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Executive Oracle Data Engineer Jobs in Chicago, IL

Magid Glove & Safety

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

... O At Magid, we're not just passionate about safety-we're passionate about people. As an industry ... Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ...

NOW Health Group

ORACLE DBA MANAGER

Bloomingdale, IL · On-site

$136K - $177K/hr

SUMMARY The Oracle DBA Manager is the organization's utmost senior hands-on Oracle database ... Evaluates systems & data requirements. Meet with analysts, developers, and other personnel to ...

Resultant

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Solid SQL skills across relational platforms (SQL Server, Postgres, Oracle, Snowflake, etc.

New

Resultant

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and ... Solid SQL skills across relational platforms (SQL Server, Postgres, Oracle, Snowflake, etc.

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data ... Through team-building events, open-door policies, and visible executive presence, we foster an ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Proactively monitor and troubleshoot data pipelines and integrations across SQL Server, DB2, Oracle ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

The Data Engineer ensures that clean, reliable, and well-structured data is readily available to ... Proactively monitor and troubleshoot data pipelines and integrations across SQL Server, DB2, Oracle ...

Magid Glove & Safety

Data Engineer

Romeoville, IL

$116K - $140K/yr

... O At Magid, we're not just passionate about safety-we're passionate about people. As an industry ... Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ...

Heidrick & Struggles

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Heidrick & Struggles is the world's foremost advisor on executive leadership, driving superior ... The Role We are seeking a highly skilled, hands-on Senior Data Engineer with 4-5 years of ...

Heidrick & Struggles

Senior Data Engineer

Chicago, IL

$109K - $148K/yr

Heidrick & Struggles is the world's foremost advisor on executive leadership, driving superior ... As a senior member of the data engineering team, you will own complex data solutions, drive best ...

Aldridge Electric, Inc.

Data Engineer

Libertyville, IL

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that ... Through team-building events, open-door policies, and visible executive presence, we foster an ...

Conagra Brands, Inc.

Senior Data Engineer

Chicago, IL · On-site

$82K - $120K/yr

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Server, Oracle ADW, Snowflake, or Redshift * Experience with Data Lake and Data Warehousing ...

Fitch Solutions

Principal Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge ... Mentor and guide data engineers by promoting technical excellence, establishing coding standards ...

Conagra Brands

Senior Data Engineer

Chicago, IL · Hybrid

$82K - $120K/yr

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Server, Oracle ADW, Snowflake, or Redshift * Experience with Data Lake and Data Warehousing ...

CONAGRA

Senior Data Engineer

Chicago, IL · On-site

$82K - $120K/yr

Develop and iterate data engineering pipelines, dashboards, reports, and insights for internal ... Server, Oracle ADW, Snowflake, or Redshift * Experience with Data Lake and Data Warehousing ...

Endeavor Health

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice ... Experience and understanding of data sources including 3rd party RDBMS, SQL server and Oracle

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Executive Oracle Data Engineer information

See Chicago, IL salary details

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How much do executive oracle data engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for executive oracle data engineer in Chicago, IL is $70.74, according to ZipRecruiter salary data. Most workers in this role earn between $63.65 and $79.23 per hour, depending on experience, location, and employer.

What is the difference between Executive Oracle Data Engineer vs Oracle Data Engineer?

AspectExecutive Oracle Data EngineerOracle Data Engineer
CredentialsTypically requires advanced certifications like Oracle Certified Professional, extensive experienceRequires Oracle Data Management certifications, relevant experience
Work EnvironmentStrategic roles, leadership in data projects, high-level decision makingTechnical roles, hands-on data integration, database management
Employer & IndustryLarge enterprises, finance, tech, consulting firmsSimilar industries, focus on data infrastructure and management

The main difference is that the Executive Oracle Data Engineer focuses on strategic leadership and high-level decision making in data projects, while the Oracle Data Engineer handles technical implementation and data management tasks. Both roles require Oracle certifications and experience, but the executive role involves overseeing projects and guiding teams.

What are the most commonly searched types of Oracle Data Engineer jobs in Chicago, IL?

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

Executive Oracle Data Engineer jobs near you

Data Engineer

Magid Glove & Safety

Romeoville, IL • On-site

$116K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Description
What Matters at Magid? YOU do!
"The number one key to growth is having good people and that's what has driven us at every stage of the game." - Greg Cohen, CEO
At Magid, we're not just passionate about safety-we're passionate about people. As an industry leader, we've built an innovative and collaborative environment where diversity is celebrated, ideas are valued, and personal and professional growth never stops.
Job Summary
The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work spans product sourcing, customer journeys, service delivery, sales workflows, and the platforms and SME's that support them. We have seen a drastic increase in adoption of the Data Engineer's services. We are embedding data culture into our DNA and are excited to add a new face to that mission.
Essential Responsibilities
  • Data pipelines and transformations (ingest, clean, vet, test, transform, publish)
  • Well-documented datasets and advanced semantic models that enable reporting and analysis
  • Data quality checks (freshness, completeness, validity) and participation in monitoring/alerting
  • Datasets that support machine learning use cases with clear definitions
  • Incremental improvements to pipeline performance, cost, and reliability with guidance
  • Collaboration with partners to clarify requirements and iterate on data products
  • Partner in Data Discovery & Solution Shaping
  • Develop Power BI Solutions that are iterative while supporting our current ecosystem of analytics driven reporting
  • Learn source systems and data flows; help map entities, identifiers, and key business rules
  • Contribute to data modeling and design decisions with guidance (schemas, grain, slowly changing dimensions, etc.)
  • Propose simpler, more reliable approaches (e.g., reuse shared datasets, standardize definitions) to improve trust and increase adoption

Build & Maintain Data Pipelines
  • Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
  • Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
  • Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
  • Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.

Contribute to a Strong Data Culture
  • Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
  • Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
  • Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows

How We Work
  • Empowered to solve problems, not just build features
  • Accountable for outcomes, not output
  • Collaborative by default, from discovery through delivery
  • Continuously learning, using data, AI/ML and customer insight to improve

Magid offers a variety of benefits to our team members including:
  • Health, dental, vision, life and disability insurance
  • Bonus plan
  • 401k retirement plan with company match
  • Company provided Profit Sharing
  • Participation in Magid Paid Time Off (PTO) Policy
  • 9 Paid Holidays

Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Equivalent practical experience is equally valued
  • Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
  • Data modeling mindset: Cares about clear definitions, grain, and making data usable
  • Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
  • Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
  • Collaboration: Works effectively with product managers to deliver trusted data

Key Qualifications
  • Minimum of 5+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
  • Ability to write production-quality SQL and create reliable transformations with attention to correctness
  • Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
  • Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
  • Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

Preferred Qualifications
  • Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake, Snowflake, BigQuery, Databricks)
  • Exposure to data quality testing, monitoring, or observability concepts
  • Familiarity with data governance concepts (Row-Level-Security, Workspace Roles, etc)
  • Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
  • Familiarity with modern engineering practices (CI/CD, testing, observability)

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