Data Engineer
Air Apps
About Air Apps At 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. Our 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. Join us on this journey to redefine resource management—and change lives along the way. The Role As 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. This role requires expertise in data architecture, ETL processes, and cloud-based data solutions to handle large volumes of structured and unstructured data. Responsibilities Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting. Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure . Implement real-time and batch data processing solutions for various business needs. Work with structured and unstructured data , ensuring proper data modeling and storage strategies. Ensure data reliability, consistency, and scalability through best practices in architecture and engineering. Collaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis. Automate data ingestion, transformation, and validation processes to improve data quality. Monitor and optimize query performance and data processing efficiency . Implement security, compliance, and governance standards for data storage and access control. Stay up to date with emerging data engineering trends, tools, and technologies . Requirements Around 4+ years of experience in data engineering, software engineering, or database management . Proficiency in SQL, Python, or Scala for data processing and automation. Hands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran . Strong understanding of data modeling, schema design, and database optimization . Experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows . Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2) . Strong problem-solving and debugging skills with the ability to handle large-scale data challenges . Experience working in fast-paced, data-driven environments with cross-functional teams. What benefits are we offering? Apple hardware ecosystem for work. Annual Bonus . Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Conference – an opportunity to meet the team, collaborate, and grow together. Transportation budget Free meals at the hub Gym membership Diversity & Inclusion At 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. Application Disclaimer At 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. #J-18808-Ljbffr Air Apps
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$140k - $180k
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...environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.Customers and users across the... ...hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety...Full timeTemporary workWork at officeLocal areaRemote workHome office3 days per week$170k - $220k
San Francisco or DenverEngineering /Full-Time /HybridWindfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and...Full time$150k - $160k
...your opportunity to grow professionally in a dynamic, global environment, surrounded by forward-thinking peers.The role of Senior Data Engineer is essential for the successful modernization of our data platforms and practices. The Senior Data Engineer will collaborate...Full time$128k - $249k
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About CheckrCheckr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely... ...people records powering every Checkr product. As a Senior Data Engineer, you'll lead the execution of core services and data pipelines,...Work at officeLocal areaRemote workRelocation3 days per week- ...The company is backed by climate-tech and Silicon Valley investors. For more information, please visit Role Overview As a Data Engineer at Gridware, you’ll help build and maintain the pipelines and data systems powering our Active Grid Response platform. You’ll work...Local area
$180k - $270k
...Job Description Job Description Staff Data Engineer (Founding Team) Location: San Francisco (In-office) Compensation: $180,000 – $270,000 + meaningful equity Start Date: Immediate About the Company We have partnered with an elite team in SF building an...Work at officeImmediate start$150k - $200k
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$160k
...analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented...Remote work$110k - $169k
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$133.2k - $159.84k
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