Senior Data Engineer (Remote - New Jersey) at Jobgether

, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

150000.0

Posted On

19 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL Server, PostgreSQL, Tableau, R, Python, Dataiku, Predictive Analysis, Data Administration, Data Warehousing, Star Schemas, Visualization Techniques, Problem-Solving, Analytical Skills, Attention To Detail, Communication Skills, Collaboration Skills

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in New Jersey (USA). This role offers the opportunity to play a pivotal part in designing, maintaining, and optimizing enterprise data systems in a fast-paced, innovative environment. You will ensure the seamless flow of accurate data across the organization while supporting reporting, analytics, and decision-making processes. The position emphasizes hands-on expertise with databases, data engineering pipelines, and advanced analytics tools. You will monitor systems for anomalies, troubleshoot issues, and provide guidance to internal teams on data best practices. The role also involves collaborating with stakeholders to ensure compliance with policies, supporting data-driven initiatives, and helping the organization leverage its data for strategic advantage. Accountabilities Build and maintain efficient processes for organizing, storing, and analyzing data while ensuring availability and consistency. Implement and enforce policies for effective data management and governance. Design and maintain procedures for secure and accurate data collection, handling, and analysis. Monitor data systems, respond to anomalies, and troubleshoot issues as the primary point of contact. Establish protocols for data sharing with senior leadership and external stakeholders. Support teams in the use of data systems, ensuring compliance with legal and organizational standards. Assist in creating reports, data extractions, and system performance improvements. 7+ years of experience as a Data Engineer, Data Analyst, or similar role. Expertise in SQL Server (MS and PostgreSQL), Tableau, R, and Python. Experience with data platforms such as Dataiku and predictive analysis tools. Strong understanding of data administration, warehousing, star schemas, and visualization techniques. Advanced problem-solving, analytical skills, and attention to detail. Excellent communication and collaboration skills, with the ability to work remotely across teams. Proficiency with Microsoft Office and collaboration tools like Slack and MS Teams. Bachelor’s degree or equivalent experience required; advanced degrees or certifications are a plus. U.S.-based with reliable high-speed internet and a designated quiet workspace for remote work. Annual salary range: $125,000 – $150,000. Medical, dental, and vision insurance. Short- and long-term disability coverage (company-paid). Employee life insurance & voluntary spouse/child coverage. Healthcare, dependent care, and transit FSAs, plus HSA options. 401(k) with generous matching contribution and no vesting schedule. 20 days of PTO annually (prorated based on hire date), plus company-paid holidays and 2 “choose your own” holidays. Remote work with occasional travel for team meetings or training. 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 3 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 Senior Data Engineer will design, maintain, and optimize enterprise data systems while ensuring the seamless flow of accurate data across the organization. This role involves monitoring systems for anomalies, troubleshooting issues, and collaborating with stakeholders to support data-driven initiatives.