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Data Engineer
Data EngineerAir Apps • San Francisco, CA, United States
Data Engineer

Data Engineer

Air Apps • San Francisco, CA, United States
1 day ago
Job type
  • Full-time
Job description

divh2Data Engineer Role At Air Apps / h2pAt Air Apps, we believe in thinking biggerand moving faster. Were a family-founded company on a mission to create the worlds first AI-powered Personal Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018and now with offices in both Lisbon and San Franciscoweve remained self-funded while reaching over 100 million downloads worldwide. / ppOur long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, youll be a creative force, shaping products that empower people across the globe. / ppJoin us on this journey to redefine resource managementand change lives along the way. / ph3Responsibilities / h3ulliDesign, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting. / liliDevelop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure. / liliImplement real-time and batch data processing solutions for various business needs. / liliWork with structured and unstructured data, ensuring proper data modeling and storage strategies. / liliEnsure data reliability, consistency, and scalability through best practices in architecture and engineering. / liliCollaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis. / liliAutomate data ingestion, transformation, and validation processes to improve data quality. / liliMonitor and optimize query performance and data processing efficiency. / liliImplement security, compliance, and governance standards for data storage and access control. / liliStay up to date with emerging data engineering trends, tools, and technologies. / li / ulh3Requirements / h3ulliAround 4+ years of experience in data engineering, software engineering, or database management. / liliProficiency in SQL, Python, or Scala for data processing and automation. / liliHands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). / liliExperience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran. / liliStrong understanding of data modeling, schema design, and database optimization. / liliExperience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus. / liliFamiliarity with orchestration tools, containerization (Docker, Kubernetes), and CI / CD workflows. / liliKnowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2). / liliStrong problem-solving and debugging skills with the ability to handle large-scale data challenges. / liliExperience working in fast-paced, data-driven environments with cross-functional teams. / li / ulh3What Benefits Are We Offering? / h3ulliApple hardware ecosystem for work. / liliAnnual bonus. / liliMedical insurance (including vision dental). / liliDisability insurance - short and long-term. / lili401k up to 4% contribution. / liliAir stipend of $3,120 / year, paid over 12 monthly installments (for home office, learning, wellness, etc.). / liliAir Conference 2025 in Las Vegas an opportunity to meet the team, collaborate, and grow together. / li / ulh3Diversity Inclusion / h3pAt Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. / ph3Application Disclaimer / h3pAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. / p / div

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Data Engineer • San Francisco, CA, United States

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