• Design and build production-grade data pipelines in Databricks using Spark/PySpark and SQL. • Develop and maintain an Analytics ID stitching pipeline using deterministic and probabilistic matching techniques across multiple customer data sources. • Build and manage modular data marts (Identity, Behavior, Demographics) with independent refresh cadences. • Implement and maintain a scalable feature store supporting downstream analytics and data science use cases. • Own the end-to-end data lifecycle: ingestion, transformation, validation, deployment, monitoring, and optimization. • Develop data quality frameworks including schema drift detection, anomaly monitoring, match-rate validation, and automated deduplication audits. • Implement CI/CD processes for multi-environment promotion (dev/staging/prod) in Databricks environments. • Coordinate orchestration workflows and manage dependencies using Databricks Workflows or similar tools. • Collaborate closely with Data Architects and Client stakeholders to translate business rules into scalable technical solutions. • Produce comprehensive technical documentation including data contracts, lineage maps, architecture diagrams, and operational runbooks.

• Design, build, and maintain reliable end-to-end ETL pipelines orchestrated with Apache Airflow • Integrate data from multiple sources (internal operational databases, third-party APIs, SaaS tools) into the Google Cloud Data Warehouse (BigQuery) • Design and evolve data models, warehouse schemas, and transformations to support scalable analytics and KPIs • Ensure data quality, reliability, and observability through monitoring, validation, and alerting • Own the product data structure, mapping product features and behaviors to analytics-ready data models • Define and maintain meaningful KPIs in collaboration with Product and BI • Enable analytics for AI-powered product features, ensuring visibility on usage, performance, quality, and business impact • Partner with Product, BI, and other stakeholders to gather requirements and deliver dashboards and reports • Maintain clear and up-to-date documentation for data models, pipelines, and metrics • Act as the primary bridge between Backend Engineering and BI, owning the flow from data production to analytics consumption • Triage, analyze, and address BI requests related to data availability, correctness, performance, and modeling • Collaborate with Backend Engineers on data contracts, schema evolution, and performance optimization, without owning core backend services • Proactively identify and resolve data-related issues impacting BI and Product teams • Own first-level monitoring and support for data pipelines and Airflow DAGs, ensuring timely resolution of failures • Collaborate with BI and Backend teams to troubleshoot and resolve complex issues • Continuously improve the stability, performance, and maintainability of the data platform.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Instructor - REMOTE. In this critical role, you will harness the power of technology to train and inspire individuals from diverse backgrounds to pursue rewarding careers in data engineering. The instructor will drive the curriculum forward by integrating modern tools and methodologies, ensuring students gain necessary skills such as Python, SQL, and Cloud Technologies. As a leader in the educational process, you will also be responsible for facilitating hands-on learning and mentoring students through their training journey. This remote position offers flexibility while contributing to meaningful community impact. Accountabilities - Deliver high-quality instruction in Data Engineering covering essential tools and technologies. - Manage and monitor student performance, providing individual feedback and support. - Facilitate hands-on labs, guiding students through practical coding exercises. - Leverage AI tools to enhance learning experiences and demonstrate technical concepts. - Support the curriculum by maintaining and updating lesson plans. - Handle administrative duties, including updating learning management systems. Qualifications - Bachelor’s Degree in Computer Science, Data Science, or related field, or equivalent experience. - Minimum 1 year of teaching or mentoring experience in a technical environment. - Proficiency in Google Gemini and other AI tools for instructional use. - Experience with Unix/Linux command line and basic shell scripting. - Knowledge of version control using Git and GitHub. - Strong Python programming skills, including libraries like NumPy and Pandas. - Familiarity with relational databases and SQL programming. - Experience with Big Data frameworks and ETL processes. - Proficiency in data visualization tools, specifically Tableau. - Experience using AWS services relevant to data analytics. Benefits - Competitive hourly compensation at $60/hour. - Opportunities for professional development and continuous learning. - Flexible remote work environment. - Be part of a mission-driven organization focused on community impact. - Access to comprehensive healthcare benefits. - 401K match to support your financial future. - Join a collaborative and supportive team culture.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineering Instructor - REMOTE. In this critical role, you will harness the power of technology to train and inspire individuals from diverse backgrounds to pursue rewarding careers in data engineering. The instructor will drive the curriculum forward by integrating modern tools and methodologies, ensuring students gain necessary skills such as Python, SQL, and Cloud Technologies. As a leader in the educational process, you will also be responsible for facilitating hands-on learning and mentoring students through their training journey. This remote position offers flexibility while contributing to meaningful community impact. - Deliver high-quality instruction in Data Engineering covering essential tools and technologies. - Manage and monitor student performance, providing individual feedback and support. - Facilitate hands-on labs, guiding students through practical coding exercises. - Leverage AI tools to enhance learning experiences and demonstrate technical concepts. - Support the curriculum by maintaining and updating lesson plans. - Handle administrative duties, including updating learning management systems. Qualifications - Bachelor’s Degree in Computer Science, Data Science, or related field, or equivalent experience. - Minimum 1 year of teaching or mentoring experience in a technical environment. - Proficiency in Google Gemini and other AI tools for instructional use. - Experience with Unix/Linux command line and basic shell scripting. - Knowledge of version control using Git and GitHub. - Strong Python programming skills, including libraries like NumPy and Pandas. - Familiarity with relational databases and SQL programming. - Experience with Big Data frameworks and ETL processes. - Proficiency in data visualization tools, specifically Tableau. - Experience using AWS services relevant to data analytics. Benefits - Competitive hourly compensation at $60/hour. - Opportunities for professional development and continuous learning. - Flexible remote work environment. - Be part of a mission-driven organization focused on community impact. - Access to comprehensive healthcare benefits. - 401K match to support your financial future. - Join a collaborative and supportive team culture.