TL;DR
Data Engineer (Data Stream): Build, optimize, and maintain data pipelines, data products, and monitoring frameworks for enterprise systems with an accent on ensuring accurate, complete, timely, and trustworthy data. Focus on designing scalable data ingestion pipelines, developing data models and transformations, and implementing automated data quality testing.
Location: Occasional travel to client sites within the Central Virginia region is required.
Salary: $180,000 to $230,000 USD per year.
Company
hirify.global is a global software engineering firm that designs, develops, and supports unique software solutions.
What you will do
- Design and build scalable data ingestion pipelines for internal and third-party sources.
- Develop and maintain data models, transformations, and reusable data products.
- Implement automated data quality testing, profiling, and monitoring.
- Support the operationalization of data lifecycle management and data retention processes.
- Collaborate with architects to implement metadata, lineage, and data catalog integrations.
- Assist in integrating new data sources related to learning systems, customer data, operational logs, financial systems, and marketing platforms.
Requirements
- 5+ years of experience in data engineering or data quality engineering roles.
- Strong proficiency in SQL, cloud data platforms, ELT/ETL frameworks, and orchestration tools.
- Experience with Python, Snowflake, Apache Airflow, and Azure Data Factory.
- Experience implementing data quality rules, data validation frameworks, and observability tooling.
- Ability to work in agile environments and collaborate with analysts, architects, and governance teams.
Culture & Benefits
- Vacation as per the laws of your country.
- Health insurance policy for you and your loved ones.
- Sick pay: 10 days without a doctor's note, afterwards - as per the laws of your country.
- Time off for state holidays according to the official calendar, regardless of the client’s schedule.
- Pleasant environment with corporate parties and small get-togethers for colleagues.
- Comfort service: Solving technical and everyday problems at work.
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