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Freelance Databricks Data Engineer Jobs in Wisconsin

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.50K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115.40K - $138.50K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

Migrate legacy SSIS packages to modern Databricks solutions * Maintain and optimize existing SSIS packages and SSRS reports * Participate in data warehouse design and implementation * Implement data ...

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Showing results 1-20

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:
Data Engineer

$109K - $130.90K/yr

Other

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


Job description

Job Title: Data Engineer
Location: Appleton, WI
Job Description
  • Must have: PySpark, Python Databricks

Job Description:
We are building out an Enterprise Data Platform (EDP) entirely on the cloud, utilizing Databricks on AWS. The project involves two teams focused on data ingestion, with a framework already established using Python and Spark for processing. The platform leverages DBT for data modeling. Our goal is to enhance data transformation capabilities while maintaining high standards for testing and data quality.
Key Responsibilities:
  • Lead Data Ingestion: Oversee and guide the data ingestion process, ensuring efficient and accurate data integration.
  • Mentorship: Mentor junior engineers, promoting engineering excellence and improving delivery processes.
  • Data Expertise: Utilize extensive knowledge of various data structures (Oracle, DB2, Mainframe, MongoDB, DynamoDB) to optimize data ingestion and transformation.
  • Data Profiling: Analyze structured, unstructured, and semi-structured data to determine the best methods for profiling and ingestion.
  • Ownership: Take full ownership of data sources and datasets, determining the best methods for ingestion and understanding the data thoroughly.
  • Collaboration: Work closely with staff engineers and other team members to schedule and conduct interviews, ensuring a collaborative and proactive work environment.

Required Skills and Experience:
  • Technical Proficiency: Strong experience with Databricks, AWS, Python, Spark, and DBT.
  • Cloud Migration: Proven track record in cloud migration projects, particularly moving on-premises systems to the cloud.
  • Data Modeling: Expertise in data modeling and transformation, with a focus on the Medallion architecture.
  • Leadership: Demonstrated ability to lead teams, mentor junior engineers, and drive engineering excellence.
  • Data Structures: In-depth knowledge of various data structures, including Oracle, DB2, Mainframe, MongoDB, and DynamoDB.
  • Data Profiling: Experience with profiling structured, unstructured, and semi-structured data to optimize ingestion processes.
  • Soft Skills: Accountable, collaborative, and proactive, with strong communication and interpersonal skills.

Interview Process:
  • Round 1: Technical interview with staff engineers.

HonorVet Technologies logo

About HonorVet Technologies

Sourced by ZipRecruiter

HonorVet Technologies, located in Fairfield, NJ, US, is a technology-driven company with a unique dimension - enhancing veteran engagement in the workforce. Founded with the goal of supporting and preserving professional veterans while satisfying the IT and professional needs of businesses, HonorVet Technologies brings a particular focus to diversity and veteran hiring, making it a standout player in the IT and Staffing industries. Functioning as a veteran-driven community entity, the firm offers IT staffing, bespoke development, and consulting services, with the aim of connecting talents with IT-related job opportunities.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Fairfield , NJ, US

Year founded

2015