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Contract Databricks Data Engineer Jobs in Racine, WI

Concurrency

Data Architect

Milwaukee, WI · On-site

$62.75 - $80.75/hr

You'll work with a high-performance engineering team and report directly to the Practice Manager ... ADLS, Databricks, Fabric, Synapse, and related tooling * Define and document reference ...

KOHLS

Staff Data Architect (Remote)

Menomonee Falls, WI · On-site +1

$64 - $82.25/hr

Define and steward enterprise data architecture standards including data models, data contracts ... Influence and guide source data design by partnering with product and engineering teams to ensure ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI

$98K - $134K/yr

The Senior AI Engineer will lead the design and implementation of production-grade AI solutions ... Azure and Databricks * Troubleshoot complex issues in production environments across data ...

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Contract Databricks Data Engineer information

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$41.7K

$121.6K

$166.4K

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

As of Jun 18, 2026, the average yearly pay for contract databricks data engineer in Racine, WI is $121,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $128,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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Contract Databricks Data Engineer jobs near you
Data Architect

Data Architect

Concurrency

Milwaukee, WI • On-site

$62.75 - $80.75/hr

Full-time

Posted 29 days ago

Job description

Who We Are
At Concurrency, we embody innovation. We're not just tech consultants; we are forward thinkers with a purpose. Our team thrives on disrupting the norm, constantly seeking the next challenge and pushing boundaries to redefine what's achievable. Recognized as a Microsoft Solutions Partner, a ServiceNow Elite Partner, and recipient of multiple Partner of the Year awards, Concurrency is synonymous with excellence. If you're fueled by the desire to transform technology into real-world solutions, join us and unleash your potential as a change catalyst.
Who We're Looking For
We're looking for a full stack Data Architect to help take our Cloud, Data & AI Solutions team to the next level. Your focus will be on designing data-intensive applications in Azure that align with customer business goals and helping set internal technical direction for our Cloud, Data & AI Solutions group. The ideal candidate excels at creating modern data solutions to stubborn business problems and enjoys working across the entire data stack from requirements gathering to system design, implementation, and documentation. You thrive in early-stage environments that provide freedom to move fast and ship new features at high velocity without compromising quality standards. You'll work with a high-performance engineering team and report directly to the Practice Manager, significantly influencing our technical direction and that of our customers.
At Concurrency, we believe in living out our core valuesevery day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Do
  • Lead end-to-end technical discovery and architecture design for complex data and analytics initiatives, translating ambiguous business goals into scalable, secure data solutions

  • Architect modern data platforms on Azure, including lakehouse, streaming, and analytics architectures using services such as ADLS, Databricks, Fabric, Synapse, and related tooling

  • Define and document reference architectures, design patterns, and implementation standards that are reusable across clients and engagements

  • Serve as a trusted technical advisor to client stakeholders, guiding architectural decisions, tradeoffs, and roadmaps aligned to business outcomes

  • Balance ideal-state architecture with real-world constraints including cost, timeline, data maturity, and team skill sets

  • Oversee and review solution implementations to ensure architectural integrity, performance, scalability, and security best practices

  • Partner with delivery teams to resolve complex technical challenges and act as an escalation point for architecture-related decisions and positive client sentiment

  • Integrate AI-augmented delivery practices into solution design and implementation, while exercising strong engineering judgment and governance

  • Mentor engineers and senior engineers through architecture reviews, design sessions, and ongoing coaching

  • Contribute to pre-sales activities including technical discovery workshops, solution shaping, and proposal support

What You'll Need
  • Over 7 years of experience designing and delivering data solutions, with experience operating in an architecture or senior technical leadership role

  • Deep expertise in modern data architectures, including lakehouse, ELT/ETL orchestration, data modeling, and analytics platforms on Microsoft Azure

  • Proven ability to design scalable data solutions supporting structured, semi-structured, and unstructured data

  • Strong hands-on experience with technologies such as Azure Data Factory / Fabric Pipelines, Databricks (PySpark), SQL, and cloud-native data services

  • Demonstrated experience leading technical discovery, requirements gathering, and architecture design in client-facing environments

  • Strong understanding of data governance, security, and compliance considerations (e.g., RBAC, data classification, lineage)

  • Experience leveraging AI-augmented delivery techniques to improve solution quality and productivity, with the ability to establish usage standards and lead by example through hands-on application.

  • Ability to communicate complex architectural concepts clearly to both technical and non-technical audiences

  • Comfort operating with a high degree of autonomy while collaborating across cross-functional teams

What Will Set You Apart
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field

  • Experience designing enterprise-scale data platforms using Microsoft Fabric, Azure Synapse, or multi-cloud data ecosystems

  • Exposure to AI-enabled data patterns such as vector search, RAG architectures, or analytics supporting generative AI use cases

  • Relevant certifications such as Azure Data Engineer Associate (DP-203), Fabric Engineer Associate, or architecture-focused credentials

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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