Data Engineer

Hybrid in Ridgefield, CT, US • Posted 23 hours ago • Updated 23 hours ago
Full Time
No Travel Required
Hybrid
120000/yr
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Fitment

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Job Details

Skills

  • Artificial Intelligence
  • Analytics
  • Databricks
  • Extract, Transform, Load
  • ELT
  • Microsoft Azure
  • PySpark
  • Python
  • Data Engineering
  • Data Modeling
  • Data Quality
  • Machine Learning (ML)
  • Cloud Computing
  • SQL

Summary

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 Google Cloud Platform) 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10415428
  • Position Id: 8925778
  • Posted 23 hours ago

Company Info

About Top Prospect Group

Top Prospect Group was founded by a select group of IT staffing professionals who believe in what they do and continuously strive for excellence. At TPG, we don’t subscribe to the just get the deal done philosophy common in most agencies, instead opting for a more personable approach. It’s what makes us different: we care! Motivated by a partnership philosophy, our staff possesses a deep understanding of how to forge mutually beneficial long-term relationships.

This proactive and partnership-focused approach to staffing allows us to deliver the highest levels of service to candidates and clients. Our Staffing Professionals offer more than 40 years of experience providing IT and Professional Staffing, Consult to Hire, Direct Hire and Project Based solutions, with a diverse range of clients from small niche organizations to mid-size and Fortune 1000 firms.

We have built our success on the value of partnerships. When it comes to matching the right person for the right job, we know precisely what each candidate has to offer and what the unique requirements are for each position. Our winning track record demonstrates the effectiveness of our partnership approach.

 Are you a professional seeking new opportunities to showcase your skills and advance your career? Top Prospect Group is your gateway to exciting challenges and rewarding roles with industry-leading organizations.

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