Data Engineer II: Scalable Pipelines in Azure & Databricks

Fhlbtopeka; Topeka (KS); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Bankwide incentive

401K plan with match

Health insurance

Paid Time Off

Disability coverage

Life insurance

Wellness program

Tuition reimbursement

Onsite fitness center

Summer hours

Job summary

FHLBank Topeka is seeking a Data Engineer to design, build, and maintain data pipelines for enterprise reporting and data modernization. You will develop batch and streaming solutions, automate ETL/ELT processes, and ensure low-latency, fault-tolerant operations in a collaborative environment.

The role emphasizes data governance, cross-functional collaboration, and mentoring junior staff while delivering scalable cloud-based data platforms using Azure and Databricks.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Business, or related field; or equivalent combination of education and experience.
• 4–6 years of data engineering or related professional experience.
• Strong experience with SQL Server, Azure, Databricks, ETL/ELT processes, job scheduling, and data streaming services.
• Experience building scalable, production-ready end-to-end data solutions in cloud or big data platforms.
• Strong programming and scripting skills, including Python.
• Experience with REST APIs for data ingestion.
• Experience supporting production operations in a DevOps environment.
• Knowledge of data warehousing concepts and data modeling standards.
• Strong analytical, problem-solving, and root cause analysis skills.
• Ability to communicate technical concepts clearly to both technical and non-technical audiences.
• Experience with C#, VB, or similar object-oriented programming languages for maintaining legacy ETL applications.
• Experience with data visualization and reporting tools such as Power BI or IBM Cognos.
• Passion for data analysis and storytelling with data.
• Experience working with IT leadership to establish and improve data management processes and procedures.
• Demonstrated ability to mentor junior team members and work effectively in a collaborative, team-oriented environment.

Responsibilities

• Design, develop, test, and deploy batch and streaming data ingestion pipelines across multiple data domains.
• Build and automate ETL/ELT processes using scripting languages, ETL tools, and job scheduling software.
• Use Azure technologies and Databricks to develop scalable, reliable, and high-performing data pipelines.
• Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather requirements and deliver data solutions.
• Provide production support, system monitoring, troubleshooting, and root cause analysis.
• Collaborate with audit and governance partners to document data lineage and support data audits.
• Guide junior team members, contribute technical leadership, and communicate effectively with technical and non-technical stakeholders.

Skills

Analytical thinking

Problem solving

Communication

Mentoring

Education

Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Business, or related field

Tools

Azure

Databricks

REST APIs

Job description

FHLBank Topeka is seeking a Data Engineer to design, build, and maintain data pipelines for enterprise reporting and data modernization. You will develop batch and streaming solutions, automate ETL/ELT processes, and ensure low-latency, fault-tolerant operations in a collaborative environment.

The role emphasizes data governance, cross-functional collaboration, and mentoring junior staff while delivering scalable cloud-based data platforms using Azure and Databricks.