Data Engineer

Aaratech Inc. is seeking a Senior Data Engineer to build and improve cloud-based data solutions. The role designs and maintains scalable data pipelines, shapes data models and engineering standards, and supports analytics and BI teams with reliable, well-structured data.

Responsibilities

• Design and build ETL/ELT pipelines for enterprise data integration on cloud platforms
• Help design and optimize data warehouse and lakehouse structures (Snowflake, Databricks, Synapse)
• Write efficient SQL and Python/PySpark transformations
• Contribute to CI/CD, testing, and monitoring practices for data pipelines
• Help maintain data quality and documentation across the platform
• Partner with analysts, data scientists, and application teams to deliver trusted data
• Support and guide junior engineers through code reviews and knowledge sharing

Skills

• At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship
• Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience
• 4+ years of data engineering or related experience (ETL, data warehousing, cloud data work)
• Strong SQL and solid Python skills
• Hands-on experience with at least one cloud data platform — Databricks, Snowflake, Azure Synapse/Data Factory, or AWS Glue/Redshift
• Experience designing data models or pipelines for multi-source environments
• Comfortable explaining technical work to non-technical stakeholders
• Streaming experience (Kafka, Event Hubs, Kinesis)
• Terraform or other infrastructure-as-code exposure
• Familiarity with data governance or catalog tools (Unity Catalog, Purview, Collibra)
• Any work preparing data for AI/ML use cases
• Certifications such as Databricks Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement

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