Salary
≈ $116k – $252k per year (Estimated)
Location
In office (New York)
Employment
Full-Time
First seen by Alion on Oct 14, 2026.
Overview
Company
Impact
Profile match
We work with startups and enterprises to solve pressing business problems. From cloud to RPA, we are here to create an impact.
ATC is seeking a Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data platforms. The role builds and maintains data processing workflows and platforms, collaborates with analysts, data scientists, and stakeholders, and supports data quality, governance, and security.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines
- Build and optimize data ingestion, transformation, and integration workflows using Databricks and Apache Spark
- Develop and maintain data lakes and cloud-based data warehouses
- Create scalable batch and real-time data processing solutions
- Optimize data pipelines for performance, reliability, and scalability
- Develop reusable data engineering frameworks and automation solutions
- Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions
- Implement data quality, governance, monitoring, and security best practices
- Troubleshoot production issues and continuously improve data platform performance
- Follow DevOps and CI/CD best practices for data engineering projects
Skills
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field
- 5+ years of experience as a Data Engineer
- Strong programming skills in Python
- Advanced SQL proficiency
- Hands-on experience with Databricks
- Strong experience with Apache Spark (PySpark preferred)
- Experience building and maintaining ETL/ELT pipelines
- Experience with Apache Airflow or similar workflow orchestration tools
- Experience with data warehousing technologies such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics
- Hands-on experience with at least one cloud platform (AWS, Azure, or Google Cloud Platform)
- Experience with Git, Docker, and CI/CD pipelines
- Knowledge of relational and NoSQL databases
- Experience with Kafka or other streaming platforms
- Experience with Delta Lake
- Familiarity with Apache Iceberg or Apache Hudi
- Experience with Infrastructure as Code (Terraform or CloudFormation)
- Knowledge of data governance and data quality frameworks
- Exposure to DevOps and MLOps practices
Company Overview
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