Data Engineer
Description
Data Engineer
Location: New Albany, OH
Only local candidates to Ohio will be considered for this role.
Make a Difference—And Own Your Future
At Wallick Senior Living, our team understands that senior living is not just a job, but a calling. We take pride in caring for and empowering our Seniors as they choose to enjoy their golden years with us. With 1,000+ employees and a mission to open doors to homes, opportunity, and hope, we take pride in fostering a supportive and collaborative work environment where every employee-owner plays a vital role.
A Career with Wallick Senior Living Means…
- A Unique Approach to Senior Living: Our associates power Wallick’s approach to senior living that goes beyond care to ensure our residents live their best lives through meaningful activities, delicious meals and round-the-clock support.
- Pay-on-Demand: access your money as you earn it.
- Exceptional Benefit Package: Health, dental, vision insurance effective within 2 weeks of starting your new job. Other benefits like gym membership reimbursement, paid parental leave, 401K, and more!
- Work-Life Balance: Paid time off, including paid parental leave.
- Supportive Culture and Rewarding Work: A team-oriented environment where associates make a meaningful impact by helping individuals maintain independence and quality of life.
- Resident Stories That Stay with You: From Maurine, who found an “instant family” to Evelyn, who recently celebrated her 105th birthday with us, our residents enjoy a sense of community that is created by you!
- Career Growth: Tuition reimbursement, training, professional development, and advancement opportunities within a company that invests in its people.
- Employee Owned, Resident Focused: As a 100% employee-owned company, your daily work (supporting our residents) also contributes to your financial future by sharing in our profitability.
The Work – How You Will Contribute
In alignment with Wallick’s Mission and Values, the Data Engineer will support the Director of Business Intelligence & Analytics to manage and evolve our enterprise data ecosystem. Our core infrastructure is established within Microsoft Fabric, providing a modern foundation for you to build upon.
As a key builder on a lean team, you will be responsible for maintaining this environment while being afforded the unique opportunity to collaboratively enhance and grow it to meet the future needs of our business. We are looking for a resourceful problem-solver with the ingenuity to build lean, sustainable systems. You thrive on finding the most effective path to a solution, ensuring our infrastructure remains agile and easy to maintain as we grow. You won’t just be following a blueprint; you will be empowered to design and incrementally scale an affordable infrastructure; essentially building a world in which you want to work.
This is a foundational role ideal for an early-career professional with a "roll-up-your-sleeves" attitude. If you are motivated to take initiative, gain critical high-level skills, and see your fingerprints on the organization’s long-term success, this role offers the perfect platform for your growth.
Qualifications Required:
- Experience: Typically, 1–3 years of experience in data engineering or a highly technical data analytics role
- Technical Core: Proficiency in SQL and Python (specifically for data manipulation and transformation) is required
- Ecosystem Knowledge: Experience with cloud data platforms (e.g., Microsoft Fabric, Azure Synapse, Snowflake, or Databricks)
- Education: Bachelor’s degree in computer science, Data Analytics, Information Systems, or a related field (or equivalent practical experience)
- The "Ingenuity" Factor: Demonstrated ability to self-teach new technologies and a proactive approach to solving technical hurdles with lean, sustainable solutions
Functions and Responsibilities:
- Infrastructure Maintenance: Manage and monitor the existing Microsoft Fabric environment, ensuring high availability and performance of the data ecosystem
- Pipeline Engineering: Develop and maintain end-to-end ETL/ELT flows (using Data Factory, Notebooks, and Lakehouses) to ensure data is accurate, timely, and analysis ready
- Incremental Scaling: Collaboratively design and implement enhancements to the data infrastructure, focusing on creating affordable and maintainable solutions that meet evolving business needs
- Data Modeling: Partner with data analysts to structure and optimize datasets, ensuring they support strategic decision-making and business insights
- Documentation & Governance: Maintain clear documentation of data lineages and system workflows to ensure the infrastructure remains transparent and scalable for future team members
- Continuous Improvement: Proactively identify opportunities to streamline processes or reduce system complexity, applying ingenuity to deliver high-value results
Wallick’s Mission & Values
At Wallick Communities, we believe in opening doors to homes, opportunity, and hope for our residents, associates, and community. Our core values guide everything we do:
- Care – We show compassion and respect for everyone.
- Character – We do the right thing, even when no one is looking.
- Collaboration – We work together to achieve more.
At Wallick, we celebrate Diversity, Equity, Inclusion + Belonging (DEI+B) in our workplace and communities, creating an environment where associates feel welcome, respected, and empowered to bring their authentic selves to the great work they do every day.
For nearly 60 years, it has been at the core of our organization’s culture that all Wallick associates come to a safe and inclusive place to work. Wallick does not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors.
Join Us and Become an Employee-Owner!
If you're ready to make a difference in people’s lives while securing your financial future, apply today!
Candidates must successfully pass a pre-employment drug screen and physical (completed by our Nurse Practitioner) and background check.