Summary
✨ AI‑Generated
Lead the engineering of scalable, data-centric products combining full-stack software development, data platforms, and AI-assisted delivery. Build Python services and pipelines, develop ETL/ELT workflows, optimize analytical processing, and define modern cloud-native data architectures using established orchestration and transformation practices.
Highlights
Fully remote work from anywhere in Armenia, leadership responsibility across software and data engineering, and the opportunity to design cloud-native systems and scalable data products for analytics and enterprise decision-making.
Description
We are seeking a Lead Full-Stack Engineer (Python Data) to build scalable, data-centric products that support global consulting and advisory services.
You will lead work across software engineering, data platforms and AI-assisted delivery, shaping systems for analytics, reporting and enterprise decision-making.
Help us design cloud-native Azure solutions and robust pipelines—apply now!
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
Responsibilities
Design and deliver Python services and data pipelines using FastAPI and background jobsBuild and tune data processing and reporting components with Pandas, Polars, DuckDB and openpyxlDevelop end-to-end ETL/ELT workflows and connect them to analytics platformsWork with orchestration tools such as Airflow, dbt and StreamlitDefine scalable data architectures using data lakes, medallion architecture and star schemaContribute to Azure cloud-native implementations using Container Apps, Storage, Service Bus and SignalRImplement and operate CI/CD pipelines using GitHub ActionsApply Infrastructure as Code with Bicep, Terraform and CDK to automate environmentsLeverage AI-assisted development tooling like GitHub Copilot and Claude in spec-driven workflowsCollaborate with engineering, data and business teams to deliver outcomes across domains
Requirements
5+ years of experience with Python (FastAPI, data processing, backend services)Hands-on experience with Pandas, Polars, DuckDB and Excel processing workflowsSolid background in data pipeline patterns such as ETL/ELTDeep understanding of data modeling approaches including star schema and medallion architectureDemonstrated ability to build distributed systems and design robust APIsPractical experience across the Azure ecosystem (compute, storage, messaging)Working knowledge of CI/CD and DevOps practices in production teamsStrong system design skills with excellent problem-solving abilityConsulting mindset with the ability to align multiple stakeholders and prioritiesEnglish proficiency at B2 (Upper-Intermediate) level or higher
Nice to have
Experience with Airflow, dbt and/or Streamlit in production settingsKnowledge of Snowflake features such as streams, tasks, time travel and stored proceduresExperience with event-driven architectures and messaging systemsFamiliarity with .NET for legacy systems integrationFrontend exposure using Angular or Next.jsExperience with distributed processing and async workflows
We offer
We connect like-minded peopleDelivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growthLeadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it allParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFour trust days per year for personal needsDiscounts for fitness clubsBenefits package (hotels, restaurants, stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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