#middle #dataengineer
Middle Data Engineer (Snowflake Migration & Data Pipelines)

We are looking for a skilled Data Engineer with strong experience in data warehouse migration, particularly moving from PostgreSQL to Snowflake, to build and modernize data pipelines.

Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600 – $1000 (Net)
Format: Remote

Core Requirements
• Strong experience with data warehouse migration, especially from PostgreSQL to Snowflake
• Hands-on experience building and modernizing data pipelines and data models
• Deep knowledge of SQL and data modeling for performance and scalability
• Experience using dbt for managing transformations and workflows
• Ability to refactor stored procedures into cloud-native solutions using Python and SQL
• Strong experience with large-scale datasets and raw data ingestion (ETL/ELT pipelines)
• Understanding of data quality, reliability, and healthcare compliance (HIPAA/PHI)

Nice to Have
• Experience with Snowflake-specific features and optimizations
• Data lake architecture experience

What we offer
• Fully remote work
• Real-world data engineering projects
• Growth opportunities
• Friendly team

Ready to apply? Fill out the form here:
Application Form

For questions/inquiries: @hr_uzbot


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#middle #dataengineer
Middle Data Engineer

We are looking for a Middle Data Engineer with strong experience in SQL, AWS, data warehousing, ETL/ELT, and pipeline orchestration to help build and develop a new R&D data warehouse.

Company: Data Smart Solutions LLC
Role: Middle Data Engineer
Salary: $600-$800
Format: Remote

Core Requirements

• Strong SQL and hands-on experience with Amazon Redshift — COPY, MERGE/upserts, staging/final tables
• Experience with AWS S3 and Parquet-based data ingestion
• Experience with AWS EMR and Apache Spark
• Strong understanding of AWS DMS, CDC, full and incremental loads
• Experience with Apache Airflow and DAG orchestration
• Experience with data warehousing, data modeling, and data architecture
• Understanding of data contracts, schema validation, and data quality
• Ability to independently design and deliver production-ready pipelines
• Strong code review, PR, and software engineering practices

Nice to Have

• Experience migrating Informatica workflows to Airflow
• Experience building data warehouses from scratch
• Experience with CDC-based architectures
• Mentoring or technical leadership experience

What You’ll Work On

• Building and developing the R&D data warehouse
• Designing ETL/ELT pipelines using AWS services
• Processing data with S3, EMR/Spark, and Redshift
• Implementing CDC and incremental data loads
• Building and maintaining Airflow DAGs
• Implementing schema validation and data quality checks
• Participating in architecture and requirements discussions
• Reviewing code and improving existing data pipelines

What We Offer

• Fully remote work
• Modern AWS-based data stack
• International data engineering projects
• Opportunity to build a data warehouse from the ground up
• Professional growth and technical ownership
• Collaboration with an experienced data engineering team

Ready to apply? Fill out the form here:
Application Form

For questions/inquiries: @hr_uzbot


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