Data Engineer
QTech•Boston, NY
•Onsite
About The Position
We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong expertise in data engineering, ETL/ELT processes, cloud technologies, big data frameworks, and data warehousing solutions. This role will work closely with business stakeholders, data analysts, architects, and development teams to deliver reliable, high-performance data solutions that support enterprise analytics and reporting initiatives.
Requirements
- Strong experience with Python, SQL, and Data Engineering concepts.
- Hands-on experience with ETL/ELT development.
- Experience with Apache Spark, PySpark, or Databricks.
- Knowledge of Data Warehousing concepts and dimensional modeling.
- Experience with cloud platforms: AWS, Azure, or GCP.
- Experience with data orchestration tools such as Airflow.
- Experience working with relational and NoSQL databases.
- Knowledge of data lakes and big data technologies.
- Strong understanding of performance tuning and optimization.
- Experience with version control systems such as Git.
Nice To Haves
- Experience with Snowflake, Databricks, or Redshift.
- Knowledge of Kafka or real-time streaming technologies.
- Experience with Terraform or Infrastructure as Code (IaC).
- Familiarity with DevOps and CI/CD pipelines.
- Experience supporting enterprise-scale data platforms.
- Relevant cloud certifications are a plus.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Build and optimize data ingestion, transformation, and integration processes.
- Develop cloud-native data solutions using AWS, Azure, or GCP.
- Design and implement data models, data lakes, and data warehouses.
- Ensure data quality, governance, security, and compliance standards.
- Optimize database performance and query execution for large-scale datasets.
- Implement data monitoring, validation, and troubleshooting processes.
- Collaborate with Data Scientists, Analysts, and Business Teams to support analytics initiatives.
- Automate data workflows and deployments using CI/CD best practices.
- Support real-time and batch data processing architectures.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
