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# Data Engineer - AI-Accelerated Development (Snowflake, Airflow, Python)

- **Company:** Harvey Nash
- **Location:** Snowflake, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $160,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, BigQuery, Code Review, Collaborative Software, Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Cursor (Graphical User Interface Elements), Database Queries, Python (Programming Language), Operational Databases, Oracle (Applications), Performance Tuning, Workflow Management Systems, GitHub Copilot, Snowflake, Apache Spark, Git, Data Lakes, Git Flow, Data Analytics, Apache Kafka, Data Management, Video Streaming, Terraform, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks
- **Published:** July 10, 2026
- **Apply:** https://www.careerjet.com/job/us7aefbfcaa8468b0aa0261cd7f0675266/eaa

## About the Role

Strong SQL skills (complex queries, CTEs, window functions, performance optimization)
Experience with Python for data engineering and automation
Experience with modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift, Synapse)
Experience building pipelines using Apache Airflow or similar orchestration tools
Experience operating production data systems with focus on reliability and maintainability
Experience using Git and collaborative software engineering practices
Strong ownership mindset and ability to work in fast-changing environments
Effective communication with technical and business stakeholders
Experience using AI coding assistants and ability to critically review generated code
BONUS POINTS IF YOU HAVE:
Experience with Databricks, Apache Spark, or Delta Lake
Familiarity with DBT, Kafka, Kinesis, or other streaming technologies
Experience with Terraform, Infrastructure as Code, or CI/CD pipelines
Experience building AI or ML data pipelines

## Description

At the AI&Data, we work locally and globally with over 200 Poland-based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with tech partners like Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting-edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
THE WORK
Design, build, and operate scalable ELT/ETL pipelines using data from APIs, databases, event streams, and third-party systems
Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting
Build and optimize data models in Snowflake and Databricks that power analytics, reporting, and AI applications
Improve data quality through validation, testing, monitoring, and lineage
Investigate production incidents, perform root-cause analysis, and implement long-term fixes
Collaborate with analytics engineers, data scientists, product teams, and software engineers
Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews)
Leverage AI coding tools (e.g., GitHub Copilot, Codex, Cursor) to accelerate development while maintaining quality
Flexible: The work location for this role may include a mix of working remotely (most of the time), onsite at a client or in an Accenture office - depending on specific project circumstances With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
WHAT'S IN IT FOR YOU?
Work on modern cloud-based data platforms and own meaningful parts of data solutions
Gain hands-on experience across the full data engineering lifecycle
Be part of a high-impact engineering team delivering data-driven solutions, Overview: Position Summary: We're looking for an Analytics Engineer II to build our next-generation enterprise metrics store and enable insights across underwriting, sales, pro…

 + 24 days ago
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