freehire launches on Product Hunt on 26 August.

Follow →

Fischer Homes

Discussion

SENIOR DATA ENGINEER

Open 24d

Summary

Senior Data Engineer builds and maintains scalable data pipelines and Lakehouse/Warehouse solutions on Microsoft Fabric to support analytics and decision-making at a homebuilding and real estate company.

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 Group
The 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.

Show

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter

  • What is your preferred name?
  • Street Address
  • City, State (EX: Cincinnati, OH or Erlanger, KY)
  • Zip Code
  • Do you agree to receive communication via text message regarding your application? choose one
  • How did you hear about us? choose one
  • Were you referred by a current employee? choose one
  • If other, please explain. optional
  • If Employee Referral, please list the employee's name. optional
  • Are you at least 18 years of age? choose one
  • Have you signed a non-compete agreement or other similar contract that may restrict your ability to work for a former employer's competitor, suppliers, or customers? choose one
  • Have you previously been employed by Fischer Homes? If yes, when?
  • Are you eligible to work in the United States? (Proof of eligibility will be required upon employment) choose one
  • Are you currently on a Student Visa (this includes F-1 or other student visa's) or will you now or in the future require Fischer Homes to commence ("sponsor") an immigration case in order to employ you (this includes, H-1B or other employment-based immigration case)? This is sometimes called "sponsorship" for an employment-based visa status. choose one
  • Name of Most Recent Employer
  • Dates of Employment (from/ to) of Most Recent Employer
  • Job Title at Most Recent Employer
  • This role is based 100% onsite at our corporate office in Erlanger, Kentucky. Are you currently living in, or willing to relocate to, the Erlanger/Cincinnati area to work onsite full time? choose one
  • How many years of Data Engineering experience do you have? (Not including Internships/ co-op) choose one
  • Application Waiver: Fischer Management, LLC is an Equal Opportunity Employer and does not discriminate against applicants on the basis of sex, age, race, color, religion, sexual orientation, national origin, veteran status, citizenship, disability or any other legally protected status. Equal access to programs, services and employment is available to all persons. Those applicants requiring reasonable accommodation to the application and/or interview process should notify a representative of the Human Resource Department. The facts as stated on the application are true and correct. I understand that, if employed, false statements or significant omissions on the application may result in my immediate dismissal whenever the false statement or omission is discovered. I authorize Fischer Management, LLC to investigate my personal, financial, and credit history through any investigative or credit agency of its choice. I further authorize any personal reference, school, former employer, government agency, or other person to disclose to Fischer Management, LLC, or its agent, all information they may have about me, and I release from all liability for disclosing such information. I understand that I may be contacted and asked to provide my date of birth by the agency performing the background investigation, and that this additional information is for investigative purposes and will not be provided to Fischer Management, LLC. I understand that I may be required to work over 40 hours a week and on weekends as a condition of being employed here. In consideration of my employment, I agree to conform to the rules and regulations for employees. I understand that my employment and compensation is at-will. This means that termination can occur, with or without cause or reason, at any time, at the option of either the company or me. I understand that no representative of the company other than its President has the authority to enter into any agreement for employment for any specified period of time or to make any agreement contrary to the foregoing. I further understand that any such agreement must be in writing and signed by the President of the company. I understand that I may be required to submit to a pre-employment and post-employment test for fitness, honesty, and/or substance abuse, if not prohibited by law. I further understand that employment is conditional until results of any pre-employment test are known. Upon separation of employment, I agree that I will return all Company property and information, and I authorize the company to withhold from my final paycheck any monies owed to it by me. By typing your name and date below I am providing my electronic acknowledgment that I represent and warrant that I have read and fully understand the foregoing and seek employment under these conditions listed above:
  • Today's Date

See also

163,815 jobs
Python jobs
37,804 jobs
Data Engineering jobs
239,450 jobs
Senior-Level jobs
94,981 jobs
Azure jobs
17,637 jobs
Remote Worldwide jobs
45,856 jobs
JavaScript jobs
64,859 jobs
TypeScript jobs
54,994 jobs
React jobs
7,545 jobs
Go jobs
27,553 jobs
Backend jobs

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available