Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

112000.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, SQL, Postgres, MySQL, Oracle, Spark, Databricks, Redshift, Data Validation, Collaboration, Problem-Solving, Analytical Skills, Organizational Skills, Attention to Detail, Higher Education Data

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in the United States. The Data Engineer will play a key role in designing, building, and maintaining robust data pipelines that support innovative applications in higher education and research. You will work closely with cross-functional teams including backend developers, UX researchers, product managers, and subject-matter experts to ensure reliable data ingestion, validation, and analytics. This role offers the opportunity to influence product features, improve data workflows, and contribute to projects with real-world impact on students, educators, and institutional partners. You will leverage modern cloud-based data platforms and analytics solutions to combine multiple datasets into actionable insights while adhering to best practices for data quality and integrity. This is a hands-on role that requires technical skill, collaboration, and a commitment to creating scalable solutions. The position also emphasizes learning, innovation, and supporting a team that values evidence-driven decision making. Accountabilities: Design, implement, and maintain flexible and reliable data pipelines for ingesting heterogeneous institutional data. Develop validation tooling and documentation to onboard new institutional partners efficiently. Collaborate with cross-functional teams to integrate backend systems, analytics platforms, and user-facing applications. Combine institutional data with application usage data to support user experience research and inform product strategy. Ensure data integrity, consistency, and reproducibility across all datasets used for analysis and reporting. Support rapid prototyping and the iterative development of novel data-driven products. 2–3 years of experience building robust data ingestion and validation pipelines feeding relational databases such as Postgres, MySQL, or Oracle. Advanced proficiency with SQL and experience with data warehouse or analytics platforms such as Spark, Databricks, or Redshift. Ability to collaborate effectively across multifunctional teams including engineers, UX designers, product managers, and subject-matter experts. Familiarity with student information systems, higher education data, or similar domains is a plus. Strong problem-solving, analytical, and organizational skills, with attention to detail. Commitment to teamwork, evidence-driven decisions, and organizational values. Competitive salary range: $90,000 – $112,000 per year, based on experience and skills. Employer-paid 10% retirement contribution. Comprehensive medical, dental, and vision plans. Paid parental and caregiver leave, plus 22 days of PTO, 11 paid holidays, and up to 12 sick days. Wellness benefits to support personal health and work-life balance. Opportunity to work remotely across the continental U.S. while contributing to impactful projects. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Data Engineer will design, build, and maintain data pipelines that support applications in higher education and research. This role involves collaborating with cross-functional teams to ensure reliable data ingestion, validation, and analytics.