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Weekend Data Engineer Jobs in Deerfield, IL (NOW HIRING)

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Data Engineer

Chicago, IL · On-site

$134K/yr

The Overview We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that ...

Data Engineer

Oak Brook, IL · On-site

$80K - $110K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

Data Engineer

Oak Brook, IL · On-site

$115K - $138K/yr

Document data engineering activities and processes. * Lead technical partner engagements. * Adhere to and enforce the appropriate information security policies based on the sensitivity of company ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects for Ascot US. This position will be responsible for the analysis, development, implementation ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Data Engineer

Chicago, IL · On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the ...

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data Engineer to join our talented and energetic team. The Data Engineer builds, maintains, and continuously ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data Warehouse, Python, SQL, Java Location: 100% Remote Overview: * Companyy (IT) vision and strategy consists of ...

Data Engineer

Chicago, IL · On-site

$175 - $225/hr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting‑edge environment that enables IMC to continue to be at ...

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Engineer Location: Chicago, IL Primary Skills: Business Intelligence, Azure, C#, Data Warehouse, Python, SQL, Java Location: 100% Remote Overview: * Companyy (IT) vision and strategy consists of ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Key Responsibilities Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake Build and optimize ELT/ETL processes for ...

Data Engineer

Chicago, IL · Remote

$117K - $140K/yr

10+ years of IT experience, including deep expertise in data engineering & ETL. 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines. Strong hands-on experience ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming raw data into analysis-ready assets while working with modern cloud platforms. Responsibilities : • ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI, transforming raw data into analysis-ready assets to drive client value. Responsibilities : • Design and ...

Data Engineer

Chicago, IL

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

Data engineer

Chicago, IL · On-site

$118K - $141K/yr

Looking for 2 to 4 years of professional experience as a Data engineer Chicago, IL. Skills required: SAAS, SQL, Snowflake and Airflow. * Strong SQL Skills: Proficiency in writing complex queries ...

Data Engineer

Chicago, IL · On-site

$105K - $126K/yr

Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA Infrastructure team. In this role, you will build data pipelines and infrastructure that enable ...

Data Engineer

Chicago, IL · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines, that enable the company to access, store, and process data effectively to support decision-making ...

Showing results 21-40

Weekend Data Engineer information

See Deerfield, IL salary details

$45.3K

$131.9K

$180.5K

How much do weekend data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data engineer in Deerfield, IL is $131,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a weekend data engineer?

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 are the key skills and qualifications needed to thrive as a weekend data engineer?

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 typical expectations and work patterns for a weekend data engineer?

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 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 most commonly searched types of Data Engineer jobs in Deerfield, IL?

The most popular types of Data Engineer jobs in Deerfield, IL are:

What are popular job titles related to Weekend Data Engineer jobs in Deerfield, IL?

For Weekend Data Engineer jobs in Deerfield, IL, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer jobs in Deerfield, IL look for?

The top searched job categories for Weekend Data Engineer jobs in Deerfield, IL are:

What cities near Deerfield, IL are hiring for Weekend Data Engineer jobs?

Cities near Deerfield, IL with the most Weekend Data Engineer job openings:

Data Engineer

Prolaio

Chicago, IL • On-site

$134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by uniting patients, care teams, and researchers on a secure, technology-enabled platform that drives clinical innovation and offers a path towards better patient outcomes.

This is precision cardiology, and we know it's within reach.

What Will You Do?

The Overview

We are seeking a skilled and motivated Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You'll work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation. This role will report to the Lead Data Engineer. We would love to find someone in the Chicagoland area who can collaborate with the team in the office, but are also open to the right candidate in another location.

The Specifics

  • Data Lake Implementation: Develop, manage and operate data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
  • Automation and Scripting: Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
  • Data Pipeline Development: Use Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
  • Security and Compliance: Work inside a regulated SDLC. Ensure that all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
  • Collaboration: Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
  • Problem Solving: Tackle complex technical challenges and contribute to continuous improvement initiatives.

Why Prolaio?

  • Impactful Work: You will join in the fight against heart failure (HF) and hypertrophic cardiomyopathy (HCM) with the goal of extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology.
  • Innovative Environment: You will be part of an organization doing something that's never been done before.
  • Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
  • Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are?

  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.
  • Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.
  • Data Warehousing: Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse.
  • Orchestration: Experience with Dagster, Airflow, Prefect or a comparable orchestrator.
  • Programming Skills: Proficiency in Python and SQL for data manipulation and automation.
  • Data Lakes: Experience with implementing and managing data lakes.
  • Communication Skills: Strong problem-solving, communication, and collaboration abilities.

Additional Qualifications (Nice to Haves)

  • Integration Experience: Building ingestion for third-party or clinical data sources, such as electronic data capture systems.
  • Healthcare Experience: Previous experience in the healthcare or pharmaceutical industry.
  • PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures.

Why You'll Love Working Here

  • Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
  • Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
  • Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
  • Time to Recharge: Generous paid time off, sick leave, and company holidays.
  • Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
  • Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
  • Plan for the Future: 401(k) plan to help you build long-term financial security.
  • Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.

Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)