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Flexible Databricks Data Engineer Jobs in Texas, IL

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability ...

Steampunk

MLOps Engineer

Bloomington, IL · On-site

$115 - $150/hr

Azure Data Scientist Associate * Google Professional Machine Learning Engineer * Databricks Machine Learning Associate/Professional About steampunk Steampunk relies on several factors to determine ...

New

Munich Re

Data Scientist

Bloomington, IL · On-site +1

... flexible environment that helps them succeed both at work and at home. Join our dynamic ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

Rivian

Staff Vehicle Program Planner

Normal, IL · On-site

$102K - $127K/yr

... Databricks as one source of truth. Qualifications * Bachelor's Degree in Engineering, Supply Chain Management/Logistics, Analytics, Data Science, Mathematics/Statistics or related field. * 5+ yrs ...

Rivian

Staff Vehicle Program Planner

Normal, IL · On-site

$102K - $127K/yr

... Databricks as one source of truth. Qualifications * Bachelor's Degree in Engineering, Supply Chain Management/Logistics, Analytics, Data Science, Mathematics/Statistics or related field. * 5+ yrs ...

CCI Systems, Inc.

OSP Design Engineer

Bloomington, IL · On-site

Design aerial path based on field data and engineering best practices. * Ensure that all designs ... Must be flexible, and willing to work outside normal business hours, as necessary. Additional ...

MasTec Inc

Field Engineer

Decatur, IL · On-site

... built data, verifying quantities, field safety and quality inspections. * Perform procurement ... Must be flexible in working in both office and field environment as needed. * Must have strong ...

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All JobsDatabricks Data Engineer JobsFlexible Databricks Data Engineer JobsFlexible Databricks Data Engineer Jobs in Texas, IL

Flexible Databricks Data Engineer information

See Texas, IL salary details

$43.1K

$125.7K

$172.1K

How much do flexible databricks data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for flexible databricks data engineer in Texas, IL is $125,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $133,300.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

What cities near Texas, IL are hiring for Flexible Databricks Data Engineer jobs?

Cities near Texas, IL with the most Flexible Databricks Data Engineer job openings:

Flexible Databricks Data Engineer jobs near you

Senior Data Engineer

1 point system

Normal, IL • On-site

$103K - $140K/yr

Contractor

Re-posted 10 days ago

Job description

Job Description

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.

This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.

Roles and Responsibilities

  • Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
  • Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
  • Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
  • Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
  • Collaborate with analytics engineers and product teams to turn models into highvalue data products powering analytics applications.
  • Contribute to the semantic layer and catalog so GenAI agents and self-service tools can reliably discover and query operational data.
  • Drive improvements in upstream systems and schemas to reduce data issues at the source.

Required Qualifications

  • 5+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelors or Master’s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.

Preferred Qualifications

  • Experience working with manufacturing, MES, quality, or operational data.
  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Experience building semantic layers or governed analytical datasets.
  • Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
  • Experience enabling AI or advanced analytics use cases on top of operational data.
  • Knowledge of streaming or near-real-time data pipelines.