ZipRecruiter

Log In

1

Temporary Databricks Data Engineer Jobs in Florence, IN

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

SmartIPlace

Sr Azure Data Engineer

Cincinnati, OH · On-site

$55 - $60/hr

Team members work independently but engage in peer programming throughout the day * Location ... Azure Databricks, Python, and Spark * Ex- Wallmart/Kroger/Microsoft or Any retail/ecommerce like ...

AMEND Consulting

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ... Databricks and DBT experience is a plus * Experience building and optimizing data pipelines ...

AMEND Consulting

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Overview: The Senior Data Engineer consultant role is an incredibly exciting position in the ... Databricks and DBT experience is a plus * Experience building and optimizing data pipelines ...

Pwc

Data Strategy-Manager

Cincinnati, OH · On-site

$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 ...

Pwc

Data Governance- Manager

Cincinnati, OH · On-site

$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 ...

previous pagenext page

Showing results 21-40

All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Florence, IN

Temporary Databricks Data Engineer information

See Florence, IN salary details

$40.9K

$119.3K

$163.2K

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

As of Aug 19, 2026, the average yearly pay for temporary databricks data engineer in Florence, IN is $119,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $126,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What cities near Florence, IN are hiring for Temporary Databricks Data Engineer jobs?

Cities near Florence, IN with the most Temporary Databricks Data Engineer job openings:

Temporary Databricks Data Engineer jobs near you

SENIOR DATA ENGINEER

FISCHER HOMES

Erlanger, KY • On-site

$104K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 27 days ago

Job description

Job Summary
As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact.
This position is 100% onsite, day 1 in our Erlanger, KY office.
You will thrive in this role if you:
  • Enjoy designing scalable data solutions that enable better business decisions.
  • Are passionate about building reliable, high-performing cloud data platforms.
  • Take ownership of data quality, governance, and pipeline reliability.
  • Enjoy solving complex technical challenges while continuously improving existing processes.
  • Thrive in collaborative environments where you partner with Analytics, Business Intelligence, and Software Development teams.
  • Stay current with emerging technologies and enjoy applying modern engineering practices to improve efficiency.
  • Like mentoring others and helping establish engineering standards across a growing team.

These skills will be used to:
  • Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and related cloud technologies.
  • Develop and optimize Lakehouse and Data Warehouse architectures for performance, scalability, and cost efficiency.
  • Modernize legacy SSIS and on-premises data solutions by migrating them to cloud-based platforms.
  • Build reliable, automated data ingestion processes using incremental loading, orchestration, and monitoring best practices.
  • Implement data quality testing, validation, and governance to ensure trusted, analytics-ready datasets.
  • Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics.
  • Establish reusable engineering patterns, documentation, and development standards for the Data Engineering team.
  • Troubleshoot and resolve production pipeline issues while continuously improving reliability and operational performance.
  • Mentor junior engineers and contribute to continuous improvements in source control, CI/CD, and deployment processes.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
  • Strong proficiency in SQL and experience with Python (PySpark preferred).
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
  • Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
  • Experience with source control and CI/CD practices using Git or similar tools.
  • Strong analytical, problem-solving, communication, and organizational skills.

Preferred Qualifications:
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
  • Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
  • Experience with data quality frameworks, pipeline monitoring, and data contracts.
  • Familiarity with dimensional modeling (Kimball methodology).
  • Experience working in Agile environments using Scrum or Kanban methodologies.
  • Experience mentoring or leading other Data Engineers.
  • Understanding of AI, Machine Learning, and generative AI technologies.
  • Experience implementing AI-enabled solutions or machine learning models within enterprise data environments.

Physical Demands and Work Environment:
  • Must be able to use verbal communication skills to effectively interact with associates, business partners, and customers.
  • Must be able to perform repetitive motions and use fine motor skills while operating standard office equipment.
  • Must be able to lift and carry approximately 20-25 pounds unassisted.
  • Must be able to remain seated for extended periods with occasional standing, walking, and reaching.

The Value of a Career with The Fischer GroupThe Fischer Group is a family of companies focused on delivering exceptional experiences across homebuilding, financial services, and real estate. Through our businesses, we are committed to quality, growth, and long-term success for both our customers and our Associates.
We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:
  • Professional Development Training programs
  • Health Insurance
  • Tuition Reimbursement
  • Competitive Compensation
  • 401(k) with Company matching contributions and profit-sharing
  • Employee Life Insurance
  • Personal time off
  • Inclusive Leave

The Fischer Group holds the highest ethical standards of business. We are honest and straightforward and stand by our word. Our actions demonstrate respect, courtesy, and fairness.

Apply