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Weekend Amazon Data Engineer Jobs in Milwaukee, WI

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic planning and execution of data-driven projects - Overseeing the deployment ...

... 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 ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

... through data-driven decisions and analytical problem-solving. You will also play a key role in ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ... degree in Engineering, Operations, Supply Chain/Logistics, or a related field. - Industry ...

... AI&Data including hands on experience with one of the following key platforms/products; Amazon ... Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science ...

Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality ... Amazon (blue badge/FTE) experience - Work a flexible schedule/shift/work area, including weekends ...

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Weekend Amazon Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

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

As of Jun 14, 2026, the average yearly pay for weekend amazon data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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 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 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 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 Milwaukee, WI? The most popular types of Amazon Data Engineer jobs in Milwaukee, WI are:
What job categories do people searching Weekend Amazon Data Engineer jobs in Milwaukee, WI look for? The top searched job categories for Weekend Amazon Data Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Weekend Amazon Data Engineer jobs? Cities near Milwaukee, WI with the most Weekend Amazon Data Engineer job openings:
Big Data Engineer || Remote

Big Data Engineer || Remote

Cerebra Consulting Inc

Milwaukee, WI โ€ข Remote

$55 - $72.75/hr

Other

Posted 5 days ago


Job description

Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

Role : Big Data Engineer

100% Remote

Contract to hire

W2 Only

First Round Interview 60 minutes TEAMS coding exercise

Second Round Interview 90 minute interview, they will actually have you do a paired programming session to see how you interact and what your thought process is when going through the code

Must Have:

  • Python, SQL, Google Cloud Platform(BQ), Spark, Airflow
  • Google Cloud Platform Shop - using Big Query
  • Does NOT want a machine learning engineer, wants a big data engineer

Required Skills:

5-10 years of experience

Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL databases, Apache Kafka, writing complex sql queries, Google Cloud Platform (Bigquery, Dataproc), working with RESTful APIs in data pipelines, CI/CD (gitlab CI)

Bonus Skills:

Experience with backend stack (Java, Springboot)

Thanks & Regards,

Himanshu Mishra | US IT Recruiter? | Cerebra Consulting Inc,

270 Lancaster Ave, Suite-D2, Malvern, PA 19355

Contact : EXT : 122

Email :