Data Developer

This Job Description outlines skill & experience requirements necessary to fulfill a Data Developer role with the Anseta Data Team. We are seeking out a self-driven individual to handle analytical, software development, and process development surrounding the ingestion, analysis, and reporting of financial data covering decentralized assets to traditional financial instruments to internal cost reporting.

Role & Responsibilities Summary

This role of Data Developer is a hybrid role between data analyst and developer. An understanding of how data analytics and product development intersect will be essential for fulfilling the duties of the role. Our team is international and primarily communicates in English. The Anseta team is a highly diverse team which means this role requires a level of flexibility in both work hours and communication styles.

Day-to-day, the data developer role reports to the Anseta data lead and will be responsible for the following activities:

ETL development and maintenance for platform core data acquisition for consumption by API’s and dashboards

Assisting with architecting data strategy and systems with the aforementioned Anseta lead

Consolidating data for the creation of monthly performance reports of decentralized proof-of-stake nodes

We do extensive data work across web3 and decentralized assets and prior experience and understanding of both how to access and interpret these technologies is strongly preferred

Actively evaluating and monitoring data quality

Maintain an understanding of the data collected and assist other team members understand and utilize our data (including non-technical).

Characteristics include

Sociable in a Remote Work Context: Proactively engages with distributed team members across time zones, maintaining transparent communication and strong professional rapport despite physical distance.

Engineering Mindset & Standards: Applies rigorous software engineering practices, clean code principles, and robust architecture to ensure high data accuracy, system performance, and scalable data pipeline design.

Clarity of Thought: Translates complex financial and technical data structures into clear, actionable insights for both technical teammates and non-technical stakeholders.

Independent: Takes full ownership of end-to-end data processes, driving complex data acquisition and integration initiatives forward with minimal direct oversight.

Discretion: Handles highly sensitive financial data and internal cost metrics with complete integrity, strict confidentiality, and strict adherence to data governance practices.

Preferred Skills

Data Analysis

Business Intelligence Platforms

Data Visualization (Looker Studio)

Languages

Typescript (For Platform development)

Rust (For high performance platform development) (Preferred)

Python (Preferred)

FrameWorks

Express

ORM Usage (Prisma experience wins points)

RDBMS: Postgres (w/ Timescale wins points)

Other (nice-to-haves)

GCP data stack (Bigquery, CloudSQL, etc.)

CloudSQL

Kubernetes

Spark

Kinesis

Looker Studio and adjacent

Kafka

AWS data stack

Data Orchestration (e.g., Apache Airflow, Prefect, Dagster)

Containerization & Infrastructure (e.g., Docker, Terraform)

Version Control & CI/CD (e.g., Git, GitHub Actions, GitLab CI)