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Senior Amazon Data Engineer Jobs in Waterloo, IA

Jobtailor

Data Architect

Cedar Falls, IA · On-site

$140 - $210/hr

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 ...

Hydrite

Senior Engineer

Waterloo, IA · On-site

$103K - $141K/yr

As a Senior Engineer, primary responsibilities include: * Leads and supports Hydrite's Safety ... Basic data requirements include mass & energy balances/process kinetics, current equipment lists ...

Hydrite

Senior Engineer

Waterloo, IA · On-site

$103K - $141K/yr

As a Senior Engineer, primary responsibilities include: * Leads and supports Hydrite's Safety ... Basic data requirements include mass & energy balances/process kinetics, current equipment lists ...

Hydrite

Senior Engineer

Waterloo, IA

$103K - $141K/yr

As a Senior Engineer, primary responsibilities include: * Leads and supports Hydrite's Safety ... Basic data requirements include mass & energy balances/process kinetics, current equipment lists ...

Ethos

Senior Mechanical Design Engineer

Waterloo, IA

$88K - $122K/yr

Maintain system and product database by writing computer programs and entering data. Requirements * Bachelor's Degree in Mechanical Engineering required. * Senior-level/experienced Engineer with 5+ ...

Ethos

Senior Mechanical Design Engineer

Waterloo, IA · On-site

$83K - $115K/yr

Maintain system and product database by writing computer programs and entering data. Requirements * Bachelor's Degree in Mechanical Engineering required. * Senior-level/experienced Engineer with 5+ ...

Ethos

Senior Mechanical Design Engineer

Waterloo, IA · On-site

$83K - $115K/yr

Maintain system and product database by writing computer programs and entering data. Requirements * Bachelor's Degree in Mechanical Engineering required. * Senior-level/experienced Engineer with 5+ ...

DHI Group, Inc.

Software Engineer - Dice

Denver, IA · On-site

... senior engineers and a clear path forward. You'll work closely with Product, Design, and Data to ... turn real candidate and recruiter problems into shipped outcomes. If that sounds like your kind of ...

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Senior Amazon Data Engineer information

See Waterloo, IA salary details

$79.9K

$124.6K

$172.6K

How much do senior amazon data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior amazon data engineer in Waterloo, IA is $124,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $142,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.
What are popular job titles related to Senior Amazon Data Engineer jobs in Waterloo, IA? For Senior Amazon Data Engineer jobs in Waterloo, IA, the most frequently searched job titles are:
What job categories do people searching Senior Amazon Data Engineer jobs in Waterloo, IA look for? The top searched job categories for Senior Amazon Data Engineer jobs in Waterloo, IA are:
Senior Amazon Data Engineer jobs near you

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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