Senior Data & Platform Engineer

Truelogic Software

Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability.; Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows…

Posted 6/29/2026Verified active Jul 25, 2026, 12:34 AMfull-timeRemote • 🇵🇦 PanamaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrated expertise in building and maintaining data platforms, with a strong focus on data pipeline orchestration, data warehousing, and observability. Proficient in managing Snowflake and dbt for data transformations, alongside hands-on experience with Kubernetes and Terraform for infrastructure management.

Highest-signal resume keywords

Data Platform ReliabilityData Pipeline OrchestrationSnowflake ManagementETL DevelopmentInfrastructure Provisioning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Apache AirflowSnowflakeDbtSQLPythonKubernetesTerraformDatadogPostgreSQLChange Data Capture (CDC)

Soft Skills

Problem SolvingAttention to DetailCollaborationCommunicationAdaptability

Tools & Technologies

Apache AirflowSnowflakeDbtKubernetes (EKS)TerraformDatadogPostgreSQLDebeziumAmazon RDSAmazon S3

Industry Keywords

Data EngineeringData WarehousingETLObservabilityCost Governance

Tech Stack

Tools & technologies

AirflowAmazon redshiftApacheAwsElixirErlangEtlKafkaKubernetesPythonSqlTerraform

About the role

Key responsibilities & impact

Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability.
Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads.
Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance.
Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation.
Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests.
Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform.
Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery.
Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations.
Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes.
Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog.

Requirements

What you’ll need

5+ years of experience in data engineering or a combined data and infrastructure role, with a proven track record of building production-grade data platforms from the ground up.
Deep expertise in Snowflake, including schema design, performance tuning, access control, and advanced cost optimization.
Strong, hands-on experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging).
Advanced proficiency in SQL and solid programming skills in Python for ETL and automation.
Working knowledge of Kubernetes, with the ability to deploy workloads, read pod logs, and manage Helm charts independently.
Extensive experience using Terraform for infrastructure provisioning, specifically for managing data platform components.
Hands-on experience with Datadog for observability, monitoring, and SLA visibility.
Familiarity with AWS data-adjacent services like RDS and S3.
Fluency in utilizing AI-based development assistants to write, review, and debug code efficiently.
Prior experience with Amazon Redshift is a plus.

Benefits

Comp & perks

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.