Senior Data Specialist - (Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will play a crucial part in transforming data into actionable insights that drive decision-making. Your expertise will impact various projects aimed at enhancing our data infrastructure and automating processes, ensuring timely data delivery across teams. You will work in a dynamic, collaborative environment that supports your growth and innovation while leveraging leading technologies. Join us and contribute to meaningful data solutions that affect millions of users every day. \n Accountabilities Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Collaborate with stakeholders and data science teams to develop data products aligned with organizational goals. Create unit and stress-test components to monitor technical performance. Develop data analysis tools to provide insights and, innovation and collaboration. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 Responsibilities Build and maintain infrastructure and data automation pipelines to ingest and process data from various sources. Collaborate with stakeholders and data science teams to develop data products and analysis tools that drive organizational decision-making.

Data Engineering, AWS, Python, Spark, PySpark, SQL, Dimensional Data Modeling, Airflow, DynamoDB, Elasticsearch, Data Automation, Data Governance, capture key metrics. Research solutions and maintain technical documentation. Follow best practices for data governance, quality, and cleansing. Requirements 7+ years of experience in data engineering within a production environment. Proven experience managing large datasets exceeding 100M+ records. 2+ years of experience with AWS-based scalable, distributed systems. 5+ years of programming experience in Python. 5+ years in big data ecosystems with a focus on Spark; PySpark preferred. 3+ years of experience with SQL and dimensional data modeling. 2+ years of experience using dataflow orchestration tools like Airflow. 2+ years working with non-relational databases (DynamoDB, Elasticsearch). A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field. Benefits Bonus program and equity plans. 401(k) plan with company matching. 100% medical/dental/vision coverage. Unlimited employee PTO. Merit-based salary increases annually. Great company culture promoting