Data Engineer

Job Title: Data Engineer Location: Remote (United States) Experience: 4 – 8 Years About the Role: We are seeking a highly skilled Data Engineer to design, develop, and optimize data pipelines and architectures that enable advanced analytics and real-time data insights. The ideal candidate should be passionate about data quality, scalability, and performance—and bring innovative solutions to complex data challenges. Key Responsibilities: • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data using modern tools and cloud platforms. • Develop and manage data warehouse and lakehouse solutions using Snowflake, Redshift, or Databricks. • Implement Data Mesh architecture principles to decentralize data ownership and empower domain-based data teams. • Optimize data models for analytics and reporting, ensuring data integrity, lineage, and performance. • Work closely with data analysts, data scientists, and product teams to support data-driven decision-making. • Integrate streaming data using Kafka, Spark Streaming, or Kinesis for near-real-time insights. • Automate workflows and CI/CD for data pipelines using Airflow, GitHub Actions, or Azure Data Factory. • Apply DBT (Data Build Tool) best practices for transformations, documentation, and testing. • Ensure compliance with data governance, security, and privacy policies (GDPR, HIPAA, etc.). Required Skills: • 4–8 years of experience as a Data Engineer or in a similar data-intensive role. • Strong expertise in SQL, Python, and at least one cloud platform (AWS / Azure / GCP). • Proven experience with Snowflake and DBT (with performance optimization experience). • Hands-on experience with Apache Spark, Kafka, or Flink. • Solid understanding of data modeling, data warehousing, and schema design. • Familiarity with containerization (Docker/Kubernetes) and version control (Git). • Exposure to Data Mesh Architecture or domain-oriented data ownership models (rare but preferred). • Excellent communication, problem-solving, and analytical thinking skills. Preferred Qualifications: • Experience with Delta Lake or Iceberg tables. • Familiarity with Terraform or CloudFormation for infrastructure as code. • Knowledge of Machine Learning data pipelines or feature store design. • Certification in AWS Data Analytics, Azure Data Engineer, or GCP Professional Data Engineer.