Senior Data Ops and Services Programmer

digitalextremes; United States; Remote; USD 70,000 - 81,000; Full time

Job summary

digitalextremes is seeking a senior data platform engineer to lead improvements to a self-hosted database and data warehousing stack. You will combine hands-on operations with architecture recommendations and project delivery.

You will build and tune pipelines, manage PostgreSQL and MongoDB, mentor teammates, and collaborate with data scientists and analysts to translate data needs into scalable solutions.

Qualifications

• Five+ years of industry experience with large codebases.
• Experience managing self-hosted PostgreSQL, MongoDB, or similar databases.
• Strong SQL skills in Linux/Unix environments.
• Hands-on experience with ETL orchestration tools such as Dagster or Airflow.
• Knowledge of data warehousing and relational data modeling.
• Experience leading projects and mentoring teams.

Responsibilities

• Maintain and tune database systems, including upgrades, monitoring, performance improvements, and hardware changes.
• Build and operate pipelines for data ingestion and processing, integrating sources while preserving data quality.
• Manage self-hosted databases for large-scale analysis and warehousing workloads.
• Review database architecture and recommend changes to support current needs and growth.
• Work with data scientists, analysts, and other teams to translate data needs into scalable solutions.
• Lead initiatives across teams by setting timelines, tracking progress, and supporting delivery; mentor colleagues and share knowledge.

Skills

SQL

Linux/Unix

ETL tools

Data warehousing

Team leadership

Mentoring

Tools

Dagster

Airflow

PostgreSQL

MongoDB

Job description

Role overview

Lead the improvement of a data platform built around self-hosted databases, pipelines, and data warehousing. The role combines hands‑on database operations and engineering with architecture recommendations, project delivery, and team mentorship, helping make data systems more reliable and scalable.

Responsibilities

• Maintain and tune database systems, including upgrades, monitoring, performance improvements, and hardware changes.
• Build and operate pipelines for data ingestion and processing, integrating sources while preserving data quality.
• Manage self-hosted databases for large-scale analysis and warehousing workloads.
• Review database architecture and recommend changes that support current needs and future growth.
• Work with data scientists, analysts, and other teams to translate data needs into scalable solutions.
• Lead initiatives across teams by setting timelines, tracking progress, and supporting delivery; mentor colleagues and share knowledge.

Requirements

• Five or more years of industry experience, including work in large codebases.
• Experience managing and optimizing self-hosted databases, including PostgreSQL, MongoDB, or other relational and NoSQL systems.
• Strong SQL skills and experience in Linux or Unix environments.
• Practical experience with ETL orchestration tools such as Dagster or Airflow.
• Knowledge of data warehousing and relational data modeling.
• Experience leading projects and teams, coordinating deliverables, and mentoring collaboratively.

Nice to have

• Experience working with data security, privacy, government policies, or GDPR requirements is relevant to the stated responsibilities.

Benefits and work setup

The stated salary range is $100,000–$115,000 CAD. Final compensation may vary with experience, skills, budget, location, and incentives. Flexible work arrangements and benefits are mentioned, with some benefits subject to eligibility.