Top 1 Devops/data engineer Jobs in Bethlehem, Pa

DevOps/Data Engineer
InfoCepts —Coopersburg, PA
- $140,000 a year
- Full-time
- Computer Science
- Master's degree
- Senior level
3d

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DevOps/Data Engineer
InfoCepts —Coopersburg, PA
Bachelor’s degree in computer science, engineering, or related field (master's degree is a plus). Upgrade and maintain third-party components such as ingress…
$140,000 a year
3d
Ingestion Technical Lead
Chubb —Philadelphia, PA
Partner with business and IT stakeholders and product owner to develop and implement new features and technical solutions, playing an active role in design/…
4d

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DevOps/Data Engineer

InfoCepts -
Coopersburg, PA

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Job Details

Full-time
$140,000 a year
3 days ago

Qualifications

Containerization systems
Performance monitoring
Data Integration (Data management)
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
Configuration management
NoSQL
Application deployment
Quality assurance experience within IT
ETL process automation
IT monitoring tools
Terraform
Cloud automation
Cloud migration
Redshift
DevOps automation
Real-time data processing implementation
Batch data processing
RDS database
Project stakeholder communication
Python

Full Job Description

Position: DevOps/Data Engineer

Location: Coopersburg, PA

Type of Employment: Full-Time

Compensation: USD 140K

Purpose of the Position: We are seeking a hybrid DevOps + Data Engineering profile, with a stronger emphasis on DevOps capabilities. The role owner will be required to modify & manage ETL pipelines as part of platform operations. The role owner should have hands on DevOps experience along with good understanding of data pipelines.

Key Result Areas and Activities:

1. DevOps requirements

Modify and manage data pipelines in DevOps setup

Good understating of CI/CD pipelines

2. Development responsibilities

I. Software Asset Maintenance & Upgrades

Upgrade and maintain third-party components such as ingress controllers, service meshes, monitoring agents, infrastructure libraries, and cloud-native tools.

Apply the latest versions and security patches to ensure compliance, stability, and performance.

II. Infrastructure as Code (IaC) Enhancements

Update and enhance IaC scripts to support version upgrades across development, QA, and production environments.

Validate changes through sandbox testing before deployment to production.

III. Compatibility & Dependency Management

Ensure upgraded components remain compatible with dependent services and applications.

Identify and mitigate potential breaking changes or dependency conflicts.

IV. Application Code Adjustments

Implement necessary code changes in supported languages (e.g., Python) to accommodate new versions or configuration requirements.

Address minor and moderate changes required for compatibility with upgraded components.

Update existing unit tests in response to the application code changes.

V. Security & Compliance

Apply immediate fixes for vulnerabilities.

Maintain adherence to organizational security and governance guidelines.

VI. Testing & Validation

Create and execute test strategies for validating the upgrades.

Execute existing unit tests and manual test cases post-upgrade.

Conduct functional testing of impacted applications to ensure end-to-end stability.

Validate application behaviour after code changes and infrastructure updates.

VII. Reporting & Governance

Provide weekly status reports detailing software versions, security posture, upgrade activities, and testing outcomes.

Participate in regular reviews and acceptance processes.

Essential Skills:

Terraform

CI/CD Pipelines

Platform upgrades and maintenance

QA exposure – integration & platform testing

Deep understanding of cloud data services (AWS) and migration strategies.

Strong proficiency in ETL/ELT pipelines and framework development using Python. Development may not be needed but understanding is required

Modifying & monitoring data pipelines for batch and real-time processing.

Exceptional communication skills for engaging executives and non-technical stakeholders.

Knowledge of containerization (Docker, Kubernetes) and orchestration for data workloads.

Desirable Skills:

Certifications in cloud platforms (AWS) and data engineering.

Experience with advanced analytics and machine learning pipelines.

Prior consulting experience or leading large-scale data transformation programs.

Knowledge of data extraction from SAP OData Services.

Experience with multiple relational and NoSQL databases (Must have - Redshift, RDS and Athena).

Experience with BI tools integration with enterprise data platforms.

Qualifications:

Bachelor’s degree in computer science, engineering, or related field (master's degree is a plus).

Demonstrated continued learning through one or more technical certifications or related methods.

At least 9+ years of relevant experience; two years may be substituted for a master’s degree.

Qualities:

Strong market intelligence and ability to identify emerging trends in Data & AI.
Ability to translate complex Data & AI concepts into business value propositions.
High integrity and commitment to building trust-based relationships.

"Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Location

Coopersburg, PA, USA

Years Of Exp

Above 9 years

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