Senior Data Engineer

Job Description

Axian is seeking a Senior Data Engineerto design and build modern cloud data platforms and enterprise data pipelines for our clients. 

This role combines deep hands-on data engineering expertise with architectural thinking. You will design scalable ingestion frameworks, implement lakehouse architectures, and integrate complex enterprise data sources into modern analytics platforms. 

A key focus of this role is expert-level data warehouse developmentand building high-quality, production-grade data pipelines / platforms. 

You will work closely with architects, analysts, and business stakeholders to deliver data solutions that support analytics, operational systems, and enterprise reporting. 

What You’ll Do:

• Design and implement modern cloud data platforms, including data lakes, data warehouses, and lakehouse architectures. 

• Build and maintain Databricks-based data engineering solutions, including ingestion pipelines, transformation frameworks, and curated data layers. 

• Develop scalable ETL/ELT pipelines using Python, PySpark, and SQLto process and transform enterprise data. 

• Integrate data from a wide range of sources including enterprise applications, APIs, ERP systems, databases, flat files, and third-party data feeds.

• Implement Bronze / Silver / Gold lakehouse architecturesusing Delta Lake and Databricks. 

• Design logical, physical, and dimensional data modelsto support analytics, reporting, and downstream applications. 

• Develop reliable data integration solutions for enterprise platforms, including ERP, financial, and operational systems. 

• Build or integrate REST APIs and servicesto support data ingestion and downstream data consumption. 

• Deliver analytics-ready datasetsand collaborate with analytics teams to support reporting platforms such as Power BI, Tableau, or similar BI tools. 

• Implement pipeline orchestration, monitoring, and observabilityto ensure reliable production data workflows. 

• Optimize data pipelines and platforms for performance, scalability, and cost efficiency.

• Provide technical guidance and mentorshipto engineers and client teams when needed. 

• Contribute to data architecture decisions and engineering best practicesacross Axian client engagements. 

 Required Qualifications:

• Bachelor’s degree in Computer Science or equivalent combination of education and 7+ years of professional experience in software engineering or information technology  
• 5+ years of experience in data engineering or related software engineering roles
• Expert-level experience with Databricks, including PySpark, Delta Lake, Databricks workflows, Lakehouse architecture

• Strong Python development skills  

• Advanced SQL expertise

• Strong experience with multiple database platforms (SQL Server, MySQL, PostgreSQL, Oracle, DB2, etc.) 

• Proven experience designing and building scalable ETL/ELT pipelines

• Strong experience with cloud-based data platforms (Azure or AWS)

• Strong understanding of data warehousing and lakehouse architectures

• Storng experience working with structured and semi-structured data

• Experience working with NoSQL or distributed data platforms(MongoDB, Cassandra, Hadoop ecosystem) 

Preferred Experience & Additional Skills:

• Experience with Microsoft Fabric, including: Fabric Data Factory, Fabric Lakehouse / OneLake, Data Engineering workloads, Power BI integration 

• Experience with Snowflake 

• Experience with workflow orchestration tools(Airflow, Prefect, Dagster) 

• Experience with streaming or event-driven data platforms(Kafka, Spark Streaming, etc.) 

• Experience integrating with REST APIs or building API-based data services 

• Experience building distributed cloud systems or microservices with modern technology frameworks(C#. Net / Java / NodeJS, etc.)

• Familiarity with CI/CD pipelines and DevOps practices

• Experience integrating data from enterprise ERP systems, such as: SAP, NetSuite, Oracle Financials, Workday, or similar financial or operational platforms 

What Makes You Successful in This Role: 

• You enjoy building scalable, production-grade software systems  

• You take ownership of technical solutions and engineering quality  

• You enjoy solving complex integration and modernization challenges  

• You communicate effectively with both technical teams and business stakeholders  

• You are comfortable working across both frontend and backend technologies  

• You thrive in environments with evolving requirements and competing priorities  

• You bring curiosity, adaptability, and a collaborative engineering mindset  

• You can balance technical excellence with practical business outcomes 

Location: Portland, OR