Pavago
More roles at PavagoData Engineer
Remote role where the employee must remain based in a particular country.
United States only
From the listing details: Source listing states candidate location: "United States, Remote"
Employer listed it 5 months ago · Added 2 weeks ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Position Type: Full-Time, Remote Working Hours: U.S.
- Where you can work from
- Location eligibility not confirmed
- Contract
Position Type: Full-Time, Remote Working Hours: U.S.
- Experience asked for
3+ years of experience in Data Engineering, Back-End Engineering, or Data Infrastructure roles
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “Required Experience & Skills”
- “Experience with at least one modern data warehouse (Snowflake, Redshift, BigQuery)”
Written as a nice-to-have
- “Preferred Experience & Skills”
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
Job Title: Data Engineer
Position Type: Full-Time, Remote Working Hours: U.S. client business hours (with flexibility for pipeline monitoring, deployments, and data refresh cycles)
About the Role
Our client is seeking a Data Engineer to design, build, and maintain scalable data infrastructure and reliable data pipelines that power analytics, reporting, and operational decision-making across the business.
This role requires strong software engineering fundamentals, deep experience with modern data stacks, and a passion for building clean, reliable, and high-performance data systems. The Data Engineer will ensure data flows seamlessly from source systems into warehouses, dashboards, and downstream applications while maintaining high standards for quality, governance, and scalability.
The ideal candidate is analytical, detail-oriented, and comfortable working across engineering, analytics, and business teams to deliver trustworthy and actionable data.
Responsibilities
Pipeline Development & Data Integration
• Build, maintain, and optimize ETL/ELT pipelines using Python, SQL, or Scala • Orchestrate workflows using Airflow, Prefect, Dagster, or similar orchestration tools • Ingest structured and unstructured data from APIs, SaaS platforms, databases, files, and streaming systems • Develop scalable connectors and automated ingestion workflows
Data Warehousing & Modeling
• Manage and optimize cloud data warehouses such as Snowflake, BigQuery, or Redshift • Design scalable schemas using star and snowflake modeling techniques • Implement partitioning, clustering, indexing, and performance optimization strategies • Build clean, analytics-ready datasets for business intelligence and reporting use cases
Data Quality, Governance & Reliability
• Implement validation checks, anomaly detection, logging, and monitoring to ensure data integrity • Enforce naming conventions, lineage tracking, and documentation standards using tools such as dbt or Great Expectations • Maintain audit-ready data processes and ensure compliance with GDPR, HIPAA, or industry-specific requirements • Monitor pipeline health and proactively resolve failures or inconsistencies
Streaming & Real-Time Data Processing
• Build and manage real-time data pipelines using Kafka, Kinesis, Pub/Sub, or similar platforms • Support low-latency ingestion and event-driven architectures for time-sensitive applications • Monitor streaming infrastructure and optimize throughput and reliability
Collaboration & Analytics Enablement
• Partner closely with analysts, data scientists, and business stakeholders to deliver reliable datasets • Support dashboard and reporting initiatives across Tableau, Looker, or Power BI • Translate business requirements into scalable data solutions and models • Maintain clear technical documentation for pipelines, schemas, and workflows
Infrastructure, DevOps & Automation
• Containerize data services using Docker and manage deployments through Kubernetes when applicable • Automate deployments using CI/CD pipelines such as GitHub Actions, Jenkins, or GitLab CI • Manage cloud infrastructure using Terraform, CloudFormation, or similar Infrastructure-as-Code tools • Continuously optimize performance, scalability, reliability, and cloud costs
What Makes You a Perfect Fit
• Passionate about building clean, reliable, and scalable data systems • Strong debugging and problem-solving mindset with high attention to detail • Balance of software engineering discipline and analytical thinking • Comfortable working cross-functionally with technical and non-technical stakeholders • Proactive communicator who takes ownership of data quality and reliability
Required Experience & Skills
• 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 (Snowflake, Redshift, 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
Preferred Experience & Skills
Requirements
- ·Preferred Experience & Skills
- ·What Does a Typical Day Look Like?
- ·A Data Engineer’s day revolves around maintaining reliable pipelines, improving data quality, and enabling teams with scalable access to trustworthy data. You will:
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Pavago, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 17d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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