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7d ago

Python Developer

Infosys Raleigh, NC

Raleigh, NC

7d ago

Full time Backend Developer Python Engineering

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Job Description

Python Developer at Infosys in Raleigh, NC (onsite), supporting the full software delivery lifecycle from requirements through production support.

Responsibilities

Support requirements elicitation by documenting assigned portions of business requirements following provided guidance
Lead and contribute to application design discussions, documenting design decisions to align the team on solution direction
Perform coding and integrate new features or updates into existing applications, with emphasis on keeping systems stable
Participate in code reviews, apply codebase changes, and maintain code repositories
Implement test strategies, analyze results, and coordinate bug fixes to meet software quality standards
Create user training programs, documentation, and support frameworks to enable smooth adoption of new software applications
Participate in production issue resolution and recommend preventive steps to improve system reliability
Maintain detailed records of code, testing methods, and support activities to strengthen the knowledge base for similar projects

Requirements

Collaborative spirit and excellent communication skills
Ability to manage end to end SDLC phases from requirement gathering to implementation
Skill in translating complex requirements into actionable development tasks
Strong interest in design plus hands-on coding experience
Proactive approach to testing, troubleshooting, and iterating on applications
Ability to work with cross-functional teams and support software integration

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7d ago

Mid-Level Java Developer

CGI Group, Inc. Lafayette, LA

Lafayette, LA

7d ago

$52k - $124k/yr Full time Backend Developer Agile Agile Methodologies

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Job Description

CGI Group, Inc. is building a modern services-based web application for a large government agency, and you can help develop features end to end with an Agile team. This role is based in Lafayette, LA with a hybrid working model acceptable, plus competitive compensation ranging from USD 52,200 to 123,800 per year.

Join a high-performing environment where you’ll contribute to architecture and implementation using a modern stack including Java, Spring Boot, Angular, PostgreSQL, and Docker. You’ll also have access to structured learning support and well-being programs, along with benefits such as insurance options, 401(k) matching, and paid time off.

Responsibilities

Help define and implement the ongoing architecture and development of a Java/Spring application.
Work across the full Agile lifecycle, including design, estimating, coding, code reviews, and software demonstrations.
Author and review web application code using Java, JavaScript, the Spring framework, Angular, SQL, and related technologies.
Participate in daily team discussions and code collaboration to support continuous progress.
Engage in client, industry, and end user discussions to provide a technical viewpoint and support solution fit.
Join technical design sessions to create sustainable, high-performing features and provide accurate estimates and development timelines.
Continuously improve development tools and technologies, and contribute to system architecture enhancement.
Author automated testing scripts for the application.
Apply database design fundamentals and optimize application access to backend data.
Maintain direct interaction with clients and end users to clarify software needs and discuss architectural and technical design choices.

Requirements

At least 4 years of professional experience in web application development.
Demonstrated understanding of modern Java, Angular, JavaScript, and SQL coding practices.
Experience with the Spring framework will be a significant advantage.
Familiarity with RESTful web services and using them to support a dynamic UI.
Knowledge of software development best practices and the Agile team lifecycle.
Familiarity with SQL and database tools to design and support backend systems.
Ability to code, organize work using best practices, and share knowledge to help grow team capability.
Capability to deliver quality code both independently and as part of a dynamic team, including participation in review and demonstrations.
Experience with modern Java development tools such as Maven, Git, Tomcat, Eclipse, Bamboo, etc.
Understanding of RESTful service development.
Confident communication skills with internal team members and customers.
Ability to quickly research, learn, and apply emerging software development technologies.
Bachelor’s degree in Computer Science, Computer Engineering, or another technical discipline.
Positive, can-do attitude and desire to contribute to team success.
US Citizenship is required. CGI is unable to sponsor international hires for this position.
All CGI offers of employment in the U.S. are contingent upon successfully completing a background investigation.

Technologies

Java, Spring Boot, Spring framework
Angular
JavaScript
SQL (PostgreSQL)
Docker
RESTful web services (REST APIs)
Maven, Git, Tomcat, Eclipse, Bamboo

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and well-being programs

Additional information: CGI Federal’s benefits are offered to eligible professionals on their first day of employment. CGI provides reasonable accommodations to qualified individuals with disabilities. To request accommodation to apply for a job, email US_Employment_Compliance@cgi.com with the Position ID.

