Intellisoft Technologies

Intellisoft Technologies

Tech Lead Data Engineer

Malvern, Pennsylvania, USA · Senior · contract, third party

Sponsorship not specifiedDetected 135 days ago
PythonJavaDistributed SystemsGitSQLDynamoDBRedshiftAWSTerraformCI/CDDatadogKafkaMachine LearningSparkAirflowData EngineeringAI OrchestrationCybersecurityEHR/EMRCommunicationMicrosoft Office

Stay score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 15 green-card filings in this occupation, 73% were for a worker who already held the job.

Third-party placement is common here

42% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 37 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: JPMorgan Chase & Co · Toyota · VERIZON (Remote Work Location)Files as an H-1B dependent employer.

Green-card follow-through: 57%

Of 7 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 464 days.73% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Hello, Please find the below requirement and let me know your thoughts Position: Tech Lead Data Engineer Location: Malvern, PA Duration: 6 Months ROLE_DESCRIPTION - Skills: Core Java| AWS | Python | PySpark | Event-Driven Pipelines | Data Architecture Summary We are seeking an experienced Tech lead- Data Engineer (15+ years) with a strong background in
  • Java, AWS, Python, PySpark, and event-driven architectures. You will design and build scalable batch and streaming data pipelines, optimize cloud data platforms, and deliver high-quality, reliable datasets that support analytics, reporting, and machine learning workloads. Key Responsibilities Architect, build, and maintain event-driven data pipelines using

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.
  • 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.

Requirements

  • 15+ years of professional experience in Data Engineering.

Skills

  • Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
  • Required 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.
  • Submission details Full Legal Name as per SSN:
  • Contact Number:

Visa & Work Authorization

  • (Yes/NO) Best time to reach (Mon-Fri): LinkedIn ID(Must): Initial entry of US (Visa status) and the current status Approval (year): Are you done with your current project
Apply directly at Intellisoft Technologies →Create a free account for alerts like thisView Intellisoft Technologies immigration profile

This listing is sourced directly from Intellisoft Technologies's careers page and normalized into a canonical job model.