{"id":1309260,"url":"https://alion.io/job/airapps-data-engineer-10","title":"Data Engineer","company":{"id":3822995,"name":"Air Apps","domain":"airapps.co","url":"https://alion.io/company/airapps","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":91,"open_postings":411,"ghost_share":0.071,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111000,"max":196000,"currency":"USD","period":"year","gross":null,"usd_annual":196000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GDPR","optional":true},{"name":"Kubernetes","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2025-03-28T11:09:54Z","employer_posted_date":"2025-03-28","last_verified_at":"2026-09-28T16:10:01Z","board_verified":true,"closed_at":null,"days_open":549,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":548},"description":"About Air Apps\nAt Air Apps, we believe in thinking bigger-and moving faster. We’re a family-founded company on a mission to create the world’s 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 2018-and now with offices in both Lisbon and San Francisco-we’ve remained self-funded while reaching over 100 million downloads worldwide.\nOur 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, you’ll be a creative force, shaping products that empower people across the globe.\nJoin us on this journey to redefine resource management-and change lives along the way.\nThe Role\nAs a Data Engineer at Air Apps, you will be responsible for designing, building, and optimizing data pipelines, data warehouses, and data lakes to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.\nThis role requires expertise in data architecture, ETL processes, and cloud-based data solutions to handle large volumes of structured and unstructured data.\nResponsibilities\nDesign, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting.\n\nDevelop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure.\n\nImplement real-time and batch data processing solutions for various business needs.\n\nWork with structured and unstructured data, ensuring proper data modeling and storage strategies.\n\nEnsure data reliability, consistency, and scalability through best practices in architecture and engineering.\n\nCollaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis.\n\nAutomate data ingestion, transformation, and validation processes to improve data quality.\n\nMonitor and optimize query performance and data processing efficiency.\n\nImplement security, compliance, and governance standards for data storage and access control.\n\nStay up to date with emerging data engineering trends, tools, and technologies.\n\nRequirements\nAround 4+ years of experience in data engineering, software engineering, or database management.\n\nProficiency in SQL, Python, or Scala for data processing and automation.\n\nHands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake).\n\nExperience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran.\n\nStrong understanding of data modeling, schema design, and database optimization.\n\nExperience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus.\n\nFamiliarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows.\n\nKnowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2).\n\nStrong problem-solving and debugging skills with the ability to handle large-scale data challenges.\n\nExperience working in fast-paced, data-driven environments with cross-functional teams.\n\nWhat benefits are we offering?\nApple hardware ecosystem for work.\n\nAnnual Bonus.\n\nMedical Insurance (including vision & dental).\n\nDisability insurance - short and long-term.\n\n401k up to 4% contribution.\n\nAir Conference - an opportunity to meet the team, collaborate, and grow together.\n\nTransportation budget\n\nFree meals at the hub\n\nGym membership\n\nDiversity & Inclusion\nAt 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.\nApplication Disclaimer\nAt Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. 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