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Senior Amazon Data Engineer Jobs in Wisconsin (NOW HIRING)

Urus

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Farm Systems

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

AgSource

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected. Responsibilities Data Integration * Design, develop, and maintain robust and efficient ETL ...

Deloitte

Senior Forward Deployed Engineer- AWS

Milwaukee, WI · On-site

$103K - $141K/yr

... AI&Data including hands on experience with one of the following key platforms/products: Amazon ... senior stakeholders and engineers to bring measurable business impact from day one. Additional ...

Navanta, LLC

Lead Data Engineer

Grafton, WI · On-site

$112K - $135K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

Navanta, LLC

Lead Data Engineer

Grafton, WI

$112K - $135K/yr

Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML ... engineering to deliver governed, queryable data products KPIs Data freshness and pipeline ...

TiTANS Consulting

WI · On-site

$68.51 - $102.76/hr

De Data Engineer speelt een sleutelrol in de ontwikkeling van verschillende componenten van het data platform (data validatie-engine, master- en referentie data hub). De rol combineert ...

Latent AI

WI · On-site

$90 - $120/hr

Data Engineer (Starship) The Starship Supply Chain team is building the machine that builds the ... senior executives. * Collaborate with central software teams on a shared vision for the software ...

Devoteam Alegri GmbH

WI · On-site

$65 - $80/hr

Young Graduates - Databricks Data & AI Engineer Are you a recent graduate eager to launch your ... The Senior Azure Cloud‑Native Developer/Architect will be responsible for architecting ...

Hive-X

WI · On-site

$110 - $150/hr

Data Engineer in the IT Front Data Team. Goal of the mission: Support the projects: Transparency ... Senior. Years of Experience: 10 yr + #J-18808-Ljbffr

Saic

WI · On-site

$120 - $160/hr

Description SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role is central to ...

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Hive-X

WI · On-site

$120 - $150/hr

Data Engineer in the IT Front Data Team Goal of the mission: Support the projects: Transparency ... Seniority Expected Senior Years of Experience 10 yr + Required Skills * AWS (Glue, S3, Redshift)

Lake Michigan Credit Union

WI · On-site

$140 - $190/hr

This role manages Senior Data Engineer resources, establishes data engineering standards, oversees delivery and operational support, and ensures data solutions are scalable, reliable, secure, and ...

DTN (Data Transmission Network)

WI · On-site

$120 - $145/hr

Senior Data Engineer We are looking for a highly skilled Senior Data Engineer to lead the evolution of our modern data and analytics architecture. This role ensures the quality, integrity ...

Soteria Reinsurance Ltd.

WI · On-site

$150 - $210/hr

Advises senior management on technical strategy.* Mentors junior team members.* Performs ... and Amazon RDS; performing data modeling, OLTP/OLAP design, and writing complex SQL queries to ...

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Senior Amazon Data Engineer information

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 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 are the most commonly searched types of Amazon Data Engineer jobs in Wisconsin?

The most popular types of Amazon Data Engineer jobs in Wisconsin are:

What are popular job titles related to Senior Amazon Data Engineer jobs in Wisconsin?

For Senior Amazon Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Wisconsin look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Amazon Data Engineer jobs?

Cities in Wisconsin with the most Senior Amazon Data Engineer job openings:

Senior Amazon Data Engineer jobs near you

Senior Data Engineer

Urus

Watertown, WI

$101K - $137K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Design, develop, and maintain data integration pipelines and processes on Databricks, including troubleshooting and optimizing performance.

  • Develop and maintain Databricks pipelines and datasets using Python, Spark, and SQL, supporting analytics and AI/ML workloads.

  • Collaborate with business users to understand data requirements and maintain reporting tools such as SSRS reports and dashboards.

Job description

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected.

Responsibilities

Data Integration

  • Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.

  • Troubleshoot and resolve Databricks pipeline errors and performance issues.

  • Troubleshoot and resolve SSIS package errors and performance issues.

  • Optimize data flow performance and minimize data latency.

  • Implement data quality checks and validations within ETL processes.

  • Maintain legacy SSIS packages for ETL processes.

Databricks Development

  • Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.

  • Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and AI/ML workloads.

  • Optimize Databricks jobs for performance and cost-effectiveness.

  • Integrate Databricks with other data sources and systems.

  • Migrate legacy systems (e.g. SSIS packages, SQL Server procs) to Databricks pipelines.

Data Warehousing

  • Participate in the design and implementation of data warehousing.

  • Support data quality initiatives and implement data cleansing procedures.

Reporting and Analytics

  • Collaborate with business users to understand data requirements for department driven reporting needs.

  • Maintain existing library of complex SSRS reports, dashboards, and visualizations.

  • Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.

Collaboration and Communication

  • Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.

  • Collaborate effectively with business users, data analysts, and other IT teams.

  • Communicate technical information clearly and concisely, both verbally and in writing.

  • Document all development work and procedures thoroughly.

Continuous Growth

  • Keep abreast of the latest advancements in data integration, reporting, data engineering.

  • Actively contribute to company's AI-assisted tooling, strategies, and best practices.

  • Continuously improve skills and knowledge through training and self-learning.

Requirements

  • Bachelor's Degree in Computer Science, Information Systems, or a related field.

  • 7+ years of experience in data integration and reporting.

  • Extensive experience with Databricks, including Python, Spark, and Delta Lake

  • Experience with data warehousing concepts and best practices.

  • Strong proficiency with AI-assisted development tools.

  • Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.

  • Experience with SSIS (SQL Server Integration Services) development and maintenance.

  • Experience with SSRS (SQL Server Reporting Services) report design and development.

  • Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills.

  • Ability to work independently and as part of a team.

  • Experience with Agile methodologies.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.


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