Data Engineer

Artech LLC

Malvern, PA

JOB DETAILS
SALARY
$55–$60 Per Hour
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache Spark, Architectural Services, Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cryptography, Data Analysis, Data Lake, Data Management, Data Modeling, Data Partitioning, Data Processing, Data Quality, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Distributed Computing, Electronic Medical Records, Git, Information/Data Security (InfoSec), Java, Machine Learning, Mentoring, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Simple Queue Service (SQS), Software Engineering, Team Player, Technical Leadership, Training Data Sets
LOCATION
Malvern, PA
POSTED
1 day ago

Job ID    : 84652-1
Job Title : Data Engineer
Location  : Malvern, PA
Duration  : 6 months + possible extension
Rate Range: $45 - $60/hour on W2/ C2C (All inclusive)

 

Introduction

We are seeking an experienced Tech Lead-Data Engineer with a strong background in Java, AWS, Python, PySpark, and event-driven architectures. The role involves designing and building scalable batch and streaming data pipelines, optimizing cloud data platforms, and delivering high-quality, reliable datasets that support analytics, reporting, and machine learning workloads.

Required Skills & Qualifications

  • 15 years of professional experience in Data Engineering.
  • Strong expertise in Python and PySpark for large-scale data processing.
  • Advanced hands-on experience with AWS (S3, Glue, EMR, Lambda, Step Functions, Kinesis/MSK, DynamoDB, Athena, Redshift).
  • Deep experience building event-driven and streaming data pipelines.
  • Strong SQL experience for analytical and ETL workloads.
  • Hands-on experience with workflow orchestration tools such as Airflow or Step Functions.
  • Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform or CloudFormation).
  • Strong understanding of distributed systems, Spark performance tuning, data modeling, and cloud cost optimization.
  • Knowledge of data security, encryption, networking, and compliance best practices in cloud environments.
  • Prior work experience at client or in client's Industry

Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

  • Strong design and architectural understanding.
  • Excellent communication and stakeholder interaction skills.
  • Ability to work in a globally distributed team.

Day-to-Day Responsibilities

  • Architect, build, and maintain event-driven data pipelines using AWS services such as Kinesis, MSK/Kafka, Lambda, Step Functions, SQS/SNS, and Glue/EMR.
  • Develop ETL/ELT workflows using Python and PySpark, ensuring performance, scalability, and cost efficiency.
  • Implement and optimize Spark-based data transformations, partitioning strategies, and data processing frameworks.
  • Design and manage data lake and warehouse structures using S3, Glue Catalog, Athena, and/or Redshift.
  • Build streaming solutions with checkpointing, stateful transformations, idempotency, and schema evolution.
  • Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
  • Implement data security best practices including IAM, encryption (KMS), networking, and governance.
  • Create reusable frameworks, internal libraries, and CI/CD pipelines for automated deployments.
  • Collaborate with data scientists, analysts, and business teams to deliver well-modeled, reliable datasets.
  • Lead design reviews, mentor junior engineers, and contribute to engineering best practices.

Company Benefits & Culture

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Inclusive and innovative work environment.

For immediate consideration please click APPLY to begin the screening process with Alex.

About the Company

A

Artech LLC