ZipRecruiter

Log In

1

Weekend Amazon Data Engineer Jobs in Minnesota (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data ... Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) • 5+ years of ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$109.10K - $149.80K/yr

Join Deloitte's AI & Engineering practice and help organizations transform enterprise technology platforms, modernize data environments, and unlock value through innovation. As a Senior Consultant ...

Pwc

Data Engineer - Manager

Minneapolis, MN · On-site

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Omni Inclusive

Data Engineer - III

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Education • Bachelor's degree and a minimum of 7 years of related work experience. • Amazon Web ... This role is a part of the Treasury Services' Data Engineering team for a large-scale program. You ...

next page

Showing results 1-20

People also search for

All JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Minnesota

Weekend Amazon Data Engineer information

What are the key skills and qualifications needed to thrive as a Weekend Amazon Data Engineer, and why are they important?

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What does a typical weekend look like for an Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

What are Weekend Amazon Data Engineers?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

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 Weekend Amazon Data Engineer jobs in Minnesota? For Weekend Amazon Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Minnesota look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Weekend Amazon Data Engineer jobs? Cities in Minnesota with the most Weekend Amazon Data Engineer job openings:
Weekend Amazon Data Engineer jobs near you
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

Minneapolis, MN • On-site

$119.50K - $143.50K/yr

Full-time

Posted 6 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services

Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients leverage modern data platforms for analytics and business transformation. As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply