Senior Bigdata Engineer (Snowflake + Dbt)

Worldwide | Oct. 16, 2026

Report as Closed

Company: Softserve

Country: Worldwide

Salary: $43,200 - $48,000

Type: Remote

Employment: Full-time

Description: We are advisors, engineers, and designers solving business challenges with innovative technology solutions. #StandWithUkraine

 SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Our team of more than 100 specialists works with one of the biggest US-based leaders in the Smart Home industry. It’s been 9 years since we started our cooperation. The primary focus of our client is on ensuring safety and security. They successfully applied it in a smart home solution that saves you resources and ultimately simplifies your life.We develop and support applications used by sales representatives to sell the company products. 




  • Strong experience in Data Engineering, Data Warehousing, or related fields, with 5+ years of professional experience
  • Strong hands-on experience with Snowflake and modern cloud-based data warehouse solutions
  • Advanced SQL skills for working with large-scale datasets and complex data transformations
  • Strong proficiency in Python for data engineering, data transformation, and automation
  • Hands-on experience with dbt for data transformation, modeling, testing, and documentation
  • Solid experience designing and maintaining ETL/ELT pipelines, data models, and ingestion workflows
  • Practical experience with Apache Airflow or similar workflow orchestration technologies
  • Hands-on experience with AWS cloud data platforms and services, plus familiarity with CI/CD, version control, data quality, and production troubleshooting practices
  • Upper-intermediate or higher English proficiency for collaboration with technical and business stakeholders

SoftServe is a global digital solutions company, headquartered in Austin, Texas, founded in 1993. Our associates work on 2,000+ projects with clients in the USA, Europe, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

About the Role

In this role you will design and develop scalable data warehouse and ELT solutions that support analytics and business decision-making. You will take ownership of reliable data workflows and large-scale analytical datasets, working with technical and business stakeholders to deliver high-quality data assets with a focus on performance, data quality, and cost efficiency.

Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines and data warehouse solutions to support reliable analytics and business decision-making
  • Build and optimize data transformations and data models, using Snowflake, dbt, SQL, and Python.
  • Collaborate with technical and business stakeholders to understand requirements and translate them into effective data solutions and high-quality data assets
  • Develop and maintain workflow orchestration using Apache Airflow to support reliable end-to-end data processing
  • Design data models and ingestion frameworks that support large-scale analytical datasets and complex data transformations
  • Implement data quality, validation, and auditing processes across end-to-end data workflows to improve the reliability of data assets
  • Develop and maintain data integration solutions across AWS and Snowflake environments using SQL, Python, and dbt
  • Contribute to CI/CD, testing, troubleshooting, and continuous improvement practices for data engineering solutions in production environments
Some of our benefits
  • SoftServe University, with learning opportunities, certification support and leadership opportunities to help you grow your skills
  • Medical insurance for you and your family
  • Food vouchers
  • Extra days off
  • Dare to Care, our holistic well-being program
  • Anniversary Program to celebrate your time with us

Apply here:

Web: Apply here

Emails:



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