Remote Data Engineer

Description:

• 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 include designing, building, and maintaining scalable data pipelines and ETL workflows to support analytics and reporting.
• You will develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure.
• Implementing real-time and batch data processing solutions for various business needs is also part of the role.
• You will work with structured and unstructured data, ensuring proper data modeling and storage strategies.
• Ensuring data reliability, consistency, and scalability through best practices in architecture and engineering is essential.
• Collaboration with data analysts, scientists, and software engineers will enable efficient data access and analysis.
• You will automate data ingestion, transformation, and validation processes to improve data quality.
• Monitoring and optimizing query performance and data processing efficiency is a key responsibility.
• Implementing security, compliance, and governance standards for data storage and access control is required.
• Staying up to date with emerging data engineering trends, tools, and technologies is expected.

Requirements:

• You should have around 4+ years of experience in data engineering, software engineering, or database management.
• Proficiency in SQL, Python, or Scala for data processing and automation is required.
• Hands-on experience with cloud-based data solutions such as AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake is necessary.
• Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran is essential.
• A strong understanding of data modeling, schema design, and database optimization is required.
• Experience with big data frameworks like Apache Spark, Hadoop, Kafka, or Flink is a plus.
• Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows is expected.
• Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2) is necessary.
• Strong problem-solving and debugging skills with the ability to handle large-scale data challenges are required.
• Experience working in fast-paced, data-driven environments with cross-functional teams is essential.

Benefits:

• Air Apps offers a remote-first approach with flexible working hours.
• You will receive Apple hardware as part of the work ecosystem.
• An annual bonus is provided to employees.
• Medical insurance, including vision and dental coverage, is offered.
• Disability insurance, both short and long-term, is included.
• A 401k plan with up to a 4% contribution is available.
• An Air Stipend of $3,120 per year, paid over 12 monthly installments, is provided for home office, learning, wellness, and other expenses.
• Employees will have the opportunity to attend the Air Conference 2025 in Las Vegas to meet the team, collaborate, and grow together.