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Senior Amazon Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing Data Practice. This person will work closely with our customers to manage, transfer, manipulate, or ...

Azure Data Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

I have an opportunity for " Azure Data Engineer " and looking for a candidate who can join ... Sr Technical Recruiter 224-296-3522 | syed@navtechusa.com NAVTECH INC Disclaimer: We respect your ...

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Sr. Data Engineer, EDM

Minnetonka, MN · On-site

$116K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will partner with data engineers, architects, analysts, and business subject-matter experts to interpret source data, document business rules, resolve data-quality issues, and make high-value ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

  • Retirement

Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows * DevOps, Automation & Infrastructure-as-Code * Implement infrastructure and data platform ...

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with cross functional teams (analytics, product, engineering, business ...

Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration * Collaborate with cross functional teams (analytics, product, engineering, business ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

  • Retirement

Establish data quality standards including validation rules, anomaly detection, and reconciliation workflows * DevOps, Automation & Infrastructure-as-Code * Implement infrastructure and data platform ...

Senior Data Engineer

Eden Prairie, MN · Remote

$91K - $163K/yr

  • Retirement

Data mining and analytics to identify service opportunities * Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling ...

Showing results 41-60

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 Minnesota?

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

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

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

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

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

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

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

Infographic showing various Senior Amazon Data Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

Solution Design Group

Minneapolis, MN • On-site, Remote

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team. 

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing Data Practice.  This person will work closely with our customers to manage, transfer, manipulate, or integrate data to ensure exceptional performance for their business. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. A successful Data Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.
SDG's Data Engineers have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design and development of relational and non-relational databases, data warehouses and data lakes using databases such as SQL Server, PostgreSQL, MySQL, and Oracle
  • Development, monitoring, and maintenance of data integration and processing tools and pipelines using tools such as SSIS, Informatica, Domo, dbt, or other related ETL tooling
  • Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query optimization
  • Development utilizing languages such as Python, Java, JavaScript or C#
  • Experience using messaging middleware such as RabbitMQ, ActiveMQ, MSMQ and IBM MQ or other related technologies
  • Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business Objects or other related Analytics tools
  • Familiarity with security and security policies
  • Experience with Cloud based platforms such as AWS or Azure
Requirements:
  • 5+ years of professional data development experience
  • Experience delivering solutions in large scale enterprise environments 
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with various ETL tools
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Experience with Databricks is a bonus
  • Experience with DBT is a bonus
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience
What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned 
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 and 2025
  • Engaged teammates who care about quality solutions 
  • Challenging and rewarding work with great customers 
  • Various opportunities to give back to the community 
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer's via internal communities, committees, and events - virtually and in person
 
SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $120,000 - $140,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.
 
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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