Databricks Data Engineer
Posted 18 Sep 2026
Advertised as “Senior Databricks Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 5+ yrs
- Management level
- People management
No salary listed for this role.
CertificationsDatabricks Certified Data Engineer Associate
Field of studyComputer Science, Data Analytics, Engineering, Information Systems (or related)
Study levelBachelor's
CertificationsDatabricks Certified Data Engineer Professional
About Us
Capital Farm Credit is the largest rural lending cooperative in Texas, serving 192 counties through nearly 70 credit offices. With over $12 billion in assets and more than 600 team members, we provide essential financial services to farmers, ranchers, rural homeowners, and agribusinesses. As part of the nationwide Farm Credit System, we are dedicated to supporting rural communities and agriculture.
Why Join Us?
We seek motivated individuals who share our core values: commitment, trust, value, and family-like respect. As a customer-owned cooperative, we align employee success with member success, offering competitive pay, growth opportunities, and a supportive environment.
Our Benefits:
- Incentive Program: Company-wide, goals-based rewards.
- Accrued Time Off: Earn 13 days of annual leave and 15 days of sick leave per year, plus enjoy 10-12 paid holidays annually.
- Retirement: 401(k) with up to 9% employer contribution/match.
- Health Coverage: Affordable medical, dental, and vision plans.
- Parental Leave: 8 weeks of paid parental leave.
- Life & Disability Insurance: Employer-paid coverage.
- Education & Wellness: Tuition reimbursement and up to $400 for wellness expenses.
At Capital Farm Credit, you’ll find more than a job—you’ll find purpose.
EDUCATION AND EXPERIENCE
- Bachelor’s degree in computer science, Information Systems, Engineering, Data Analytics, or a related field, or an equivalent combination of education and experience.
- Five (5) or more years of hands-on data engineering experience using Azure, Databricks, or comparable cloud data platforms, including two (2) or more years serving as a senior engineer, technical lead, or mentor on data engineering teams or projects.
- Demonstrated experience in Databricks, Spark, PySpark, Delta Lake, Unity Catalog, SQL, Python, notebooks, jobs, clusters, and Lakehouse architecture is required.
- Experience with Azure Data Lake Storage (ADLS), Azure SQL, Key Vault, managed identities, ETL/ELT processes, dimensional modeling, and cloud security fundamentals is required.
- Experience designing data solutions that support analytics, machine learning, artificial intelligence, governed enterprise reporting, and secure data consumption use cases is also required, including knowledge of AI/ML data preparation practices such as feature engineering, model-ready data design, data quality, lineage, and secure access to sensitive data.