Hybrid Data Engineer: Build Scalable Pipelines

DeWinter Group; Westbrook (CT); Hybrid; USD 110,000 - 140,000; Full time

Job summary

DeWinter Group is searching for a Data Engineer to design and implement scalable data pipelines using cutting-edge cloud platforms. You will ensure data integrity, performance, and fault-tolerance while enabling data-driven decision-making across the organization.

You should have 3+ years of data engineering experience, a Bachelor's degree in a related field, and be comfortable working in a hybrid model with a 5-month engagement. This W2 role supports collaboration with Maris Consulting clients.

Qualifications

• Experience building scalable data pipelines in cloud environments.
• Strong knowledge of data warehousing concepts and ETL patterns.
• Proficiency in SQL for transformations and queries.

Skills

SQL proficiency

Data warehousing

ETL & data modeling

Cloud platforms

Distributed processing

Python

RDBMS & NoSQL

Data orchestration

Education

Bachelor's degree in CS/IS/Engineering

Tools

Snowflake

Databricks

AWS

Spark

Hive

Presto

Pig

PostgreSQL

MongoDB

Cassandra

Job description

DeWinter Group is searching for a Data Engineer to design and implement scalable data pipelines using cutting-edge cloud platforms. You will ensure data integrity, performance, and fault-tolerance while enabling data-driven decision-making across the organization.

You should have 3+ years of data engineering experience, a Bachelor's degree in a related field, and be comfortable working in a hybrid model with a 5-month engagement. This W2 role supports collaboration with Maris Consulting clients.