JOB DESCRIPTION
Data Engineer (3+ Years Experience)
Hybrid; Hartford, CT
$85,000- $105,000 plus bonus plus benefits
We are seeking a Data Engineer with 3+ years of experience in building and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data platforms. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable, and accessible data for reporting, analytics, and AI/ML use cases.
JOB RESPONSIBILITIES
- Design, develop, and maintain ETL/ELT pipelines for ingesting and processing large datasets.
- Build and optimize data workflows using Python, SQL, and distributed data processing frameworks.
- Develop and manage data models, data warehouses, and data lakes.
- Implement data quality checks, validation frameworks, and monitoring solutions.
- Integrate data from multiple structured and semi-structured sources.
- Collaborate with analysts, data scientists, and business teams to understand data requirements.
- Optimize query performance and ensure scalability of data solutions.
- Support CI/CD deployment, testing, and production monitoring of data pipelines.
- Document data lineage, architecture, and technical processes.
- Follow data governance, security, and compliance standards.
JOB QUALIFICATIONS
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3+ years of experience in Data Engineering or related roles.
- Strong proficiency in SQL and Python.
- Experience with ETL/ELT development and data pipeline orchestration.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Experience working with data warehouses such as Snowflake, BigQuery, Redshift, or Synapse.
- Knowledge of Apache Spark/PySpark and workflow orchestration tools such as Airflow.
- Understanding of data modeling, data warehousing concepts, and performance tuning.
- Experience with Git, CI/CD, and Agile development methodologies.
