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Freelance Databricks Data Engineer Jobs in Wisconsin

Ampcus

Data Quality Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Quality Engineer. Location: Milwaukee, WI. Key Responsibilities: * Data Profiling & Assessment ... Hands-on experience with modern data stacks like Snowflake, AWS (Redshift/S3), Azure, or Databricks.

Exact Sciences

Staff Data Engineer - Science

Madison, WI

$115.40K - $138.50K/yr

As a Staff Data Engineer, this extremely seasoned professional will demonstrate competence and ... Spark on Snowflake or Databricks. * Python, Scala, SQL development. * ETL data pipelines.

Ampcus

Data Quality Engineer

Milwaukee, WI · On-site

$112.80K - $135.50K/yr

Data Quality Engineer. Location: Milwaukee, WI. Key Responsibilities: * Data Profiling & Assessment ... Hands-on experience with modern data stacks like Snowflake, AWS (Redshift/S3), Azure, or Databricks.

Fisglobal

Data Engineer Sr Manager, SRE

Milwaukee, WI · On-site

$56.25 - $74.75/hr

Fivetran (enterprise ingestion), Databricks (processing & orchestration), Snowflake (warehousing ... SDC (Secure Data Core) concepts, tokenization/masking, and access workflows. Bonus If You Have

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data ...

Deloitte

Databricks Manager

Milwaukee, WI · On-site +1

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

Pwc

Data Governance- Manager

Milwaukee, WI

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

FIS

Data Engineer Sr Manager, SRE

Milwaukee, WI

$56.25 - $74.75/hr

Fivetran (enterprise ingestion), Databricks (processing & orchestration), Snowflake (warehousing ... SDC (Secure Data Core) concepts, tokenization/masking, and access workflows. Bonus if you have

Worldpay, Inc.

Data Engineer Sr Manager, SRE

Milwaukee, WI · On-site

$56.25 - $74.75/hr

Fivetran (enterprise ingestion), Databricks (processing & orchestration), Snowflake (warehousing ... SDC (Secure Data Core) concepts, tokenization/masking, and access workflows. Bonus if you have

Pwc

Data Strategy-Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $124,000 - $280,000. Actual compensation within the ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Recruit and manage freelance creators & experts from the data science, AI, analytics, business intelligence, data engineering, and cloud communities. * Edit the work of freelancers and ensure that ...

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Freelance Databricks Data Engineer information

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

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks Data Engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What are Freelance Databricks Data Engineers?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in Wisconsin? The most popular types of Databricks Data Engineer jobs in Wisconsin are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in Wisconsin? For Freelance Databricks Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in Wisconsin look for? The top searched job categories for Freelance Databricks Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Freelance Databricks Data Engineer jobs? Cities in Wisconsin with the most Freelance Databricks Data Engineer job openings:
Freelance Databricks Data Engineer jobs near you
Data Quality Engineer

Data Quality Engineer

Ampcus

Milwaukee, WI • On-site

$112.80K - $135.50K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Job Title: Data Quality Engineer.
Location: Milwaukee, WI.
Key Responsibilities:
  • Data Profiling & Assessment: Analyzing data sources to understand structure, content, and quality; identifying anomalies, duplicates, or missing values.
  • Automated Testing: Designing and implementing automated data validation frameworks (e.g., dbt tests, Great Expectations) within ETL pipelines.
  • Framework Development: Building reusable data quality rules and monitoring systems to detect issues in real-time.
  • Root Cause Analysis: Investigating why data discrepancies occur and working with engineering teams to drive permanent resolutions.
  • Stakeholder Liaison: Bridging the gap between business requirements (what "good data" looks like for a product) and technical implementation.
  • Governance & Compliance: Ensuring data handling meets regulatory standards like GDPR or HIPAA, including implementing data masking and lineage.
Required Technical Skills:
  • Languages: Expert-level SQL for complex querying and Python for automation scripting.
  • Data Quality Tools: Proficiency in frameworks like dbt, Great Expectations, Soda, Monte Carlo, or Informatica Data Quality, Databricks, Snowflakes.
  • Data Visualization: Proficiency in Power BI, Tableau.
  • Cloud Platforms: Hands-on experience with modern data stacks like Snowflake, AWS (Redshift/S3), Azure, or Databricks.
  • Big Data Tech: Knowledge of Spark, Hadoop, Kafka, or Airflow for managing and monitoring large-scale pipelines.
Preferred Qualifications:
  • Experience: Typically, 3-8 years in Data Engineering, ETL Testing, or a specialized Data Quality role.
  • Education: A degree in Computer Science, Data Science, or a related technical field.
  • Soft Skills: High attention to detail, strong communication for explaining technical issues to non-technical stakeholders, and critical thinking for spotting hidden patterns.
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About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004

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