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Senior Data Engineer

Varite, Inc

Malvern, PA

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JOB DETAILS
SALARY
$53.57–$55.14 Per Hour
SKILLS
AWS Lambda, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache Spark, Best Practices, Cloud Computing, 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, Mentoring, Performance Tuning/Optimization, Python Programming/Scripting Language, SQL (Structured Query Language), Simple Queue Service (SQS), Training Data Sets
LOCATION
Malvern, PA
POSTED
22 days ago
Pay Rate Range: $53.57 - 55.14/hr.
REQUIREMENT_ID-10730868

Role Name - Senior Data Engineer

Job Description:
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.

Required Qualifications
Overall 8+ yrs of experience
5+ years of professional experience in Data Engineering
Must have an experience on Gule jobs and Lambda,
Experience of working on Java is an advantage
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

Skills: Digital : Spring Boot

Experience Required: 8-10 years

Skills:
Category Name Required Importance Experience
SkillCategoryTest1_MN Digital : Amazon Web Service(AWS) Cloud Computing Yes 1 >7 years

About the Company

V

Varite, Inc

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