WE ARE HIRING | DATA / ANALYTICS ENGINEER Looking for an experienced Data / Analytics Engineer who can build scalable data pipelines, work across modern cloud data platforms, and integrate AI/LLM capabilities into production workflows? We have an exciting long-term remote contract chance for you ? Role: Data / Analytics Engineer ?

Location:
Remote – North America ? Time Zone: North American time zones ⏳

Experience:
5+ Years ? Engagement: Contractor – Long Term ? What You’ll Work On
• Build and maintain large-scale data ingestion and transformation pipelines
• Develop production workflows using Apache Airflow, AWS Step Functions, Glue, Athena, and PySpark
• Build and optimize dbt models on Snowflake
• Design and manage Apache Iceberg tables and lakehouse workflows
• Implement infrastructure as code using Terraform
• Optimize data pipelines for performance, reliability, and cost
• Integrate LLMs into production workflows using OpenAI, Anthropic, or AWS Bedrock
• Build LLM-powered features with structured outputs, tool calling,



and evaluation workflows
• Manage data quality, monitoring, incident resolution, and automated testing
• Collaborate across data platforms, APIs, and application layers ? Must-Have Skills 5+ years in Data Engineering or Analytics Engineering Strong Python and advanced SQL Hands-on experience with dbt and Apache Airflow AWS data services: S3, Lambda, Glue, Step Functions, and related services Experience with Snowflake, Spark/PySpark, and lakehouse technologies Strong Terraform / Infrastructure-as-Code experience Production LLM integration, including API handling, retries, rate limits, and cost optimization Prompt engineering, LLM evaluation, and regression testing Strong data modeling, pipeline reliability, and data-quality practices Experience using AI coding agents such as Claude Code or similar ⭐ Nice to Have: SageMaker, Kinesis, Firehose, Kafka, Go, React, TypeScript, REST APIs, and PostgreSQL.

📌 DATA / ANALYTICS ENGINEER (India)
🏢 Digivance Solutions
📍 India