Senior Data Engineer
First seen by Alion on Oct 21, 2026.
What We're Looking For:
- Master's degree or foreign equivalent in Information Systems, Data Science, Data Analytics, Computer Science, Computer Engineering, or related field.
Total Experience: 5-10 years
- Five (5) years of work experience in the position offered, as a Data Engineer, Software Developer, or related occupation.
Technical Requirements:
- Working in a production data environment, with responsibility for building, maintaining, and supporting data pipelines and platforms.
- Leading cloud data migrations and platform modernization efforts, including planning, execution, and support of production systems during and after migration.
- BigQuery, Snowflake, and cloud-based data architectures, including designing, optimizing, and operating scalable data solutions in cloud environments.
- Migrating, supporting, and maintaining BI and reporting platforms such as Looker (Mode experience), including ensuring data accuracy, performance, and reliability of reporting.
- SQL (Structured Query Language) and Python, with demonstrated ability to troubleshoot and resolve complex data quality, performance, and integration issues.
- Working with ETL/ELT (Extract, Transform, Load) tools (Talend) and modern data pipeline patterns, including data ingestion, transformation, orchestration, and monitoring in production environments.
- Building and managing marketing data integrations, including integrations with search engines, social media platforms, and other third-party marketing data sources.
- Internal and external API (Application Programming Interface) integrations, including ingesting, validating, and maintaining data from third-party and internal systems.
- Data warehousing concepts, including dimensional modeling, performance optimization, and cost aware design in cloud data platforms.
- Own and deliver complex technical solutions end-to-end (design, implementation, and support) using distributed systems, cloud platforms (AWS, GCP, Azure), data frameworks (Spark, Kafka), and programing languages (Python, C#, SQL).
- Work independently while collaborating cross-functionally (engineering, analytics, product, and business), using tools such as Git, Jira, and BI platforms (Tableau, Looker, Power BI), and proactively managing workstreams and contributing to team standards.
Skills
Data Engineering, SQL, Python, BigQuery, ETL, Talend, Snowflake DB