Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

90000.0

Posted On

29 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, ETL, Data Modeling, Data Warehousing, Data Governance, Problem Solving, Communication, Python, Relational Databases, Data Integration, Cloud Platforms, Star Schema, Snowflake Schema, Dimensional Modeling, Analytical Skills, Organizational Skills

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. We are seeking a motivated and detail-oriented Data Engineer to design, develop, and maintain robust data pipelines and warehouse solutions. In this role, you will support business intelligence and analytics initiatives by ensuring clean, reliable, and accessible data across the organization. You will collaborate with cross-functional teams to translate complex business requirements into scalable technical solutions, optimize ETL processes, and contribute to data governance and quality initiatives. The ideal candidate combines strong technical expertise in SQL, ETL, and data modeling with effective communication and problem-solving skills. This role offers the opportunity to make a meaningful impact in a mission-driven organization while working in a hybrid environment with flexible collaboration. Accountabilities Design, develop, and maintain ETL processes to support business intelligence reporting and analytics. Build and optimize data models, data warehouses, and data marts for reliable and efficient reporting. Collaborate with business analysts and BI developers to ensure data quality, consistency, and accessibility. Monitor, troubleshoot, and optimize data pipeline performance and reliability. Document data flows, transformation logic, and system configurations for internal reference. Support data governance initiatives by implementing standards and monitoring compliance. Translate complex business requirements into scalable technical solutions. Participate in cross-functional teams to deliver high-quality data solutions that meet business needs. Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field. Minimum of 1 year of experience in building data warehouse or business intelligence solutions. Strong proficiency in SQL and basic scripting languages such as Python. Solid understanding of relational databases, ETL tools, and data integration concepts. Familiarity with Microsoft Fabric components (OneLake, Lakehouse, Dataflows Gen2, Pipelines) or other data warehousing architectures is preferred. Knowledge of cloud data platforms (Azure, AWS, GCP) is a plus. Experience with Star and Snowflake schema design and dimensional modeling is preferred. Strong analytical, problem-solving, and organizational skills. Excellent written and verbal communication skills to collaborate with technical and non-technical stakeholders. Self-motivated with the ability to manage multiple tasks, meet deadlines, and follow through on initiatives. Competitive salary range: $80,000 – $90,000 per year. Medical, dental, and vision insurance. Paid time off: 3+ weeks in the first year, including the week between Christmas and New Year’s; increases with tenure. 11 paid holidays annually. Supplemental insurance options. 401(k) plan with company match. Hybrid work schedule with flexibility for projects and events. Leadership development opportunities and one-on-one mentorship programs. Eligible for Public Service Loan Forgiveness (PSLF). 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

Design, develop, and maintain ETL processes to support business intelligence reporting and analytics. Collaborate with cross-functional teams to ensure clean, reliable, and accessible data across the organization.