Scale Army Careers - Implementation Data Engineer
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Requirements
• Have reviewed or lightly modified existing dbt projects • Have built models, tests, and documentation in dbt as part of production workflows • Have designed and maintained large-scale dbt projects, including performance optimization and best practices • Dagster and other orchestration tools (Airflow, Prefect, etc.) • I have not used AI-assisted tools in my workflow • I have experimented with them but don't use them regularly • I use them occasionally to assist with specific tasks • I actively use them as a core part of my day-to-day engineering workflow • Continue development and address the issue after launch • Wait until the next stakeholder meeting to mention it • Surface the issue immediately, assess impact, propose a solution, and update the timeline if needed • Escalate the issue without investigating potential root causes • Select all that apply. • None of the above • A newly signed client needs to be onboarded within three weeks. Their data comes from Shopify, Meta Ads, and Google Ads, and some source data is inconsistent. How would you approach designing, testing, and delivering the implementation while keeping stakeholders informed? • Describe the data sources involved, the tools you used (Python, dbt, orchestration, etc.), any challenges you encountered, and what the final outcome was. • Your provided rate will be shared with clients. Changing it later may disqualify you. The job description contains the role's budget. • Select the tools you are comfortable using to manage projects, assign tasks, or track progress. • Google Workspace (Chat & Meet) • Choose the CRM platforms you’re familiar with for managing contacts, tracking sales, and organizing customer data. • Select the tools you’ve used to design, create content, or run marketing campaigns. • ActiveCampaign/Brevo/Kalviyo/MailChimp • Adobe After Effects • Adobe Illustrator • Adobe Photoshop • Adobe Premiere Pro • Buffer / Hootsuite • Google Analytics (GA4) • Meta Ads Manager • Meta Business Suite (Facebook/Instagram Ads Manager) • Select the programming languages and frameworks you’re skilled in for building and enhancing web applications. • AWS / Azure / Google Cloud Platform (GCP) • Google Cloud Platform (GCP) • Python (Django / Flask)
Responsibilities
• Client Onboarding & Pipeline Development • Build and maintain scalable, fault-tolerant ELT pipelines for new client onboarding using Python • Develop and optimize dbt models, tests, and documentation following analytics engineering best practices • Orchestrate and monitor onboarding workflows using Dagster • Model clean, analytics-ready datasets for BI, forecasting, and ML feature consumption • Data Quality & Observability • Implement and maintain data quality checks and testing strategies throughout the onboarding lifecycle • Troubleshoot pipeline failures, performance issues, and data inconsistencies during onboarding • Monitor pipeline health using observability tools and metrics • Cross-Functional Collaboration • Partner with the Implementation Project Manager to provide realistic engineering ETAs, surface blockers early, and keep work visible in Jira • Collaborate with Data Science to ensure forecasting and AI feature data lands correctly and on time • Write clear, concise status updates that stakeholders can act on without rewriting • Handoff, Documentation & Continuous Improvement • Hand off completed onboardings to the core Data Engineering team with documentation, runbooks, and monitoring in place • Support data source re-authentications, migrations, and net-new API additions on live accounts • Contribute to refactoring and improvement of onboarding pipeline templates and patterns as the platform evolves • Follow established team standards for SLAs, code quality, and deployments
Benefits
• $2.5K – $3.5K per month • Final compensation is set after evaluating experience and location. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • Please enter your full legal name as it appears on official documents. • The email you provide must be the same one you use to send your video. • Please share your phone number with the country code (e.g., +27 for South Africa, +20 for Egypt, +52 for Mexico). If it works for both WhatsApp and calls, even better. • Boost your chances! Please submit your resume in English and PDF format; otherwise, it will not be considered. Make sure it includes all tools you’ve mastered and fields you’ve worked in. • English and PDF format; • tools • or drag and drop here • 1 year - 3 years • 4 years - 6 years • 7 years - 9 years • 10 years - 15+ years • Briefly share the tools you use, key use cases, any experience with automation, and how AI has improved your efficiency or output.
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