar relational DB; SharePoint admin experience; Power Platform familiarity (Power Apps, Power Automate)
REST API design/consumption; CI/CD, production data environments; exposure to data science, forecasting, or AI analytics
Location & work type: Hybrid (Maryland/Washington DC Area); US citizen; Full-time
Data & Automation Engineer Role Overview We are seeking a Data & Automation Engineer to design, build, and maintain data pipelines, analytics solutions, dashboards, and lightweight automation across enterprise systems. This role blends data engineering, analytics, and platform administration, with a strong emphasis on delivering practical, client-facing and internal solutions. You will work across cloud data platforms, business intelligence tools, APIs, and Microsoft ecosystem tools (Power BI, SharePoint, Power Apps) to turn fragmented data into reliable insights and efficient workflows. Key Responsibilities Design and implement data ingestion, transformation, and analytics workflows using Python and SQL Develop and maintain analytical data models, including facts, dimensions, and KPIs Integrate data from multiple enterprise systems and APIs (e.g., project management, finance, HR, DevOps, and SaaS platforms) Build and maintain dashboards and reports using modern BI tools (Power BI preferred) Administer and support SharePoint environments, including site structure, permissions, and data organization Design and implement lightweight automation and workflow solutions for internal teams and clients (e.g., Power Apps, scripts, or low-code tools) Support write-back or data input use cases where analytics and operational workflows intersect Collaborate with technical and non-technical stakeholders to understand requirements and deliver usable, well-documented solutions Participate in CI/CD practices, version control, and production data pipeline management Troubleshoot data quality, performance, and integration issues across systems Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, relevant technical field, or substantial equivalent experience. 3+ years of experience using Python or other major programming languages for data ingestion, transformation, and analytics workflows Solid SQL skills with experience designing analytical data models Experience integrating data from multiple enterprise systems and APIs Experience working with cloud-based data platforms (AWS preferred) Experience delivering dashboards and analytics using modern BI tools (Power BI preferred) Preferred Qualifications Experience with PostgreSQL or similar relational databases Familiarity with SharePoint administration and the Microsoft Power Platform (Power Apps, Power Automate) Experience designing or consuming REST APIs Exposure to CI/CD pipelines, version control, and production data environments Interest in or exposure to data science, forecasting, or AI-driven analytics Application Details
Location: Hybrid – Maryland/Washington DC Area
Residency: Must be a US Citizen
Employment Type: Full-time Why This Role This role is ideal for someone who enjoys owning end-to-end data and automation solutions — from ingestion to insight to operational workflow — and who is comfortable working directly with clients and internal stakeholders to solve real business problems.