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Senior Data Engineer (Contractor) – Enterprise Data Platform

Company: EMK SOFT
Experience: 7+ years
Colaboration basis: Contract B2B/ in-house
Contract Type: Long-term project, 12+ month (remote/Minsk office can do a hybrid)
Timezone: US Pacific time. GMT -8 time zone overlap required - minimum 4 hours/day

About the Project

Join a fast-growing tech company (est. in 2003, 250K+ professional users) to build and scale their enterprise data ecosystem. You’ll work hands-on with modern data stack technologies—AWS, Kafka, DBT, Airflow—to design pipelines, enable real-time analytics, and empower cross-functional teams with reliable data.

What You’ll Do

Design, develop, and optimize ETL/ELT pipelines using Python, SQL, DBT, Airflow.
Model data architecture for the Redshift data warehouse (dimensional modeling, Data Vault).
Integrate real-time event streams with Apache Kafka to expand data sources and freshness.
Collaborate with Product, Data Science, and Operations to translate business needs into scalable data solutions.
Optimize performance of business-critical queries and overall data platform efficiency.
Implement data governance and ensure security across the platform.
Mentor junior engineers and contribute to technical roadmap decisions.

Tech Stack You’ll Use

• Languages: SQL, Python (Pandas, PySpark)

• Cloud: AWS (Redshift, S3, Lambda, EC2)

• Data Engineering: DBT, Apache Airflow, Apache Kafka, Apache Spark

• BI & Analytics: Integration with Tableau/Looker/Power BI

• Methodologies: Data Vault, dimensional modeling, ELT/ETL design

Who We’re Looking For

7+ years of hands-on data engineering experience in analytics-focused environments.
Expertise in AWS Redshift, DBT, Airflow, and Kafka (real-time streaming).
Strong SQL and Python skills for pipeline development and optimization.
Experience with data modeling for warehousing and reporting.
Background in FinTech, SaaS, or Go-To-Market analytics domains.
Ability to collaborate with Product, Engineering, and Business teams.
Excellent communication in English (daily syncs with US-based teams).

Nice to Have

Experience with Snowflake or migration from legacy systems.
Knowledge of data governance and compliance (GDPR, CCPA).
Previous work in product analytics or user behavior data pipelines.

Why Join

Work with a recognized industry leader.
Build a modern data platform from early-stage to enterprise scale.
Fully remote with flexible hours (US timezone overlap).
Competitive contractor rates and long-term project engagement.