Log inSign up free
  • Home
  • Jobs
    • Applications
    • Career
    • Resume
    • Cover letters
  • Content
    • Posts
    • Media
  • Messages
  • Analytics
    • Overview
    • Pages
  • Builder
    • Templates
  • More tools
    • Profile
    • Hiring
  • Settings
All jobs
OCoxfordcorp.com logo

oxfordcorp.com

Pennsylvania Remote, United States of America

Data Engineering Lead.

REMOTESENIOR LEVELDATA & ML$120K–150K/YR
Join our team and experience how we lead with passion, positivity, and accountability to deliver the Right Talent. Right Now. We create an environment where you can think big, have fun and truly make a difference. For more than 40 years, Oxford Global Resources has helped organizations solve complex business and technical challenges by connecting them with specialized expertise. We work across industries including technology, life sciences, engineering, and healthcare, providing services that range from individual staffing support to co-managed projects and fully managed programs. Our work is built on understanding what each organization needs and bringing the right people and approach to the challenge. Behind that work are teams across Oxford who strengthen how we operate, support our people, and help us deliver for clients. If you’re looking for a place where your work connects to a larger purpose and has a visible impact, there’s an opportunity to do that here. What We’re Looking For We’re looking for a hands-on Data Engineering Lead to guide our data engineering team and shape the next stage of Oxford’s enterprise data platform. Reporting to the Director of Data Operations, you’ll lead a team of two to four engineers while remaining closely involved in architecture, development, troubleshooting, and delivery. Oxford’s data environment spans Azure and Microsoft Fabric. Your mandate is to connect those ecosystems thoughtfully, reduce redundancy, and build a clear path toward a strong, consolidated Fabric platform without disrupting the business. You’ll set engineering standards, strengthen platform reliability, and partner across analytics, technology, and the business to turn changing requirements into dependable data products. Remote, Eastern U.S. | Exempt | Reports to the Director of Data Operations What You’ll Do: Lead, mentor, and develop a team of data engineers through clear priorities, project planning, code reviews, coaching, and career development. Own the platform strategy across Azure and Microsoft Fabric, identifying overlapping pipelines, storage, and tooling and creating a practical roadmap to consolidate or retire redundant components. Build and mature Oxford’s Microsoft Fabric platform, including Lakehouse, Warehouse, Data Factory pipelines, and OneLake, while defining what should remain in Azure and what should move into Fabric. Develop complex T-SQL queries, stored procedures, and database solutions while managing, monitoring, and optimizing SQL Server database environments for performance, reliability, and scalability. Design, optimize, test, and maintain the stored procedures that support Oxford’s core ETL processes, with disciplined version control and performance management. Manage transformation pipelines end to end, including orchestration, scheduling, monitoring, failure handling, troubleshooting, and recovery. Lead impact analysis and change management for major upstream source-system changes, coordinating with platform owners and downstream stakeholders so the warehouse adapts before the business is disrupted. Establish and reinforce standards for data quality, testing, observability, documentation, security, and CI/CD. Partner with analysts, BI developers, technical teams, and business stakeholders to translate requirements into reliable, scalable data products. Manage platform reliability, performance, and cloud cost while applying sound governance practices around access, lineage, compliance, and PII handling. Evaluate emerging tools and approaches, make clear build-versus-buy recommendations, and communicate priorities, risks, tradeoffs, and progress to technical and nontechnical leaders. What You Bring to the Table: Required Five or more years of data engineering experience, including at least two years leading engineers formally or as a technical lead. Strong, hands-on experience using Microsoft Fabric in a production environment, beyond evaluation or proof-of-concept work. Working knowledge of Azure data services, including Azure Data Factory, Synapse, ADLS Gen2, and Azure SQL, and how those services integrate with or overlap Microsoft Fabric. Advanced T-SQL skills, including experience writing, tuning, testing, and maintaining stored procedure-based ETL at scale. Experience orchestrating and monitoring transformation pipelines, with a demonstrated ability to diagnose and resolve production failures. Proficiency in Python and working knowledge of Spark or PySpark. A strong foundation in dimensional and lakehouse or medallion data modeling, along with modern ETL and ELT design patterns. Experience with CI/CD and infrastructure as code, using tools such as Azure DevOps or GitHub Actions and Terraform or Bicep. Clear communication, sound judgment, and the ability to influence stakeholders while balancing hands-on delivery with team leadership. Preferred Microsoft Certified Fabric Analytics Engineer Associate DP-600 or Fabric Data Engineer Associate DP-700 certification. Experience managing data from enterprise source platforms such as Salesforce, ATS or VMS platforms, and ERP or finance systems, ideally in staffing or business services. Experience leading a data-platform migration or consolidation. Familiarity with applying AI to the data estate, including grounding large language models and natural-language query tools in governed semantic models and evaluating the accuracy of AI-generated answers. What We Bring to the Table: Salary Range The reasonably expected annual base compensation range for this position is $120,000–$150,000. This range reflects the minimum and maximum targets for new hires across the United States. Within the range, individual compensation is determined by job-related skills, experience, geographic location, and applicable state or local laws. Bonus Eligibility This position may also be eligible for an annual performance-based bonus opportunity of 10% of base salary, resulting in potential total annual cash compensation of approximately $132,000–$165,000. Bonus eligibility and payments are subject to the terms of the applicable incentive compensation plan. Benefits Health, dental, and vision coverage; Flexible Spending Account (FSA); 401(k); Health Reimbursement Account (HRA); Health Savings Account (HSA); life insurance; disability insurance; paid parental leave; holiday pay; and vacation and sick time. Perks Observed company holidays, up to 3 floating holidays, community and social events, learning and development, $100 per month student loan payment contribution, tuition reimbursement opportunity, access to Employee Assistance Program, and other health & wellness perks. Disclaimer: Employment is contingent upon successful completion of a background check conducted in accordance with applicable law. Depending on the requirements of the position, the background check may include, but is not limited to verification of employment history, education, criminal history, motor vehicle records, credit history, and other job-related information. Motor vehicle record and credit checks will be conducted only when relevant to the duties and responsibilities of the role. As Oxford is a global company hiring candidates, our perks and benefits packages may adjust based on your location. Direct applicants only; no recruitment agencies or third-party recruiters, please. For US job seekers: Salary Information: $120,000.00-$150,000.00 Annual Please contact [email protected] if you are interested in this position. Oxford is an Equal Employment Opportunity Employer. All qualified applications will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Oxford will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. Oxford provides holiday pay, paid time off, medical, dental, vision, life and disability benefit plans, flexible spending accounts, health savings accounts, employee tuition reimbursement, student debt assistance and a 401(k) Retirement Savings Plan. Oxford is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email [email protected]. We will make a determination on your request for reasonable accommodation on a case-by-case basis. Know Your Rights | Pay Transparency | Employee Rights Under the National Labor Relations Act At Oxford, everything is built on solid relationships. If you join the Oxford team, you will quickly see how we work together towards one common goal: delivering The Right Talent. Right Now. We lead with passion, positivity, and accountability through our words and actions, creating an environment where those we work with can think big, have fun, and know they make a difference. Not finding the right fit? Let us know you're interested in a future opportunity by clicking Get Started below or create an account by clicking 'Sign In' at the top of the page to set up email alerts as new job postings become available that meet your interest! While we may not have an opportunity that fits your needs right now, we are always on the lookout for the best and brightest talent. Join our talent community, and a member of our team will be in touch if we have any open positions that are a fit for you. Oxford is an Equal Employment Opportunity Employer. All qualified applications will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Oxford will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. Oxford is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email [email protected]. We will make a determination on your request for reasonable accommodation on a case-by-case basis. Know Your Rights | Pay Transparency | Employee Rights Under the National Labor Relations Act
Pay
$120k–150k/yr
Where
Pennsylvania Remote, United States of America
Work
Remote
Type
Not stated
Posted
26 Oct, 2026
Apply on the original postingSign in to apply

