Data Engineer I

eSimplicity

. Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data.

Posted 4/21/2026full-timeRemote • Maryland • 🇺🇸 United StatesMid-LevelSenior💰 $76,400 - $98,100 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudETLMicroservicesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Develop production-grade ETL workflows using Python and Microsoft-based frameworks to ingest, transform, and validate large-scale structured and unstructured data.
Implement schema enforcement, data validation, and quality checks to maintain integrity across diverse sources.
Optimize pipelines for performance, scalability, and fault tolerance using open-source and cloud-native patterns.
Manage Azure-based data solutions, including Data Lake Storage, Azure SQL, and cloud storage access from Python services.
Deploy workflow orchestration using Azure Data Factory or Foundry for scheduling, monitoring, and automation.
Ensure secure integration of APIs and services within the Microsoft ecosystem for seamless data exchange.
Build Python-based data services leveraging libraries such as Pandas, Pytorch, and other open-source frameworks for high-performance processing.
Implement logging, monitoring, and performance tuning for robust operational reliability.
Develop API endpoints and microservices to enable interoperability with analytics and ML platforms.
Work closely with data scientists, analysts, and cloud architects to deliver clean, reliable data for predictive modeling and real-time dashboards.
Apply data governance best practices, ensuring compliance, reproducibility, and auditability across workflows.
Contribute to Agile team processes, driving iterative improvements and shared problem-solving.
Work in Agile teams; drive iterative delivery, joint problem-solving, and continuous improvement.
Engage closely with project managers, technical leads, client representatives, and cross-functional teams to provide timely updates, resolve issues, and ensure alignment with business goals.
Translate technical specifications into code and design documents.

Requirements

What you’ll need

Bachelor’s degree or equivalent professional experience in Data Science, Computer Science, Engineering, or related field.
All candidates must pass public trust clearance through the U.S. Federal Government.
3+ years developing and deploying advanced statistical and machine learning models or supporting data pipelines for such models.
Proficiency in Python (Pandas required; scikit-learn, NumPy, and related libraries preferred).
Strong SQL skills and experience integrating data from relational databases.
Familiarity with open-source data processing libraries (Pandas, PyTorch, Tensorflow etc.).
Open-source frameworks for production-grade data pipelines.
ETL development using Python and Microsoft technologies.
Data validation, schema enforcement, and quality assurance.
API development within Microsoft ecosystem.
Performance optimization, logging, and monitoring for large-scale systems.
Azure Data Lake Storage integration and Azure SQL connectivity.
Workflow orchestration with Azure Data Factory.
Deployment and operation of Python-based data services in Azure.
Strong attention to detail with a commitment to delivering high-quality and accurate work.
Excellent communication skills, both written and verbal, with the ability to collaborate effectively across teams.
Proven ability to manage time and prioritize tasks in a fast-paced environment.
Demonstrated problem-solving skills with a proactive and solution-oriented mindset.

Benefits

Comp & perks

full healthcare benefits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonETL developmentdata validationschema enforcementAPI developmentperformance optimizationloggingmonitoringmachine learningstatistical modeling

Soft Skills

attention to detailcommunicationtime managementprioritizationproblem-solvingcollaborationproactive mindsetsolution-orientedadaptabilityteamwork

Certifications

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in Engineeringpublic trust clearance