Senior Data Engineer

Yard Corporate; United States; Remote; USD 61,000 - 91,000; Full time

Benefits offered by this job

Remote in Poland

LuxMed health cover

Mental well-being app

MultiSport Plus card

Pension matching

Sabbatical after 5 years

Growth budget

Job summary

YARD Corporate presents an exciting Senior Data Engineer opportunity with a premier global SaaS product company. You will own end-to-end data systems, writing Python, modeling schemas, and deploying cloud infrastructure via Terraform.

You will collaborate with AI/ML teams to build production-grade data and MLOps pipelines. Join a company with an engineering-first culture, cloud-native infrastructure, and a strong emphasis on work-life balance and continuous learning.

Qualifications

• 5+ years of professional experience in software engineering with a focus on data systems.
• Deep Data Architecture Expertise in data modeling, query optimization, and schema design for relational databases and cloud warehouses.
• Strong Cloud & IaC skills with Terraform in AWS.
• Software rigor with automated testing, CI/CD, and maintainable Python code.
• Distributed processing experience with modern data tools (Snowflake, Spark, dbt, Iceberg).
• Collaborative English communication to technical and non-technical stakeholders.

Responsibilities

• Design, develop, and operate high-throughput data pipelines across distributed ecosystems.
• Lead schema evolution, DDL/DML design, and partitioning strategies for relational and analytical warehouses.
• Advocate for software engineering standards with IaC, tests, and CI/CD pipelines.
• Partner with Data Science to architect feature stores and MLOps workflows.
• Monitor, optimize, and scale containerized data services and orchestrated DAGs (Kubernetes, Airflow, Docker).
• Serve as a subject-matter expert translating architectural trade-offs into business decisions.

Skills

Python

Advanced SQL

MySQL/Aurora/RDS

Data Modeling

Distributed Systems

English (B2/C1+)

CI/CD

Cloud Security

Tools

Terraform

Docker

Kubernetes

Snowflake

Apache Spark

dbt

Apache Iceberg

Apache Druid

Airflow

Looker

Job description

About the Opportunity & Our Client

We are a specialized tech recruitment agency partnering with a premier, global SaaS product company that powers intelligent customer engagement and data-driven marketing automation for hundreds of thousands of businesses worldwide.

Processing massive volumes of events daily, their distributed platform transforms real-time data into predictive, automated customer experiences. The company is known for its engineering-first culture, mature cloud-native infrastructure, and strong commitment to work-life balance and continuous learning.

We are seeking an experienced Senior Data Engineer to join the core Data Platform team. In this role, you will design robust, high-throughput architectures, scale modern data stacks, and collaborate closely with AI/ML teams to bring production-grade intelligence into live environments.

Role Overview

As a Senior Data Engineer, you will own the end-to-end lifecycle of core data systems. You will balance immediate high-performance querying needs with long-term schema scalability, write clean and testable Python code, deploy your own cloud infrastructure via Terraform, and bridge the gap between business reporting, platform telemetry, and cutting-edge MLOps pipelines.

Key Responsibilities

• Pipeline Architecture & Engineering: Design, develop, and operate resilient, high-throughput data processing pipelines transforming data across distributed ecosystems.

• Data Modeling & Storage Strategy: Lead schema evolution, DDL/DML design, and partitioning strategies across relational and analytical warehouses to optimize cost, latency, and throughput.

• Engineering Rigor & IaC: Advocate for modern software engineering standards by managing your own cloud infrastructure via Terraform and maintaining automated test suites and robust CI/CD pipelines.

• AI & MLOps Enablement: Partner closely with Data Science and AI specialists to architect feature stores, model ingestion workflows, and production-grade MLOps pipelines.

• Reliability & Observability: Monitor, optimize, and scale containerized data services and scheduled DAGs running in orchestrated environments (Kubernetes, Airflow, Docker).

• Technical Leadership & Collaboration: Serve as a subject-matter expert for cross-functional stakeholders, translating complex architectural trade-offs into practical, business decisions.

Technology Stack

• Languages: Python (primary), Advanced SQL

• Cloud & Infrastructure: AWS (S3, Aurora, RDS), Terraform, Docker, Kubernetes

• Data Warehousing & Lakehouse: Snowflake, Apache Iceberg, Apache Druid

• Data Processing & Transformation: Apache Spark, dbt

• Orchestration & BI: Apache Airflow, Looker

Candidate Profile

Required:

• 5+ years of professional experience in software engineering with a primary focus on designing, scaling, and maintaining production data systems.

• Deep Data Architecture Expertise: Proven track record in data modeling, query optimization, and schema design for both high-concurrency relational databases (MySQL / Aurora / RDS) and cloud analytical warehouses.

• Strong Cloud & IaC Skills: Hands‑on experience provisioning and managing infrastructure using Terraform in a major cloud environment (preferably AWS).

• Software Rigor: Practical mindset toward automated testing (unit, integration, regression), CI/CD pipelines, and maintainable, modular Python code.

• Distributed Processing Experience: Real-world delivery experience using modern data tools (e.g., Snowflake, Apache Spark, dbt, Apache Iceberg).

• Collaborative Communication: Strong command of English (B2/C1+) with the ability to articulate architectural decisions clearly to technical peers and non‑technical stakeholders alike.

Nice to have:

• Experience building or supporting MLOps workflows and feature stores alongside Data Science teams.

• Hands‑on experience with real‑time analytics engines (e.g., Apache Druid or ClickHouse).

• Familiarity with containerized orchestration using Kubernetes and Helm.

What's on Offer?

• Tax Efficiency: 75% KUP (Copyright Tax Deductible Costs / Koszty Uzyskania Przychodu) for creative/software engineering contributions.

• Annual Incentive: 10% annual bonus tied to personal and company performance.

• Flexibility: 100% remote work from anywhere in Poland, supported by a home office stipend.

• Health & Wellness: Comprehensive private medical cover via LuxMed (including dental and vision subsidies) + complimentary mental well‑being app subscription.

• Sports & Recreation: MultiSport Plus card.

• Retirement & Long‑Term Rewards: Pension scheme matching up to 1.5%, plus a paid 4-week sabbatical with a financial bonus after 5 years of service.

• Growth Budget: Direct access to LinkedIn Learning, conference allowances, and personalized development pathways.