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Weekend Data Engineer Jobs in Wisconsin (NOW HIRING)

Vertex Group

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Data Engineer Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID Duration : 6 Months Contract to Hire heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience ...

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional ...

Delta Dental Of Wisconsin

Data Engineer

Stevens Point, WI · On-site

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high ...

CFS

Data Engineer

Madison, WI · On-site

$160K/yr

Sr. Data Engineer | Permanent | No Sponsorship Available ABOUT OUR CLIENT * The company is financially sound, yet their success is not just defined by their profits; it's about living their core ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ... and weekends) office hours to meet established deadlines • Able to travel independently to ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

MARS IT

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the ...

Baker Tilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

Senior Consultant - Associate Data Engineer As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our mid‑market and enterprise clients.

Fielmann USA

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... in computer science, data engineering, information systems, or related field or equivalent ... and weekends) office hours to meet established deadlines • Able to travel independently to ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Menomonie, WI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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Weekend Data Engineer information

What are Weekend Data Engineers?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the typical expectations and work patterns for a Weekend Data Engineer position?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

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

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.
What are the most commonly searched types of Data Engineer jobs in Wisconsin? The most popular types of Data Engineer jobs in Wisconsin are:
What are popular job titles related to Weekend Data Engineer jobs in Wisconsin? For Weekend Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer jobs in Wisconsin look for? The top searched job categories for Weekend Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Weekend Data Engineer jobs? Cities in Wisconsin with the most Weekend Data Engineer job openings:
Weekend Data Engineer jobs near you

Data Engineer

Vertex Group

Madison, WI • On-site

$115K - $138K/yr

Other

Posted 15 days ago

Job description

JOB Title: Data Engineer

Location: Minneapolis, MN and Madison, WI (Locals Only) HYBRID

Duration: 6 Months Contract to Hire

heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience necessary to be successful. Also must have the dbt experience as well!

Role Summary:

Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern cloud and Lakehouse architecture. This is a hitthegroundrunning role with minimal rampup.

  1. Key Responsibilities:
  • Design, build, and operate endtoend data pipelines
  • Source ingestion transformation analyticsready datasets
  • Develop transformations and data models using SQL and Python
  • Implement automated data quality checks and validations
  • Follow Gitbased development
  • Collaborate with business/domain stakeholders on data rules and definitions
  • Ensure solutions are secure, auditable, reliable, and supportable
  • Produce clear technical documentation and operational notes
  1. Required Technologies (MustHave)

Candidates must have strong, recent handson experience with most of the following:

Languages:

  • SQL
  • Python (PySpark preferred)

Data Platforms / Storage:

  • Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable)
  • Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
  • Object storage based data lakes
  • Parquet format
  • Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling:

  • dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD:

  • GitHub
  • Pull request based development
  • CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more):

  • Snowflake
  • Microsoft Fabric
  • Databricks
  1. Preferred / NicetoHave Technologies:
  • Microsoft Fabric Data Factory / Azure Data Factory
  • Fabric or Databricks Notebooks
  • Orchestration tools (Airflow, Dagster, or similar)
  • Healthcare / payer domain experience (Clinical, Claims, Provider)
  1. Required Experience:
  • 7+ years of handson data engineering experience
  • Proven delivery of productiongrade data pipelines
  • Experience working independently with minimal supervision
  • Strong understanding of data quality, reliability, and operational readiness
  1. Ideal Candidate Profile:
  • Senior, handson data engineer
  • Engineering generalist (not toolonly or reportingonly)
  • Comfortable working in ambiguous, fastmoving environments
  • Strong delivery and ownership mindset

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