Data Engineer – Starlink Growth/Remote

Apetan Consulting LLC is seeking a Data Engineer to support growth initiatives for Starlink, focusing on building scalable data pipelines and analytics systems. The role involves collaborating with growth, product, and analytics teams to enable data-driven decision-making across customer acquisition, retention, and market expansion.

Responsibilities:

• Design, build, and maintain robust data pipelines for growth analytics
• Develop scalable ETL/ELT processes to ingest and transform data from multiple sources
• Partner with growth and product teams to define data requirements and metrics
• Build and optimize data models for reporting and experimentation
• Enable A/B testing frameworks and experimentation infrastructure
• Ensure data quality, integrity, and reliability across systems
• Monitor pipeline performance and troubleshoot issues
• Support dashboards, reporting, and self-service analytics

Requirements:

• Strong programming skills in Python, SQL, or similar languages
• Experience building and maintaining data pipelines (batch and/or streaming)
• Familiarity with data warehousing solutions (BigQuery, Snowflake, Redshift)
• Experience with workflow orchestration tools (Airflow, Prefect, etc.)
• Knowledge of data modeling and schema design
• Understanding of APIs and data ingestion techniques
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience supporting marketing, growth, or product analytics use cases
• Familiarity with metrics like CAC, LTV, retention, churn, and funnel analysis
• Experience with experimentation (A/B testing frameworks and analysis)
• Ability to work with large-scale user and behavioral datasets
• Strong problem-solving and analytical thinking
• Effective communication with technical and non-technical stakeholders
• Ownership mindset and attention to detail
• Experience with streaming technologies (Kafka, Pub/Sub)
• Familiarity with BI tools (Looker, Tableau, Power BI)
• Knowledge of geospatial or telecom-related data (nice to have)
• Exposure to machine learning data pipelines
• Experience working with high-scale consumer or telecom platforms
• Passion for space, satellite technology, or global connectivity initiatives