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Data Engineer Manager Jobs in Waterloo, IA (NOW HIRING)

Data Architect

Cedar Falls, IA ยท On-site

$140 - $210/hr

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 ...

Senior Engineer

Waterloo, IA

$103K - $141K/yr

Basic data requirements include mass & energy balances/process kinetics, current equipment lists ... Work with site management to maintain workload balances. Provides back-up support as necessary.

Senior Engineer

Waterloo, IA ยท On-site

$103K - $141K/yr

Basic data requirements include mass & energy balances/process kinetics, current equipment lists ... Work with site management to maintain workload balances. Provides back-up support as necessary.

Senior Engineer

Waterloo, IA ยท On-site

$103K - $141K/yr

Basic data requirements include mass & energy balances/process kinetics, current equipment lists ... Work with site management to maintain workload balances. Provides back-up support as necessary.

Mechanical Design Engineering Manager The Mechanical Design Engineering Manager is responsible for ... Apply DFMEA, lessons learned, warranty data, and field feedback to improve durability, safety, and ...

Mechanical Design Engineering Manager

Waterloo, IA ยท On-site

$96K - $133K/yr

Mechanical Design Engineering Manager The Mechanical Design Engineering Manager is responsible for ... Apply DFMEA, lessons learned, warranty data, and field feedback to improve durability, safety, and ...

Mechanical Design Engineering Manager The Mechanical Design Engineering Manager is responsible for ... Apply DFMEA, lessons learned, warranty data, and field feedback to improve durability, safety, and ...

Mechanical Design Engineering Manager

Waterloo, IA ยท On-site

$96K - $133K/yr

Mechanical Design Engineering Manager The Mechanical Design Engineering Manager is responsible for ... Apply DFMEA, lessons learned, warranty data, and field feedback to improve durability, safety, and ...

Senior Software Engineer

Waterloo, IA ยท On-site

$120K - $159K/yr

... Manager to shape technical strategy, roadmap, and architecture runway * Mentor and grow engineers ... Data Integration and API Design Experience with RESTful APIs, plus familiarity with data pipelines ...

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Controls Engineer

Waterloo, IA ยท On-site

$82K - $106K/yr

... ensures reliable data collection and historian integrations to support safe and efficient ... Lead and execute control system changes in accordance with Hydrite's Management of Change (MOC ...

Controls Engineer

Waterloo, IA ยท On-site

$82K - $106K/yr

... ensures reliable data collection and historian integrations to support safe and efficient ... Lead and execute control system changes in accordance with Hydrite's Management of Change (MOC ...

Controls Engineer

Waterloo, IA ยท On-site

$82K - $106K/yr

... ensures reliable data collection and historian integrations to support safe and efficient ... Lead and execute control system changes in accordance with Hydrite's Management of Change (MOC ...

Controls Engineer

Cedar Falls, IA ยท On-site

$77K - $100K/yr

... ensures reliable data collection and historian integrations to support safe and efficient ... Lead and execute control system changes in accordance with Hydrite's Management of Change (MOC ...

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Data Engineer Manager information

See Waterloo, IA salary details

$43.9K

$127.9K

$175K

How much do data engineer manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data engineer manager 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 does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

How much does a data engineer manager make?

A data engineer manager typically earns between $110,000 and $160,000 annually, depending on experience, location, and company size. They often oversee data teams, manage data pipelines, and require strong skills in SQL, cloud platforms, and leadership. Salaries can vary based on industry demand and certifications held.

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

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

What are popular job titles related to Data Engineer Manager jobs in Waterloo, IA?

For Data Engineer Manager jobs in Waterloo, IA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Manager jobs in Waterloo, IA look for?

The top searched job categories for Data Engineer Manager jobs in Waterloo, IA are:

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

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

Infographic showing various Data Engineer Manager job openings in Waterloo, IA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, 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 โ€ข On-site

$140 - $210/hr

Other

Posted 15 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 longโ€‘term strategy.
  • Conduct architecture reviews and provide guidance on complex or highโ€‘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 secureโ€‘byโ€‘design principles for sensitive and regulated data, including access controls, encryption, masking, and PII handling (SOCโ€ฏ2 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 highโ€‘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 organizationโ€™s approach to enabling AI and ML workloads on the data platform, including feature data, governance, and adoption strategy.
  • Establish patterns for delivering trusted, wellโ€‘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
  • Bachelorโ€™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 largeโ€‘scale cloud data architectures (AWS preferred).
  • Handsโ€‘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 (SOCโ€ฏ2 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 crossโ€‘team technical initiatives and influencing engineering direction.
  • Strong communication skills, with the ability to translate complex technical concepts to nonโ€‘technical stakeholders.
  • Experience working in insurance, InsurTech, or other regulated industries is a plus.
  • Strategic thinking and longโ€‘term planning.
  • Systems design and architectural decisionโ€‘making.
  • Crossโ€‘team influence and alignment.
  • Balancing standardization with team autonomy.
  • Pragmatic execution and decisionโ€‘making.
Certifications & Qualifications
  • Bachelorโ€™s degree in Computer Science
  • SOCโ€ฏ2 compliance
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