SuperStaff
Outsourcing/Offshoring
DataEngineer
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Engineer at SuperStaff. Skills: Data Engineering, ETL, Python, SQL. Build Python/SQL pipelines. Ingest invoices, orders, catalogs”
What You'll Achieve.
Deliver high-quality solutions; Ensure real-time data flow; Own project milestones from kickoff to Go Live
Industry & Context.
Troubleshoot data issues; Debug data discrepancies
What They're Looking For.
Must Have
2 years of experience in data engineering, SQL skills for data analysis, Proficiency in Python scripting, Familiarity with cloud platforms, Understanding of REST APIs, Understanding of JSON/CSV data formats, Understanding of Git workflows, Communication skills
Nice to Have
Experience with workflow orchestration tools, Familiarity with integration platforms, Exposure to CRM tools, Knowledge of eCommerce data models, Knowledge of sales data models
What You'll Do.
Build Python/SQL pipelines
Perform historical backfills
Set up product filtering logic
Set up sales workflows
Manage user provisioning
Leverage AI coding assistants
Accelerate Python/SQL script generation
Accelerate data mapping
Act as technical point of contact
Translate complex data issues
Own project milestones
Build Workato recipes
Connect customer ERPs
Ensure real-time data flow
Triage HubSpot support tickets
Debug data discrepancies
Deploy production fixes
Maintain customer data mappings
Maintain internal technical runbooks
How You'll Work.
Team & Collaboration
Professional Services team; Customer Success Managers
Communication Scope
Explain technical concepts
Process & Methodology
Project milestones
Full Job Description
The Data Engineer will be part of the Professional Services team, You'll work directly on customer implementations for our B2B sales intelligence platform, helping wholesale distributors get the most out of their data. This is a hands-on role where you'll build data pipelines, configure customer instances, troubleshoot data issues, and collaborate with Customer Success Managers to deliver high-quality solutions. **Key Responsibilities:** * Data Ingestion & ETL: Build Python/SQL pipelines to ingest invoices, orders, and catalogs. * Perform historical backfills via SFTP/API and manage Airflow DAGs. * Instance Configuration: Set up custom fields, product filtering logic, and sales workflows. * Manage SSO and user provisioning for new rollouts. * AI-Augmented Engineering: Leverage AI coding assistants (Copilot, Cursor) and LLMs to accelerate Python/SQL script generation, data mapping, and debugging. Build ETL pipelines and manage Airflow DAGs. * Customer Communication & Projects: Act as a technical point of contact. Translate complex data issues into clear updates for customers. Own project milestones from kickoff to "Go Live." * Integration & Automation: Build Workato recipes and connect customer ERPs via * APIs/webhooks to ensure real-time data flow. * QA & Troubleshooting: Triage HubSpot support tickets, debug data discrepancies in large data sets, and deploy production fixes. * Documentation: Maintain customer data mappings and internal technical runbooks. **Requirements** * Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience) * At least 2 years of experience in data engineering, ETL, or related roles * Strong SQL skills for data analysis and validation • Proficiency in Python scripting for data processing * Familiarity with cloud platforms, preferably GCP (e.g., Cloud Storage, Cloud Functions) * Understanding of REST APIs, JSON/CSV data formats, and Git workflows * Strong communication skills with the ability to
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