Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer in United States. This role offers the opportunity to drive the development of large-scale, distributed data systems that power advanced analytics and machine learning in a fast-paced, mission-driven environment. You will design, build, and maintain robust data pipelines, process structured and unstructured data, and develop database models to support real-time and batch workflows. Working closely with cross-functional teams, you will help architect scalable solutions, automate deployment pipelines, and ensure data quality across the platform. This position allows you to have a direct impact on decision-making, product delivery, and operational efficiency while contributing to a company shaping the future of clean energy technology. Accountabilities: Build and maintain data flow channels and processing systems to extract, transform, and load data from various sources. Develop data pipelines using technologies such as Airflow and implement real-time and batch data processing. Design and maintain database models, create new data schemas in Postgres, and manage migrations using TypeORM. Write GraphQL queries to interact with databases for data retrieval and updates. Build and automate DevOps pipelines for continuous integration and deployment using GitLab. Participate in system-level design discussions and present technical solutions to product teams. Debug, modify, and optimize code based on testing cycles, defect reports, and user acceptance testing. Collaborate with engineering, product, and operations teams to deliver high-quality, scalable data solutions. Bachelor’s degree in Computer Science, Data Science, Machine Learning, AI, Engineering Management, or related fields. 5+ years of experience as a Data Engineer, Data Analyst, Software Engineer, or a related role, with progressive responsibilities. Proven experience developing globally distributed data services platforms. Proficiency in Python, Go, Java, Rust, or Julia for data engineering tasks. Strong experience in building ETL/ELT pipelines, processing structured and unstructured datasets. Knowledge of large-scale data technologies such as Airflow, Luigi, Spark, Kafka, Elasticsearch, Cassandra, and relational databases (Postgres, MySQL, MongoDB). Skilled in SQL query authoring for analytics and data accessibility. Experience with root cause analysis, data architecture optimization, and integrating complex datasets. Strong problem-solving, communication, and collaboration skills in a cross-functional environment. Eligible to work in the United States; remote work is permitted. Competitive base salary ranging from $177,341 to $190,000. Comprehensive medical, dental, and vision coverage. 401k retirement plan with company contributions. Equity grants to own a meaningful piece of the company. Flexible, remote-first work environment with unlimited vacation. Accelerated professional growth through mentorship and collaboration with industry experts. Opportunity to work on cutting-edge technology supporting global clean energy initiatives. 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