Build and maintain data pipelines, warehouse layers, and quality systems that power program analytics, machine learning, and field evaluation, while supporting RTV’s evolving data infrastructure and AI platforms.
Data Engineer
📜 Description
- Build ETL/ELT pipelines ingesting transformer, pole, and sensor telemetry into the Data Lake and Lakehouse.
- Develop batch and real-time ingestion processes using Python, SQL, Databricks, and Spark.
- Implement data quality checks, validation rules, and automated tests.
- Collaborate with Software, Firmware, and Data Science teams on schemas and transformations.
- Optimize pipeline throughput and cost, monitor reliability, troubleshoot issues, and participate in on-call rotations.
- Document data processes, models, and metadata.
🛠️ Requirements
- 2–4 years of experience as a Data Engineer (or Backend Engineer with heavy data exposure)
- Strong proficiency in Python and SQL
- Familiarity with data warehouses, Lakehouse platforms, or big data tools (Databricks, Spark, or equivalent)
- Experience with pipeline orchestration tools (Airflow, Dagster, Prefect, etc.)
- Understanding of event-driven systems or streaming platforms (Kafka, Kinesis, Pub/Sub)
- Solid foundation in data modeling, testing, and version control
- Ability to work collaboratively in a high-autonomy, fast-paced environment
- Experience with IoT, telemetry ingestion, or time-series data
- Exposure to Unity Catalog, governance, or schema enforcement
- Understanding of Protobuf, Avro, Parquet, or serialization formats
✨ Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Paid parental leave
- Alternating day off every other Monday
- Two-week annual paid break (“Off the Grid”)
- Commuter allowance
- Company-paid training
Full job description
Responsibilities
Required Skills
Bonus Skills
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