Verified board

more at oxfordcorp.com.

20 Oct, 2026

oxfordcorp.com

Sales Account Manager - Lab Services

OCoxfordcorp.com logo
  • Remote
  • Sales & Marketing

Dusseldorf +1

Remote

Details
11 Mar, 2026

oxfordcorp.com

Sales Intern

OCoxfordcorp.com logo
  • Internship
  • Intern
  • Remote
  • Sales & Marketing

$15–17/hr

Palm Beach Gardens +2

Details
25 Aug, 2026

oxfordcorp.com

Business Development Associate

OCoxfordcorp.com logo
  • Contract
  • Remote
  • Sales & Marketing

$20–25/hr

Madison +2

Details

similar roles.

28 Oct, 2026

bunq

Data Scientist Marketing

BUbunq logo
  • Full time
  • Data & ML

Amsterdam +2

Full time

Details
29 Oct, 2026

Ingredion

Data Scientist

INIngredion logo
  • Data & ML

Home Office - ECoE Mexico, Mexico

Salary not listed

Details
26 Oct, 2026

Algolia

Director, Engineering, AI Search

ALAlgolia logo
  • Leadership
  • Data & ML

London, England

Salary not listed

Details
29 Oct, 2026

Zalos

Joining Zalos AI.

ZAZalos logo
  • Data & ML

Location not stated

Salary not listed

Details
29 Oct, 2026

Atrisa

Join us in creatingAnalog CircuitsSuperintelligence.

ATAtrisa logo
  • Full time
  • Hybrid
  • Data & ML

Hybrid

Hybrid

Details
29 Oct, 2026

Fusion Consulting

AI / ML Developer

FCFusion Consulting logo
  • Full time
  • Remote
  • Data & ML

Hyderabad, in

Remote

Details