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Seasonal Data Engineer Python Jobs in Illinois (NOW HIRING)

Data Engineer

Bridgeview, IL · On-site

$116K - $140K/yr

The Data Engineer is a core technical leader within the data team, responsible for the design ... Expert-level SQL skills and strong proficiency with Python or similar scripting languages.

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Senior Data Engineer Location - Chicago, IL (3 days onsite mandatory) Rate - 65-70 Databricks, ADF ... Automate workflows using Python scripting and CI/CD pipelines. * Troubleshoot and resolve issues in ...

The ideal candidate has strong experience in data quality engineering, Python and SQL, and building automated validation frameworks using tools such as Great Expectations. Experience leveraging AI ...

Data Engineer

Chicago, IL · Remote

$118K - $141K/yr

Data Engineer - Data Catalog (Alation) Location: Chicago, IL (100% Remote) Duration: 6-12 Months ... Proficiency in programming languages such as SQL, HTML, Java, Python , and others. * Experience ...

IL · Hybrid

$110K - $132K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter ...

Big Data Engineer

Rolling Meadows, IL

$56 - $74.25/hr

SPARK with Scala or Python Secondary / Optional Skills : AWS, UNIX & SQL Looking for an experienced Senior Big Data Developer who will be responsible for, * Technical leadership in driving solutions ...

Data Engineer

Chicago, IL · Hybrid

$95K - $115K/yr

Data Engineer Chicago, Illinois, United States The Role You'll sit within the Data & Analytics ... Experience with Python for scripting, automation, and data processing workflows * Familiarity with ...

Data Engineer - Direct-Hire

Shiloh, IL · On-site

$106K - $128K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our ... Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter ...

Data engineer

Chicago, IL

$118K - $141K/yr

... in Data Science, Analytics, or Engineering , it's time to stop guessing and start choosing results ... Python, Pandas, NumPy, Scikit-Learn * Machine Learning (supervised/unsupervised), TensorFlow, Deep ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Design and build scalable data pipelines using Python, PySpark, SQL, and similar frameworks and ...

Data Engineer

Chicago, IL

$118K - $141K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

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Seasonal Data Engineer Python information

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Data Engineer Python jobs in Illinois? The most popular types of Data Engineer Python jobs in Illinois are:
What cities in Illinois are hiring for Seasonal Data Engineer Python jobs? Cities in Illinois with the most Seasonal Data Engineer Python job openings:
Data Engineer

$116K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Job Type
Full-time
Description
Join the Leader in Trading Cards!
MJ Holding Company, LLC is the largest distributor of sports trading cards and trading card games like Magic: The Gathering and Pokémon -and we're growing fast. Our success comes from passionate people who love what they do. At MJH, you'll find a team that's enthusiastic about the products we distribute, proud of the culture we've built, and committed to our success. If you're driven and excited about the world of trading cards, we want you on our team!
The Data Engineer is a core technical leader within the data team, responsible for the design, architecture, and delivery of scalable, reliable data platforms that power the organization's data warehouse, analytics, and business intelligence initiatives. This role goes beyond hands-on development to include data architecture, solution design, technical direction, and mentorship. The Data Engineer partners closely with forecasting, application development, and business stakeholders to ensure the data ecosystem supports current and future business needs.
Requirements
Essential Duties and Responsibilities
Data Architecture & Design
  • Design and evolve the organization's data architecture, including ingestion patterns, transformation layers, semantic models, and consumption frameworks.
  • Lead architectural decisions for data warehousing and analytics platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
  • Define and enforce standards for data modeling, naming conventions, schema design, and performance optimization.
  • Evaluate and recommend tools, technologies, and architectural patterns that align with scalability, reliability, and cost efficiency goals.

Data Engineering & Platform Development
  • Design, build, and optimize robust ELT/ETL pipelines using tools such as dbt, Apache Airflow, and cloud-native services (e.g., Azure Data Factory).
  • Own end-to-end pipeline reliability, including orchestration, monitoring, alerting, and failure recovery.
  • Develop and optimize complex SQL transformations, stored procedures, and performance-critical queries.
  • Implement scalable data processing solutions that support both batch and incremental/near-real-time use cases.

Data Modeling, Analytics & BI Enablement
  • Lead the design of enterprise data models, including dimensional (star/snowflake) and curated analytical models.
  • Partner with analytics and business teams to translate requirements into semantic models, KPIs, and certified datasets.
  • Ensure the data warehouse is optimized for self-service BI, ad hoc analysis, and dashboard performance in tools such as Power BI or Tableau.
  • Provide technical guidance on BI performance tuning, DAX/MDX best practices, and data usage patterns.

Data Quality, Governance & Security
  • Define and implement data quality frameworks, including validation, testing, and anomaly detection using tools such as dbt tests, Great Expectations, and custom Python solutions.
  • Support data governance initiatives by helping establish data ownership, documentation, lineage, and access controls.
  • Ensure data solutions adhere to security, privacy, and compliance requirements.

Leadership, Collaboration & Mentorship
  • Serve as a senior technical resource and mentor junior data engineers and analysts.
  • Lead technical design discussions, architectural reviews, and documentation efforts.
  • Collaborate cross-functionally with business stakeholders, product teams, and engineering partners to deliver well-designed data solutions.
  • Influence data strategy and roadmap planning by providing architectural insight and trade-off analysis.

Qualifications
Competencies
  • Candidate must be able to be on-site in Bridgeview, IL to learn about the operation and business for ~ 6 months and can then transition to a hybrid office role.
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Proven analytical, problem-solving, and system-thinking mindset.
  • Experience working in collaborative, version-controlled environments using ITIL practices.
  • Self-directed, proactive, and comfortable owning ambiguous or complex problem spaces.

Education
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Experience
  • Proven experience leading the design and evolution of data architectures (data warehouses, lakehouse, streaming, batch pipelines).
  • Ability to guidearchitectural decisions related to scalability, performance, security, and cost.
  • Knowledgeable in data warehouses and analytics platforms in Snowflake, Azure SQL, Databricks, BigQuery, or similar technologies.
  • Expert-level SQL skills and strong proficiency with Python or similar scripting languages.
  • Advanced experience with data modeling, including dimensional and analytical models.
  • Strong background in performance tuning, query optimization, and large-scale data transformation.

Preferred Qualifications
  • Experience working with large-scale data lakes or similarly complex, high-volume data environments, including the design, optimization, and governance of structured and semi-structured data.
  • Familiarity with data governance, data catalogs, metadata management, and data quality frameworks.
  • Prior experience in retail distribution, category management, or a similar industry is a plus.
  • Experience mentoring engineers or acting as a technical lead on data initiatives.

TOTAL REWARDS
MJ Holding Company provides a competitive compensation package, including annual merit increases and bonus based on company and individual performance. In addition, the company offers comprehensive benefits options including medical, dental, vision coverage, disability insurance, health savings and flexible spending accounts. To help save for the future, all employees are eligible for a 401(k) match of 100% on the first 3% and 50% for the next 2% of your contribution. In addition, we provide wellness resources which include an employee assistance program, fitness discounts, the CALM app, and access to a wellness professional. We offer various types of paid time off including vacation, salary continuance, and country specific holidays. We also prioritize recognizing employee milestones including life events and service anniversaries.