Senior Data Engineer (Remote ) at Jobgether

, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Based Architectures, ETL, ELT, Python, SQL, Terraform, Big Data, Hadoop, Spark, Kafka, Git, GitHub, Ansible, Data Security, Communication

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 Tennessee (USA). In this role, you will design, implement, and optimize advanced data solutions to support complex business and client needs. You will work closely with cross-functional teams to develop cloud-based architectures, manage ETL/ELT pipelines, and ensure data integrity, security, and scalability. This position combines hands-on technical delivery with mentorship responsibilities, guiding junior engineers and contributing to best practices across projects. You will also engage with clients to understand requirements and deliver innovative, high-impact solutions. The environment is dynamic, collaborative, and focused on leveraging cutting-edge technologies to solve challenging data problems. Accountabilities: Design and develop scalable, efficient cloud-based data architectures to meet client and business requirements. Implement data integration solutions using APIs, web services, and ETL/ELT pipelines to ensure seamless information flow. Manage and optimize databases for performance, reliability, and scalability, applying best practices for indexing and query optimization. Maintain data security and compliance with relevant regulations and standards. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to deliver high-quality solutions. Mentor and coach junior team members, sharing knowledge, reviewing code, and promoting best practices. Assist in client engagements, including requirement gathering, solution design, and post-deployment enablement. Develop proof-of-concepts, lab environments, and business cases to demonstrate the benefits of advanced data solutions. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. Proven experience as a Data Engineer or similar role, with demonstrated success delivering complex projects. Proficiency in Python, SQL, YML, Terraform, and related coding or scripting languages. Hands-on experience with cloud platforms (AWS, Azure, GCP) and associated data services (e.g., Databricks, BigQuery). Familiarity with Big Data technologies such as Hadoop, Spark, Kafka, and related tools. Experience with SCM tools such as Git, GitHub, and GitLab. Knowledge of automation and configuration management solutions (e.g., Ansible, Terraform, Octopus Deploy, AWS Config, Azure Automation). Strong communication skills to convey technical concepts to non-technical stakeholders. Bilingual French & English is an asset. Optional but preferred certifications: Google Professional Data Engineer, Databricks Certified Data Engineer, Azure or AWS data engineering certifications. Competitive salary and performance-based incentives Remote work flexibility Career development and on-the-job training opportunities Inclusive and collaborative work environment Opportunities to work on innovative data and cloud 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

Design and develop scalable cloud-based data architectures and implement data integration solutions. Collaborate with cross-functional teams and mentor junior engineers while ensuring data integrity and security.