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Trainee Databricks Data Engineer Jobs in Waterloo, IA

Jobtailor

Data Architect

Cedar Falls, IA · On-site

$140 - $210/hr

... or analytics engineering. * Proven experience designing and implementing large‑scale cloud data architectures (AWS preferred). * Hands‑on expertise with Databricks and/or Snowflake in a ...

FocusKPI

Marketing Operations Analyst

Waterloo, IA · On-site

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 ...

FocusKPI

Marketing Operations Analyst

Waterloo, IA · On-site

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 ...

Compass Group

LEAD JANITOR

Waverly, IA · On-site

$15/hr

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... Provides feedback on new associates during orientation period; reviews trainee records to ensure ...

All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Waterloo, IA

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 Aug 10, 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.

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.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Waterloo, IA? For Trainee Databricks Data Engineer jobs in Waterloo, IA, the most frequently searched job titles are:
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:
Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in Waterloo, IA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,907 per year, or $61.5 per hour.

Data Architect

Jobtailor

Cedar Falls, IA • On-site

$140 - $210/hr

Other

Posted 5 days ago

Job description

Responsibilities
  • Define and own the data architecture strategy across all environments, platforms, and data domains.
  • Establish and maintain architectural standards, patterns, and best practices for data ingestion, storage, modeling, and consumption.
  • Design scalable, secure, and resilient data architectures on AWS, including data lake, lakehouse, warehouse, and serving layers.
  • Define and champion a Medallion (bronze/silver/gold) architecture, establishing standards for raw, refined, and curated data layers and the promotion patterns between them.
  • Lead the platform direction of AgencyBloc's cloud data warehouse/lakehouse, defining how each is used, where workloads run, and how cost and performance are managed.
  • Establish data modeling standards (dimensional, Data Vault, and other patterns) that balance flexibility, performance, and maintainability.
  • Define standards for batch and streaming pipelines, ETL/ELT frameworks, orchestration, and reuse patterns across teams.
  • Lead tool and platform selection decisions (warehouse/lakehouse, ingestion, transformation, orchestration, catalog, BI), ensuring alignment with long‑term strategy.
  • Conduct architecture reviews and provide guidance on complex or high‑impact data initiatives.
  • Collaborate with engineering leadership to align data capabilities with product and business priorities.
  • Define and own the data governance strategy, including data cataloging, lineage, classification, and ownership models.
  • Establish data quality standards and frameworks, including validation, monitoring, and remediation practices.
  • Partner with security and compliance teams to enforce secure‑by‑design principles for sensitive and regulated data, including access controls, encryption, masking, and PII handling (SOC 2 and relevant standards).
  • Define data retention, archival, and lifecycle management standards.
  • Partner with the DevOps Architect to define data pipeline observability standards, including monitoring, alerting, and SLAs/SLOs for freshness, completeness, and reliability, ensuring alerts surface high‑quality, actionable signals tied to business impact with minimal noise.
  • Establish practices for cost monitoring and optimization across data platforms.
  • Drive standardization and reduction of tool and pattern fragmentation across data teams.
  • Mentor data engineers and senior data engineers, providing technical leadership and architectural guidance.
  • Define the organization’s approach to enabling AI and ML workloads on the data platform, including feature data, governance, and adoption strategy.
  • Establish patterns for delivering trusted, well‑governed data to AI/ML and analytics use cases.
  • Evaluate emerging data and AI capabilities and incorporate them into the platform roadmap where they provide measurable value.
Requirements
  • Bachelor’s degree in Computer Science or equivalent experience preferred.
  • 10+ years of experience in data engineering, data architecture, or analytics engineering.
  • Proven experience designing and implementing large‑scale cloud data architectures (AWS preferred).
  • Hands‑on expertise with Databricks and/or Snowflake in a production environment.
  • Demonstrated experience designing and implementing Medallion (bronze/silver/gold) architectures.
  • Strong experience with data modeling (dimensional, Data Vault, and related patterns) for analytical and operational use cases.
  • Deep experience with ETL/ELT design, orchestration, and batch and streaming data pipelines at scale.
  • Strong understanding of data governance, cataloging, lineage, and data quality frameworks.
  • Expertise in data security and compliance, including access management, encryption, and PII handling (SOC 2 and similar frameworks).
  • Strong background in SQL, automation, scripting, and modern data engineering practices (e.g., IaC and CI/CD for data).
  • Experience evaluating and selecting data tools and platforms.
  • Experience leading cross‑team technical initiatives and influencing engineering direction.
  • Strong communication skills, with the ability to translate complex technical concepts to non‑technical stakeholders.
  • Experience working in insurance, InsurTech, or other regulated industries is a plus.
  • Strategic thinking and long‑term planning.
  • Systems design and architectural decision‑making.
  • Cross‑team influence and alignment.
  • Balancing standardization with team autonomy.
  • Pragmatic execution and decision‑making.
Certifications & Qualifications
  • Bachelor’s degree in Computer Science
  • SOC 2 compliance
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