Remote Position
[Remote] Data Engineer
🌍 Remote · United States
💼 Full-time
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 design and maintain scalable cloud-based data pipelines, optimize warehouse and lakehouse structures, and support analytics and business intelligence teams with reliable data. The role also involves data quality, CI/CD, collaboration with technical teams, and guidance for junior engineers.
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
Benefits
- Full-Time, W2 employment
- On-Site / Hybrid work mode
Company Overview