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Data Jobs in Waterloo, IA (NOW HIRING)

Jobtailor

Data Architect

Cedar Falls, IA · On-site

$140 - $210/hr

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 ...

Bespoke Labs

Data Engineer

Waterloo, IA · On-site

$106K - $128K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

RD SOLUTIONS INC

Data Scanning Associate

Reinbeck, IA · On-site

$15.50 - $20/hr

  • Retirement

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

RetailData

Data Collection Representative

Reinbeck, IA · On-site

  • Retirement

We are immediately hiring part time Field Representatives in your area! Are you a military spouse and looking for supplemental income? Make extra spending money to help with your car payment, social ...

RetailData

Data Scanning Associate

Reinbeck, IA · On-site

$15.50 - $20/hr

  • Retirement

Field Representative - Flexible Schedules For College Students - No Experience Needed Flexible schedules, you can work within the assigned window anytime the store is open! Need to study for a final?

FocusKPI

Marketing Operations Analyst

Waterloo, IA · On-site

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

IDEX

JDE Integration Specialist- SDFC

Cedar Falls, IA · On-site

You design the data flows, write the middleware, monitor the sync health, and ensure that when a new BU onboards or a regional JDE instance (India, China) comes online, the integration is clean ...

IDEX

JDE Integration Specialist- SDFC

Cedar Falls, IA · On-site

$90 - $120/hr

You design the data flows, write the middleware, monitor the sync health, and ensure that when a new BU onboards or a regional JDE instance (India, China) comes online, the integration is clean ...

BankIowa

Loan Operations Specialist

Independence, IA · On-site

This role is responsible for the accurate booking, maintenance, and verification of loan data and documentation within the bank's core and ancillary systems to support data governance, regulatory ...

BankIowa

Loan Operations Specialist

Independence, IA · On-site

This role is responsible for the accurate booking, maintenance, and verification of loan data and documentation within the bank's core and ancillary systems to support data governance, regulatory ...

BankIowa

Loan Operations Specialist

Independence, IA · On-site

This role is responsible for the accurate booking, maintenance, and verification of loan data and documentation within the bank's core and ancillary systems to support data governance, regulatory ...

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Showing results 1-20

All JobsData JobsData Jobs in Waterloo, IA

Data information

See Waterloo, IA salary details

$45.4K

$162.7K

$240.1K

How much do data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data in Waterloo, IA is $162,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $167,600.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Waterloo, IA?

The most popular types of Data jobs in Waterloo, IA are:

What cities near Waterloo, IA are hiring for Data jobs?

Cities near Waterloo, IA with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Waterloo, IA as of August 2026, with employment types broken down into 67% Full Time, 17% Part Time, 8% Contract, and 8% Nights. Highlights an 100% In-person job distribution, with an average salary of $162,716 per year, or $78.2 per hour.

Data Architect

Jobtailor

Cedar Falls, IA • On-site

$140 - $210/hr

Other

Posted 14 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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