You will be our Senior Data Engineer, reporting to engineering leadership and taking ownership of a data platform in its early stages. This is a high-ownership, build-from-the-foundation seat: you shape architecture, build reliable pipelines and trusted data models, and set engineering standards so our data scales with the company. Design and scale our data platform across pipelines, models, and orchestration.

Define and implement systems for data ingestion, storage, processing, and transformation. Optimize systems for performance, scalability, and cost from the start. Pipelines & Engineering Practices Build scalable ETL/ELT pipelines that ingest from APIs, databases, and event streams.

Apply software engineering principles such as testing, CI/CD, and modular design to data infrastructure. Establish best practices for data modeling, testing, and quality. Data Enablement & Partnership Build the semantic layer and dashboards that make data usable across the company.

Partner with engineering, product, and business teams to shape data requirements. Enable trusted, accessible data for BI and analytics decision-making. 5+ years building production software, with at least 2-3 years focused on data engineering. ~ Robust programming skills in Python and advanced proficiency in SQL. ~ Proven experience building end-to-end ETL/ELT pipelines.



~ Hands-on experience with a cloud platform (AWS, GCP, or Azure) and a modern data warehouse (Snowflake, BigQuery, or Redshift).

Experience supporting BI tools such as Looker or Tableau, and building semantic layers and dashboards.

Deep fluency across the full data lifecycle: ingestion, storage, processing, transformation, and serving.

Experience in early‑stage or 0‑to‑1 environments.

Experience with streaming pipelines such as Kafka or Kinesis. Exposure to ML/AI data pipelines, data analytics, or data science concepts. Familiarity with Ruby and Rails. S. candidates, the target salary range for this role is $170,000 – $190,000 USD, plus equity.

Final compensation is determined based on experience, skill set, scope of responsibility, interview performance, and geographic location. 100% coverage for health, dental, and vision insurance for employees (50% for dependents). ~ Generous PTO, including parental leave. ~Company laptop and home‑office stipend. ~ Bi‑annual company retreats. We are committed to building an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, genetic information, or any other legally protected status.

📌 Senior Data Engineer (Python) - Remote (Fitzgerald)
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📍 Fitzgerald