Data Engineer

If you enjoy building scalable data solutions in the cloud and working with cutting-edge tools, this is your chance to make a measurable impact.

FT

Direct Hire

$120K plus benefits

Hybrid-4 days on site in CT, 1 day remote

Data Engineering, Data Pipelines, Data Modelling, ETL Workflows, Python, Pyspark, SQL, Cloud Platforms, CI/CD processes, Databricks/Apache, AI, Machine Learning

Overview

Join a growing data team where you’ll build scalable pipelines and turn complex data into insights that drive real business decisions. This is a hands-on role working with modern cloud technologies, analytics, and emerging AI solutions.

What You’ll Do

• Design, build, and optimize data pipelines and ETL/ELT workflows
• Develop scalable solutions using Python and SQL
• Work with cloud platforms (Azure, AWS, or GCP) to manage and transform large datasets
• Partner with analysts, data scientists, and business teams to deliver clean, usable data
• Implement data models to support reporting and analytics
• Ensure data quality through testing, monitoring, and governance best practices
• Support automation, scheduling, and performance optimization of data workflows
• Contribute to CI/CD processes, version control, and code reviews

What You Bring

• 3+ years of experience in data engineering or data-focused development
• Strong SQL skills (querying, optimization, performance tuning)
• Experience with Python (Pandas, PySpark, or similar)
• Hands-on experience with cloud data platforms (Azure preferred)
• Familiarity with data pipeline/orchestration tools (Airflow, ADF, Prefect, etc.)
• Understanding of data modeling and analytics workflows
• Strong problem-solving and collaboration skills
• Experience with Databricks or Apache Spark
• Exposure to machine learning or analytics use cases
• Background in supply chain, trading, or large-scale data environments -nice to have