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Data Engineer

1 day, 4 hours ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Airflow AWS Azure CI/CD CloudFormation Dagster dbt Docker GCP GitHub Actions GitLab CI HIPAA Jenkins Kafka Kubernetes Looker Power BI Prefect Python Scala Snowflake SQL Tableau Terraform
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Pavago

Pavago

Pavago specializes in connecting small and medium-sized businesses with skilled offshore talent from Pakistan and Latin America, offering a streamlined recruitment process that enables the hiring, onboarding, and payment of remote employees at signific...

IT Services
Founded 2023
View All Jobs 60

Description

  • Build, maintain, and optimize ETL/ELT pipelines using Python, SQL, or Scala.
  • Orchestrate data workflows using Airflow, Prefect, Dagster, or similar tools.
  • Ingest structured and unstructured data from APIs, SaaS platforms, databases, files, and streaming systems.
  • Design and manage cloud data warehouses and scalable schemas for analytics-ready datasets.
  • Implement data quality checks, monitoring, logging, lineage, and documentation standards.
  • Build and support real-time streaming pipelines for low-latency, event-driven use cases.
  • Partner with analysts, data scientists, and business stakeholders to deliver reliable datasets and reporting support.
  • Containerize and deploy data services, automate deployments, and manage infrastructure as code.
  • Troubleshoot failed jobs, monitor pipeline health, and resolve data inconsistencies proactively.
  • Document data models, transformations, pipelines, and workflows for maintainability and governance.

Requirements

  • 3+ years of experience in Data Engineering, Back-End Engineering, or Data Infrastructure roles.
  • Strong proficiency in Python and SQL.
  • Experience with at least one modern data warehouse such as Snowflake, Redshift, or BigQuery.
  • Hands-on experience with orchestration tools such as Airflow or Prefect.
  • Strong understanding of ETL/ELT pipelines, data modeling, and data transformation workflows.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure.
  • Experience with dbt for data modeling and transformation management is preferred.
  • Streaming and event-driven data pipeline experience with Kafka, Kinesis, or Pub/Sub is preferred.
  • Experience with cloud-native data services such as AWS Glue, GCP Dataflow, or Azure Data Factory is preferred.
  • Familiarity with Docker, Kubernetes, Terraform, or CI/CD workflows is preferred.
  • Background in regulated industries such as healthcare, fintech, or enterprise SaaS is preferred.
  • Experience optimizing warehouse costs and query performance at scale is preferred.
  • Full-time availability with remote work and the ability to work U.S. client business hours, with some flexibility for pipeline monitoring, deployments, and data refresh cycles.

Benefits

  • Full-time remote position.
  • Work on U.S. client business hours with flexibility for operational needs.
  • Opportunity to build core data infrastructure that powers analytics and business decisions.
  • Exposure to modern data stack tools and cloud data platforms.
  • Interview process includes a technical assessment and direct client/team interviews.

Interested in this position?

Apply directly on the company website

Apply Now

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