Remote opportunity at
DoiTAnalytics Engineer
DoiT, a global technology company supporting cloud-driven organizations with multi-cloud solutions, Kubernetes, GenAI, and CloudOps, is seeking an Analytics Engineer to join its Business Intelligence team…
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About This Role
DoiT, a global technology company supporting cloud-driven organizations with multi-cloud solutions, Kubernetes, GenAI, and CloudOps, is seeking an Analytics Engineer to join its Business Intelligence team within Business Systems Engineering. Operating as a remote position based in Mexico, Colombia, or other LATAM regions as a contractor with hours overlapping US time zones, this role focuses on building, running, and maintaining the governed data platform relied upon by hundreds of employees…
Job Description
DoiT, a global technology company supporting cloud-driven organizations with multi-cloud solutions, Kubernetes, GenAI, and CloudOps, is seeking an Analytics Engineer to join its Business Intelligence team within Business Systems Engineering. Operating as a remote position based in Mexico, Colombia, or other LATAM regions as a contractor with hours overlapping US time zones, this role focuses on building, running, and maintaining the governed data platform relied upon by hundreds of employees across multiple business domains.
This position suits an independent professional who automates repetitive tasks, treats data models like production code, and implements robust testing and monitoring. The incumbent will take ownership of daily platform engineering, manage infrastructure as code using Terraform, oversee role-based access control, write custom Python connectors, and partner closely with BI analysts and engineers while reporting to the Head of Business Intelligence.
Responsibilities
- Manage routine model changes, manage the engineering backlog, onboard new data sources, maintain CI/CD, and handle infrastructure operations
- Develop, test, and maintain data models and pipelines supporting dashboards, finance reporting, investor updates, and AI analytics across more than 15 business domains
- Provision and configure BigQuery datasets, views, Google Cloud Storage buckets, and IAM permissions using Terraform
- Expand and maintain the role-based access control framework and keep data catalog metadata current
- Enhance platform reliability through improved testing standards, monitoring, and alerting
- Supervise Airflow scheduling, tag models, and troubleshoot build failures in Cloud Composer
- Write and maintain Python-based Fivetran SDK connectors when native options are unavailable
- Collaborate with BI analysts to convert requests into trustworthy datasets and uphold engineering standards through code reviews
- Utilize modern AI coding tools to accelerate routine tasks and draft code
Requirements
- Possess 3 to 5 years of professional experience in analytics engineering, data engineering, or BI engineering
- Demonstrate strong SQL and data modeling skills to design layered models and optimize analytical queries
- Bring professional expertise in dbt for data transformation, including packages, macros, incremental strategies, and snapshots
- Apply software engineering disciplines such as version control, code review, automated testing, and CI/CD
- Show pipeline reliability instincts to root-cause data issues regarding freshness, volume, and duplicates
- Translate business requirements effectively and communicate with non-technical stakeholders like finance teams
- Navigate across multiple repositories encompassing transformations, infrastructure, orchestration, and custom connectors
- Demonstrate a track record of utilizing AI coding tools in daily workflows
- Communicate fluently in written and spoken English
Qualifications
- Hands-on experience with Google BigQuery, Fivetran, and Apache Airflow or equivalent cloud environments
- Familiarity with data catalog and governance tools like OpenMetadata or observability tools like Elementary
- Experience with Git-based CI/CD workflows for data projects, branch-based deployments, and Docker image builds
- Background provisioning BigQuery datasets, IAM bindings, or GCS buckets using Terraform
- Experience writing Python code that interacts with REST APIs
- Understanding of dbt compilation, Jinja, and running phases beyond basic references
- Knowledge of BigQuery performance tuning including partitioning, clustering, and slot consumption
- Familiarity with Docker and basic Kubernetes concepts on GKE
- Experience with SQLFluff, pre-commit frameworks, or custom validation scripts
- Prior experience modeling data from CRM, support, marketing automation, ERP, or project management platforms
Core Skills
Benefits
- Unlimited vacation
- Flexible working options
- Health insurance
- Parental leave
- Employee stock option plan
- Home office allowance
- Professional development stipend
- Peer recognition program
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this Analytics Engineer position located?
The role is based remotely in Mexico or Colombia as a full-time employee, or in other LATAM locations as a contractor, requiring working hours that overlap meaningfully with US time zones.
What is the employment type for this role?
It is offered as a full-time employee position in Mexico and Colombia, or as a contractor in other LATAM locations.
What salary is offered for the Analytics Engineer role?
The salary is not specified in the job posting.
Who will the Analytics Engineer report to?
The role reports directly to the Head of Business Intelligence.
Sample Interview Questions
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