Note: The job is a remote job and is open to candidates in USA. Aaratech Inc. is a technology-driven organization delivering solutions across data and analytics, cybersecurity, healthcare, and enterprise domains. The company is seeking a Senior Data Engineer to build and improve cloud-based data solutions, design scalable pipelines and data platforms, and support analytics and BI teams with reliable 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
• • Cloud: Azure (Data Factory, Synapse, Fabric) or AWS (Glue, Redshift, S3) — one is enough
• • Platforms: Databricks, Snowflake, or Delta Lake
• • Processing: SQL, Python, PySpark
• • Orchestration: Airflow, dbt, or Azure Data Factory — any of these
• • DevOps: Git plus Azure DevOps or GitHub Actions
• • 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

Benefits

• Full-Time, W2 employment
• On-Site / Hybrid work mode

Company Overview