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Trainee Databricks Data Engineer Jobs in Waterloo, IA

Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Trainee Databricks Data Engineer information

See Waterloo, IA salary details

$43.9K

$127.9K

$175K

How much do trainee databricks data engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for trainee databricks data engineer in Waterloo, IA is $127,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $135,600.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.
What job categories do people searching Trainee Databricks Data Engineer jobs in Waterloo, IA look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Waterloo, IA are:
Infographic showing various Trainee Databricks Data Engineer job openings in Waterloo, IA as of June 2026, with employment types broken down into 4% As Needed, 63% Full Time, 29% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $127,907 per year, or $61.5 per hour.
Senior Data Engineer - FT

Senior Data Engineer - FT

Veridian Credit Union

Cedar Falls, IA • On-site

$98K - $133K/yr

Full-time

Posted 17 days ago

Be an early applicant


Veridian Credit Union rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

This is a hybrid position that requires the individual to work 2 days a week from our location in Cedar Falls, IA.

WANT TO BE A PART OF AN AWARD WINNING TEAM, APPLY TODAY!!

Take a look at all our great benefits here!

Location: Cedar Falls, IA

Full-time, Exempt, Hybrid eligible


Summary

The Senior Data Engineer serves as a technical leader responsible for optimizing Veridian’s modern data ecosystem. This role delivers scalable, secure, high performing data pipelines and cloud-based data products that support analytics, reporting, operational decision making, and automation across the credit union. The Senior Data Engineer partners closely with IT and stakeholders to deliver trusted, governed, and well architected data solutions that enable Veridian to better serve members.


Essential Functions
  • Implement hybrid data architecture patterns, supporting both on-premises SQL Server and Azure cloud data platforms.
  • Build, optimize, and maintain ingestion, transformation, and storage processes using Azure Data Factory and Databricks.
  • Develop and enhance medallion-layer (bronze/silver/gold) data models within the Azure lake house environment.
  • Apply and enforce change management policies, version control, CI/CD, and environment lifecycle standards.
  • Ensure compliance with PCI, data privacy, and security standards within BI operations.
  • Implement data quality frameworks, automated validation checks, and observability for reliable operations.
  • Develop and optimize data extraction, transformation, and automation processes using Monarch.
  • Create and maintain data pipelines, datasets, data flows, data dictionaries, and operational processes.
  • Query production databases as needed, including but not limited to PCI data.
  • Document pipelines, datasets, data flows, data dictionaries, and operational processes.
  • Mentor data engineers in modern engineering practices.
  • On call availability required for system support as needed (including nights and weekends).
Key Attributes
  • Oral and written communication skills.
  • Member service focus.
  • Attention to detail and accuracy.
  • Positive attitude that supports a team environment.
  • Dependable and punctual; flexible during peak times.
  • High level of confidentiality.
  • Organizational skills.
  • Self-motivated; ability to work without close supervision.
  • Problem solving; analysis.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:

  • Occasionally lift and/or move items over 10 pounds.
  • Remain sedentary (seated) for extended periods of time.
Working Conditions

This job operates in a professional office environment and routinely uses standard office equipment.

Travel

Limited travel expected.

Required Education and Experience
  • Bachelor's Degree in Computer Science, Management Information Systems or related field, or equivalent combination of education, training, and experience of 8+ years.
  • 6+ years progressive experience in Business Intelligence.
  • 3+ years of experience working with multiple data sources and producing high-quality, reliable datasets.
  • Experience implementing CI/CD, version control, and deployment automation.
  • 1+ year of experience overseeing several initiatives at a time and adjusting for competing priorities.
Preferred Education and Experience
  • Experience with Azure Data Factory, Databricks, and Azure Data Lake a plus.
  • Knowledge of PCI DSS requirements.
  • Familiarity with data governance standards.
Other Duties

Veridian Credit Union is a PCI compliant financial institution to ensure the security of member information. As such, all employees are expected to ensure security measures are in place and adhered to regarding PCI and other highly secure data compliance requirements.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.


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