16 days ago
Remote, AmericasMid Level / Senior
H1B sponsor
Responsibilities
- Own routine data platform engineering, backlog work, source onboarding, CI/CD maintenance, and infrastructure operations.
- Build, test, and maintain data models and pipelines supporting dashboards, finance and investor reporting, and the AI analytics layer.
- Provision and configure BigQuery datasets, views, GCS buckets, and IAM permissions using Terraform.
- Manage RBAC, data access controls, catalog metadata, PII tags, governance, and documentation.
- Improve platform reliability through stronger testing, observability, alerting, and root-cause troubleshooting.
- Support Airflow and dbt orchestration and scheduling, including troubleshooting builds in Cloud Composer.
- Build and maintain Python-based Fivetran SDK connectors with pagination, rate limiting, error handling, and automated tests.
- Partner with BI analysts and business stakeholders to create trustworthy datasets and improve engineering practices through code review and shared standards.
- Use AI coding tools to accelerate routine development work.
Requirements
- 3–5 years of experience in analytics engineering, data engineering, or BI engineering.
- Strong SQL, analytical query optimization, data modeling, grain, joins, and layered model design skills.
- Professional experience building and maintaining dbt projects, including packages, macros, incremental strategies, snapshots, seeds, deferred builds, state comparison, and slim CI.
- Experience with version control, code review, automated testing, CI/CD, and automation of repetitive work.
- Ability to diagnose data reliability issues involving freshness, volume, duplicates, and late-arriving data.
- Ability to translate business needs into data requirements and collaborate with non-technical stakeholders, including Finance.
- Comfort working across repositories for transformation, infrastructure, orchestration, connectors, and cloud resources.
- Proven daily use of AI coding tools.
- Ability to work independently in a remote global team with clear written communication and documentation habits.
- Fluent written and spoken English; additional languages are advantageous.
- Preferred experience with BigQuery, Fivetran, Apache Airflow/Cloud Composer, or equivalent AWS/Azure services.
- Preferred experience with data catalogs such as OpenMetadata or observability tools such as Elementary.
- Preferred experience with branch-based data deployments, slim CI, Docker image builds, and automated plan/apply workflows.
- Preferred experience provisioning BigQuery, IAM, or GCS resources with Terraform.
- Preferred experience writing Python integrations with REST APIs, including pagination, rate limiting, and error handling.
- Preferred experience with BigQuery partitioning, clustering, incremental strategies, slot consumption, and query cost optimization.
- Preferred experience debugging Docker and Kubernetes workloads, including pods, logs, and deployments, on GKE.
- Preferred experience with SQLFluff, pre-commit frameworks, or custom validation scripts.
- Prior experience modeling CRM, support, project management, marketing automation, or ERP data is beneficial.
Benefits
- Remote work with flexible working options and meaningful overlap with US time zones.
- Mexico and Colombia locations are available as full-time employment; other LATAM locations are available as contractor arrangements.
- Unlimited vacation.
- Health insurance for full-time employees.
- Parental leave for full-time employees.
- Employee stock option plan for full-time employees.
- Home office allowance for full-time employees.
- Professional development stipend for full-time employees.
- Peer recognition program for full-time employees.
Categories
Data Engineering
About DoiT
DoiT builds a multicloud management and FinOps platform, combined with embedded cloud engineering services, for companies running on AWS, Google Cloud, and Azure. It helps customers optimize costs, simplify billing, and improve architectures across Kubernetes, BigQuery, Snowflake, and Databricks. Founded in 2011 and headquartered in Santa Clara, it is a privately held cloud partner with a $100M Series A raised in 2019.