Senior Data Engineer - Remote First

EPI Company; Stati Uniti; Remoto; USD 150.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Performance bonus

Benefits package

€5,000 learning budget

Descrizione del lavoro

EPI Company is seeking an accomplished Data Engineer to build dependable data foundations for payment, settlement and consumer data products in a regulated environment. You’ll develop batch and near-real-time pipelines and governed lakehouse products that support analytics, fraud, finance and operations, working autonomously with colleagues across technical and business teams.

You will ingest and model data from multiple sources, define data contracts, and implement governance controls to ensure

Competenze

• 8+ years of relevant experience in data engineering or backend data systems or a related field.
• Strong SQL and Python skills for production data pipelines.
• Production experience with Databricks or a comparable lakehouse, including governance, scheduling and Delta Lake design.
• Experience with dbt modelling, tests, documentation and DAG management.
• Practical knowledge of orchestration, CI/CD, deployment automation, data contracts and quality monitoring.
• Understanding of privacy-by-design and data governance; regulated-sector experience is preferred.
• Ability to turn unclear business needs into reusable data products and governed metrics.
• Fluent English and confidence working asynchronously across a distributed team.

Mansioni

• Ingest and model data from operational systems, event stores and external sources in a lakehouse.
• Build production pipelines with orchestration, retries, monitoring, alerting, reconciliation and incident response.
• Define data contracts for schemas, ownership, quality, freshness targets and breaking changes.
• Apply privacy and governance controls, including personal data classification, access, retention and auditability.
• Create reusable tooling, templates and deployment workflows for data product teams.
• Improve storage, compute and query performance while contributing to cloud cost oversight.
• Work with analytics, backend, fraud, finance, product and platform teams; document key data and technical decisions.

Conoscenze

SQL

Python

Strumenti

Databricks

Delta Lake

dbt

Descrizione del lavoro

Role overview

Build dependable data foundations for payment, settlement and consumer data products in a regulated environment. You’ll develop batch and near-real-time pipelines and governed lakehouse products that support analytics, fraud, finance and operational decisions, working autonomously with colleagues across technical and business teams.

Responsibilities

• Ingest and model data from operational systems, event stores and external sources in a lakehouse.
• Build production pipelines with orchestration, retries, monitoring, alerting, reconciliation and incident response.
• Define data contracts for schemas, ownership, quality, freshness targets and breaking changes.
• Apply privacy and governance controls, including personal data classification, access, retention and auditability.
• Create reusable tooling, templates and deployment workflows for data product teams.
• Improve storage, compute and query performance while contributing to cloud cost oversight.
• Work with analytics, backend, fraud, finance, product and platform teams; document key data and technical decisions.

Requirements

• At least eight years of relevant experience in data engineering, backend data systems or a related field.
• Strong SQL and Python skills for production data pipelines.
• Production experience with Databricks or a comparable lakehouse, including governance, scheduling, deployment and Delta Lake design.
• Experience with dbt modelling, tests, documentation and DAG management.
• Practical knowledge of orchestration, CI/CD, deployment automation, data contracts and quality monitoring.
• Understanding of privacy-by-design and data governance; regulated-sector experience is preferred.
• Ability to turn unclear business needs into reusable data products and governed metrics.
• Fluent English and confidence working asynchronously across a distributed team.

Nice to have

• Kafka or similar event-driven ingestion, schema registries, Terraform, container deployment or data observability experience.
• Databricks or AWS certifications.

Benefits and work setup

Remote-first, with in-person team meetings at least quarterly and the option to work from another EU country for up to three months each year. The package includes salary, performance bonus, benefits and a €5,000 annual learning budget.