Data Engineer

Job Title: Senior Data Engineer – Cloud Data Platforms Company: Aaratech Inc. Employment Type: Full-Time, W2 (deployed to client projects) Experience: 4 years Compensation: $80,000 – $90,000 per year (Negotiable) Work Mode: On-Site / Hybrid Work Authorization At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship. Job Summary Aaratech Inc. is seeking a Senior Data Engineer to build and improve cloud-based data solutions. You will design and maintain scalable pipelines, help shape data models and engineering standards, and support analytics and BI teams with reliable, well-structured data. What You Will Do • 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. What We Are Looking For • 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. Tools You Will Work With • 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. Nice to Have (Not Required) • 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. About Aaratech Inc. Aaratech Inc. is a technology-driven organization delivering innovative solutions across data & analytics, cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations build scalable cloud data platforms, optimize data workflows, and enable data-driven decision-making through modern engineering practices. roblem-solving and communication skills