Purpose
As a member of the Technology team, you will serve as the hands-on technical owner of the enterprise
Microsoft Fabric data platform in our client’s Central Ohio office. You will be responsible for designing, building, and operating data pipelines within Microsoft Fabric, supporting centralized data ingestion, transformation, and analytics readiness across the organization.learn.microsoft+1
As an individual contributor and Data Engineering owner, you will play a key role in shaping a scalable and well-designed data environment, applying strong engineering judgment and pragmatic architectural thinking. Working within the Application Services team, you will partner closely with application teams, our business intelligence team, and business stakeholders to ensure data quality, reliability, and sustainability as the data platform matures.jobs.dayforcehcm+1
Essential Functions-
Design, build, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric and Azure-native tooling (Data Factory in Fabric, Dataflows Gen2, Notebooks, Spark jobs).learn.microsoft+2
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Lead technical execution of legacy data migrations into the enterprise Fabric environment.
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Implement data quality controls, validation routines, and monitoring to ensure trusted enterprise data.jobs.dayforcehcm+1
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Optimize data pipelines and platform performance for reliability, scalability, and cost efficiency (Delta table maintenance, partitioning, capacity monitoring).jobs.dayforcehcm+1
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Integrate and onboard new data domains in partnership with application and business teams.
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Support analytics and reporting use cases by preparing high-quality data assets for Power BI and downstream consumption (semantic models, curated datasets).curatepartners+1
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Collaborate with Application Services, Infrastructure, Security, and external partners on data initiatives.
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Document data pipelines, standards, and operational practices to support sustainability and operational readiness.jobs.dayforcehcm
Expectations-
Demonstrates and maintains a positive, professional manner; manages time efficiently and effectively; provides leadership as a role model to promote a team approach; collaborates and participates in policy creation and appropriate problem-solving methods.
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Completes all annual education requirements timely, including but not limited to Compliance, Privacy, Security, and HIPAA training; exhibits behavior as set forth by the Code of Conduct in the performance of duties.
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Performs other duties as assigned.
Qualifications
Education-
Bachelor’s degree in Information Technology, Computer Science, or equivalent professional experience.
Experience-
Minimum 5 years of hands-on data engineering experience building enterprise-scale data pipelines.indeed+1
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Must have experience working with Microsoft Fabric and Microsoft Purview.learn.microsoft+1
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Experience implementing or working within layered data architectures (e.g., raw/staging/curated or medallion pattern) in a modern cloud data platform.jobs.dayforcehcm+1
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Experience developing data solutions using Python (PySpark) or similar data engineering languages; strong SQL proficiency required.learn.microsoft+1
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Experience contributing to or evolving data architecture standards in collaboration with application, integration, or platform teams (preferred).
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Experience serving as the primary or sole data engineering resource in a small or maturing data organization (preferred).
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Experience supporting healthcare, housing, or nonprofit data environments (preferred).
Skills-
Strong experience with Microsoft Azure data services and data integration tooling (Azure Data Factory, Synapse, Databricks, or equivalent).appning+1
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Proficiency in SQL and data transformation frameworks.
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Familiarity with data architecture principles and analytics enablement.
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Familiarity with Microsoft Fabric concepts including OneLake, lakehouse patterns, and downstream semantic modeling considerations for analytics consumption.curatepartners+1
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Experience working with Microsoft Power BI (dataset preparation, semantic modeling).curatepartners+1
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Demonstrated ability to make pragmatic data design decisions, including data modeling, pipeline patterns, and integration approaches, in environments without a dedicated data architect.
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Excellent communication, comprehension, and interpersonal skills.
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Must have the ability to speak, read, write, and understand English, and the ability to make self-understood.
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Strong understanding of data quality, governance, DLP, and security best practices.jobs.dayforcehcm+1
Licensure / Certifications (Preferred)-
Microsoft Azure Data Engineering certifications (e.g., DP-203: Data Engineering on Microsoft Azure) or Fabric Data Engineer Associate (DP-600).learn.microsoft+1
Work Environment & Requirements-
Hybrid schedule: 3 days per week in-person at our client’s Columbus, Ohio office.
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Occasional travel up to 5% may be required for meetings, training, or project work.
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This is a direct hire (W-2) position. No C2C, no third-party agencies, no visa sponsorship, and no Student Visa candidates will be considered.
Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law.
Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact [email protected].
Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.
By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.
For residents of Ontario, Canada: Based on Highspring’s discussions with its Client, Highspring’s understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly).
Vaco by Highspring and its parents, affiliates, and subsidiaries (“we,” “our,” or “Vaco by Highspring”) respects your privacy and are committed to providing transparent notice of our policies.
- California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
- Virginia residents may access our state specific policies here.
- Residents of all other states may access our policies here.
- Canadian residents may access our policies in English here and in French here.
- Residents of countries governed by GDPR may access our policies here.
Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring’s use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client’s use of AI products in hiring.
Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:
- the individual’s skill sets, experience and training;
- licensure and certification requirements;
- office location and other geographic considerations;
- other business and organizational needs.
With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.
