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

Excel Sports Management

Data Engineer

Chicago, IL

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

Excel Sports Management

Data Engineer

Chicago, IL · On-site

$100K - $115K/yr

The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This ...

The Hartford

GCP Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves ...

SYSTEGRATION INC

Be Seen First

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa ...

SYSTEGRATION INC

Be Seen First

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

dbt / Data Engineer Direct Client Location: Des Plaines, IL -- Hybrid, ~50% onsite Engagement: Long-term contract Experience: At least 10 years in Data Engineering, minimum 4 years with dbt Visa ...

CP00001 Washington University in St Louis

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work with popular data discovery, analytics, and BI and AI tools in semantic-layer data discovery * Adept in agile methodologies and capable of applying DevOps and DataOps principles to data ...

Co-Sourcing Partners

GCP Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

GCP Data Engineer Duration: 6 months Contract to hire Location: Chicago is the preferred location, but open to candidates from anywhere in the U.S. Role Overview We are seeking a highly skilled GCP ...

Next Step Systems

Data Engineer, Trading

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Retirement

  • PTO

Data Engineer, Trading, Chicago, IL A proprietary trading firm is seeking a Data Engineer with Trading experience to join its Data Infrastructure team, to help improve and extend the data platform.

Rush University Medical Center

Data Engineer

Chicago, IL · On-site

$46.07 - $68.64/hr

The Data Engineer is responsible for designing and implementing data pipelines for cloud projects. This position will require working with complex data sources and transforming it into something ...

Contact Government Services, LLC

Data Engineer

Chicago, IL

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

NAVA Software Solutions

Sr. Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Details: Sr. Data Engineer Location: Chicago, IL (Hybrid at least 2 days a week) Duration: 6-12 months Key Responsibilities and Essential Functions: * Design, build, and support durable data ...

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

Lead Data Engineer EPTech's Enterprise Consumer Products team transforms customer experiences, and the platforms that enable them, at the optimal time through the preferred channel, to empower 100 ...

Bespoke Labs

Data Engineer

Chicago, IL · On-site

$118K - $141K/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 ...

Fitch Solutions

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Retirement

Fitch Group is currently seeking a Lead/Principal Data Engineer based out of our Chicago office. As a leading, global financial information services provider, Fitch Group delivers vital credit and ...

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Showing results 41-60

All JobsData Engineer JobsWeekend Data Engineer JobsWeekend Data Engineer Jobs in Deerfield, IL

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 Aug 16, 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 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?

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?

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 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:

Weekend Data Engineer jobs near you

Data Engineer

Excel Sports Management

Chicago, IL

$100K - $115K/yr

Full-time

Re-posted 13 hours ago

Job description

Excel Sports Management is an industry-leading sports agency representing top-tier talent, blue-chip brands and marquee properties. Our success is rooted in our people, our high character reputation and our commitment to creating a diverse and welcoming workplace. We focus on team chemistry, collaboration, strong relationships, valuable networks, and ambitious ideas to deliver innovative solutions that keep our clients and agency ahead of the curve.

Excel Sports Management is an Equal Opportunity Employer (EOE).

Position Summary: The Excel Analytics team is growing, and we are seeking a Data Engineer to help build and maintain the data pipelines and platforms that power our reporting, modeling, and client deliverables. This is a hands-on role for an early-career engineer who takes pride in building things the right way—with testing, data quality, and reliability built in from the start, not bolted on later. You will work alongside senior engineers and analysts to ingest, transform, and deliver trustworthy data across the business. This role will be based out of the Excel Chicago office.

Role & Responsibilities:

  • Build, maintain, and optimize data pipelines that reliably ingest, transform, and export data from internal and external sources.
  • Write and maintain automated tests—unit, integration, and data-quality checks—to ensure pipelines and datasets are correct, complete, and trustworthy.
  • Develop Python-based data workflows and orchestration tasks following established team patterns.
  • Contribute to relational data design—tables and relationships, primary/foreign keys, and appropriate indexing—and deliver schema changes as version-controlled migrations.
  • Support the data lake and warehouse layer (S3, Athena/Glue, PostgreSQL/Aurora), helping keep schemas, models, and documentation accurate.
  • Contribute to CI/CD pipelines and containerized (Docker) workflows, ensuring changes are tested and deployed safely.
  • Investigate and resolve data and pipeline issues, and help improve monitoring so problems are caught early.
  • Provide production support for data pipelines during standard working hours.
  • Collaborate with analysts, engineers, and client-facing teams to turn business needs into clean, documented solutions.

Education and Experience:

  • A four-year degree in Computer Science, Data Science, Mathematics, Engineering, or a related field OR equivalent experience.
  • 2+ years of professional experience in data engineering, software engineering, or a closely related role.

Required Qualifications:

  • Proficiency in Python and SQL, with hands-on experience building or maintaining data pipelines.
  • Demonstrated commitment to testing—writing unit and integration tests and validating data quality (e.g., pytest, schema/row-level checks, or similar).
  • Experience with OLTP (row-oriented) databases (PostgreSQL, MySQL, or equivalent).
  • Experience with OLAP (columnar) databases (Clickhouse, Redshift or equivalent).
  • Solid grasp of data modeling, indexing, and schema migrations.
  • Working knowledge of cloud environments (AWS preferred; GCP/Azure acceptable).
  • Familiarity with Git and CI/CD pipelines, and an understanding of data and software engineering best practices.
  • Exposure to AI/ML or Generative AI/LLM-driven solutions.
  • Awareness of data security, access controls, and observability/monitoring practices.
  • Ability to work collaboratively, take ownership of your work, and operate in a fast-paced environment.

Knowledge, Skills and Abilities:

  • Experience with Apache Airflow or other workflow orchestration tools.
  • Familiarity with Terraform or Infrastructure-as-Code.
  • Familiarity with event-driven or serverless architectures (e.g., S3/SQS-triggered pipelines, Lambda).
  • Experience building APIs or services to expose data (FastAPI, Flask, or similar).
  • Experience with BI tools (Power BI, Tableau).
  • Experience working in the sports industry and/or the agency world.
  • Strong interest in sports and sports analytics.
  • Familiarity with marketing data (e.g., campaign, audience, engagement, and brand/sponsorship metrics);

The pay range for this position is: $100,000 per year - $115,000 per year. This position is also eligible for benefits and discretionary bonus.

Ultimately, the salary may vary based upon, but not limited to, relevant experience, time in role, business sector, and geographic location, among other criteria.

This position is not eligible for sponsorship.

Excel Sports Management provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, leaves of absence, compensation and training.