Data Engineer

United Tech; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Vacation days

Remote-friendly

Professional development

Course reimbursement

Team events

Job summary

United Tech is hiring a Data Engineer to help shape and scale our data ecosystem across international markets. You will design cloud-native architectures, build ETL/ELT pipelines, and create analytical datasets for dashboards and BI tools.

You will work with BigQuery, PySpark, and Python, collaborating with data science and product teams to enable fast, data-driven decisions. Hybrid work from Kyiv hub or remote option offered.

Qualifications

• 3+ years of experience with large-scale data platforms and high-volume datasets.
• Strong data modeling, warehousing concepts, and analytical architecture design.
• Proven experience designing and developing complex ETL/ELT workflows following BI/data engineering best practices.
• Hands-on BigQuery experience: partitioning, clustering, query optimization, cost management.
• Strong SQL skills; able to craft and optimize complex analytical queries (Google SQL).
• Proficiency in Python and data processing using Pandas/PySpark.

Responsibilities

• Design and develop scalable, cloud-native data architectures in BigQuery for performance and cost efficiency.
• Build, automate, and maintain ETL/ELT pipelines with modern data stack tools and custom solutions.
• Create and optimize data marts and analytical datasets for reporting and dashboards.
• Implement data quality frameworks, monitoring, logging, and alerting for reliability.
• Improve performance, scalability, and cost efficiency of production data infra.
• Collaborate with Data Science to support ML and analytics initiatives.
• Partner with product/analytics/engineering to deliver scalable data solutions.

Skills

BigQuery

ETL/ELT design

SQL

Python

PySpark

Data modeling

Data warehousing

GCP

CI/CD

Monitoring

Data quality

Tableau

Looker

Communication

Independent work

Stakeholders

Tools

BigQuery

ClickHouse

Tableau

Looker

Git

CI/CD

Dataform

Job description

Data is at the core of every product decision we make. In this role, you’ll help shape and scale the data ecosystem behind products used by millions of users across international markets. You’ll work on high-volume data platforms, build reliable pipelines, and create the foundation that enables analytics, business intelligence, and data science teams to make fast, data-driven decisions. This is an opportunity to solve complex engineering challenges, optimize large-scale data systems, and directly influence the way data powers our products and business growth

In this role, you will

• Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency

• Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions

• Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights

• Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability

• Continuously improve performance, scalability, and cost efficiency of production data infrastructure

• Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives

• Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization

It’s all about you

• 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets

• Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design

• Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices

• Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management

• Strong SQL skills with the ability to write and optimize complex analytical queries using Google SQL

• Proficiency in Python and data processing libraries such as Pandas and PySpark

• Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches

• Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts

• Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows

• Strong understanding of monitoring, logging, data validation, and production-grade data quality practices

• Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment

• Strong communication and collaboration skills with both technical and non-technical stakeholders

• Understanding of product metrics, experimentation frameworks, and data-driven decision making

• 2+ years of previous Software Engineering experience

• Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs

• Experience integrating data platforms with BI tools such as Tableau or Looker

Would be a plus

• Familiarity with supporting machine learning workflows and data infrastructure for Data Science teams

• Experience working with AI-powered development tools, including Claude Code, Claude Agents, or similar AI-assisted engineering solutions

What we offer

• Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events

• Up to 10 additional days off for public holidays

• 100% medical insurance coverage

• Sports and equipment reimbursement

• Team building events, corporate gifts, and stylish merch

• Maternity Recovery Support Allowance

• Financial and legal support

• Position retention and support for those who join the Armed Forces of Ukraine

• Participation in social initiatives supporting Ukraine

• Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule

• Modern equipment or depreciation of your own tools

• Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche

• 70% of our heads and leads have grown into their roles here – so can you!

• Performance-oriented reviews and Individual Development Plans (IDPs)

• Reimbursement for professional courses and English classes

• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call

• Technical interview

• Final interview

• Reference check

• Offer

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