Native or near-native fluency in English is essential, as our projects operate at an international level and close collaboration with overseas teams is part of the day-to-day work.
Location: International Branch — Texas-Based Company Compensation:US Dollar , competitive and based on experience Employment Type: Full-Time, Remote
What You’ll Actually Be Doing
Designing, building, and maintaining reliable data pipelines used in real production environments
Developing scalable ETL and ELT workflows that move, transform, and validate data across multiple systems
Working with large datasets and making sure data is accurate, accessible, and ready for analytics, reporting, and product use
Building and improving data models, warehouse structures, and transformation layers that support business and technical teams
Collaborating closely with backend, analytics, product, and leadership teams to understand data needs and turn them into dependable solutions
Improving data quality, reliability, performance, and observability across the data platform
Working with cloud-based data infrastructure, storage systems, databases, and workflow orchestration tools
Automating manual data processes and reducing fragile, one-off workflows
Troubleshooting pipeline failures, performance issues, data inconsistencies, and production data problems
Making practical technical decisions that balance scalability, cost, maintainability, and business value
What We’re Looking For
5+ years of professional experience in data engineering, backend engineering, or data platform roles
Strong hands-on experience with Python and SQL in production data environments
Solid experience building ETL or ELT pipelines with tools such as Airflow, Dagster, Prefect, dbt, or similar technologies
Experience working with data warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar systems
Strong understanding of relational databases, data modeling, indexing, query optimization, and analytical data structures
Experience with cloud platforms such as AWS, Azure, or GCP
Comfortable working with batch processing, streaming data, APIs, files, events, and third-party data sources
Experience with tools such as Spark, Kafka, Redis, S3, Docker, Kubernetes, or Terraform is a strong plus
Good understanding of data quality, validation, monitoring, lineage, and governance practices
Ability to troubleshoot calmly when pipelines fail or data looks wrong
Strong communication skills and the ability to explain data issues clearly to both technical and non-technical teams
Comfortable owning data architecture decisions and following through from design to production
Compensation & Structure
Salary paid in USD
Long-term senior role with meaningful technical ownership
Direct collaboration with Texas-based leadership
Flexible, distributed remote work environment
Opportunity to shape data infrastructure for international-level products
شرکت BandraTechSolutions به عنوان پل ارتباطی میان شرکتهای بینالمللی و برنامهنویسان توانمند ایرانی فعالیت میکند که دارای دو شعبه در شهر های تهران و همچنین شعبه مرکزی که در اصفهان قرار دارد، واقع شده است. این مجموعه با ایجاد بستری مطمئن و حرفهای برای همکاریهای جهانی، فرصتی فراهم کرده است تا توسعهدهندگان ایرانی بتوانند در پروژههای جهانی مشارکت کرده و از مزایای پرداخت دلاری بهرهمند شوند. این شرکت با تمرکز بر کیفیت، تخصص و ایجاد تجربه همکاری استاندارد جهانی، در حال گسترش فعالیتهای خود و جذب تعداد بیشتری از نیروهای حرفهای است تا بتواند پاسخگوی نیازهای روزافزون شرکتها باشد و مسیر رشد و پیشرفت شغلی برنامهنویسان ایرانی را هموارتر کند.