Data Engineer – Customer Engineering

TITLE: Customer Data Engineer – Python, ETL, SQL LOCATION: Remote (U.S.- based, preference for PST or Central time zones) PAY: Target pay for this role is between $60 and $85 per hour and varies based on relevant experience and seniority ENGAGEMENT TYPE: Contract to Hire DURATION: Contract expected to last 6–8 months with intention for full-time conversion What You’ll Be Doing We are hiring for two roles: a hands-on Data Engineer and a Senior Data Engineer who will serve as a technical lead and potential architectural owner. Each will play a critical role supporting customer migration into a SaaS platform, working within an existing engineering ecosystem to configure, migrate, and optimize data pipelines. This is a highly visible role interacting with internal teams, external customers, and implementation partners. Key Responsibilities Include • Supporting customer migration into a SaaS platform • Configuring systems for onboarding and data migration • Building and maintaining data pipelines, including data loading and validation • Transforming raw data into structured data models • Supporting automation of data workflows and offboarding processes • Identifying and automating manual processes • Collaborating cross-functionally with engineering, product, and implementation teams • Enhancing existing systems (not greenfield development) This is an opportunity to make a meaningful impact in a fast-moving, collaborative environment while contributing to a growing, product-driven organization focused on improving real-world outcomes. Who We’re Looking For • 5–10+ years of data engineering experience (mid-level); 10+ years (senior-level) • Strong experience with ETL/ELT processes, data modeling, and data transformation • Proficiency in Python and/or Java • Experience with relational databases and SQL querying • Experience building and supporting data pipelines, including validation and loading • Experience working with SaaS platforms and/or customer data integrations • Clear verbal and written communication skills with effective customer service skills • Proven ability to work cross-functionally and support customer-facing initiatives • Authorization to work in the U.S. is required; no sponsorship available Preferred (not Required) • Experience with AWS or cloud-based data environments • Experience in healthcare or regulated industries • Familiarity with compliance standards such as HIPAA, SOC, or HITRUST • Experience working in Agile environments • Experience with BI tools or dashboarding About Our Client Our client is a growing, product-led technology company focused on delivering impactful solutions within a complex data ecosystem. They offer a collaborative, nimble environment where innovation, efficiency, and continuous improvement are highly valued. WHY ProFocus Candidates come first. ProFocus is a five-time award winner for Best in Staffing for Talent Satisfaction due to our World-Class service to our amazing candidates. Quality process. We invest the time to learn about your skills, experience, and career goals in detail so we can find you a position that is a great fit. Access to hiring managers. We have close relationships with some of the most respected companies, from small businesses to Fortune 500 companies. Due to those relationships, we can provide direct access to managers and positions that may not be available anywhere else. Excellent benefits. We offer medical, dental, vision, 401k, education reimbursement, sick leave, and employer-paid short-term disability and life insurance. Review our detailed benefits here. Want to learn more? Contact one of our recruiters here or email info@ProFocusTechnology.com. Please email us your resume to apply: Resume@ProFocusTechnology.com ProFocus is an equal opportunity employer. We value diversity in our workplace and encourage all qualified applicants regardless of race, color, age, sex, religion, national origin, physical or mental disability, pregnancy, marital status, veteran or military status, genetic information, sexual orientation, or any other characteristic protected by federal, state, or local laws.