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7d ago

Principal, Data Engineer - Reliability Data

PG&E Corporation Oakland, CA

Oakland, CA

7d ago

$155k - $265k/yr Full time Analytics Big Data Business Intelligence

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Job Description

As an expert in reliability data engineering and analytics, this role leads the design, governance, and evolution of enterprise data capabilities that support PG&E’s reliability and resilience strategy. Based in Oakland with a hybrid work model, you will build scalable data solutions that integrate multi-source datasets for performance assessment, risk modeling, and long-term grid planning.

Role Overview

You will serve as a recognized industry authority in reliability data engineering and analytics, setting technical direction for how reliability data and data pipelines are developed, integrated, and managed. The position emphasizes data integrity, auditability, and readiness for operational, regulatory, and strategic use across the organization.

The work includes defining a technical vision and establishing industry-leading practices for reliability data systems, ensuring rigorous standards for data transformation, metadata management, and data lineage. You will also act as an advisor to senior leadership on data strategy, data risk, and reliability performance insights.

Responsibilities

Form and lead teams focused on complex, data and analytics-centric problems with broad impact requiring in-depth analysis and judgment.
Contribute to solving uniquely complex data and analytics-centric issues with significant organizational impact.
Provide thought leadership on infrastructure that enables big data access and analysis with verified data quality and appropriately captured, cataloged metadata.
Partner with business and other departments to develop requirements and translate them into complex cross-functional systems.
Assist other programmers/analysts with unusual or complex problems spanning multiple functional and technology areas.
Coordinate with other departments on cross-team work needs and requirements.
Drive departmental standards, norms, and new goals or objectives.
Communicate recommendations both orally and in writing.
Mentor and guide less experienced colleagues.

Required Qualifications

BA/BS in Computer Science, Management Information Systems, related field of study, or equivalent experience.
Ten years of experience with multiple data engineering and ETL ecosystems, including Palantir Foundry, Spark, Informatica, SAP BODS, and OBIEE.
Proven track record implementing data warehouses and data lakes within the previous five years.
Experience leading development teams.
Three years of experience in machine learning algorithm deployment and machine learning operations.
Master’s degree in Computer Science, Management Information Systems, or related field, or equivalent experience.

Technologies and Tools

Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE
Unit testing, CI/CD, source control
Data warehouses, data lakes
Machine learning algorithm deployment, machine learning operations
Big data, data transformation
Metadata management, data lineage
Business intelligence and data access tool

Department Context

This role sits within the System Performance, Reliability and Resiliency Strategy team in the Electric Transmission and Distribution Engineering organization. The Reliability Data team is responsible for developing and curating reliability data and data pipelines to meet auditable standards.

Work Model and Location

Hybrid work model requiring in-office attendance at least two or three days per week.
Additional remote days may be available based on business needs.
Headquarters is located in the Oakland General Office.

Compensation and Benefits

Salary range: USD 155,000 - 265,000 per year
Bay Area minimum: $155,000
Bay Area mid-point: $210,000
Bay Area maximum: $265,000

Benefits include discretionary incentive compensation programs.

Knowledge, Skills, Abilities, and Competencies

Business intelligence and data access tool expertise.
Knowledge of software engineering principles such as unit testing, CI/CD, and source control.

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7d ago

Senior Data Engineer

HCA Healthcare Nashville, TN

Nashville, TN

7d ago

Full time Senior Big Data Cloud

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Job Description

HCA Healthcare is hiring a Senior Data Engineer in Nashville, TN (onsite) to lead enterprise data platforms and modern ETL/ELT solutions on Google Cloud Platform.

Responsibilities

Act as the technical lead for enterprise data engineering and cloud platform initiatives
Lead architecture and implementation of scalable ETL/ELT pipelines for analytics and operational systems
Design and optimize data models, BigQuery datasets, and enterprise data warehouses
Build batch and streaming pipelines using Cloud Composer (Airflow), Pub/Sub, and Python
Design, build, and maintain Google Cloud infrastructure using Terraform and Infrastructure as Code best practices
Administer and support cloud capabilities including IAM, Cloud Storage, Cloud SQL, Cloud Run, networking, logging, monitoring, and security controls
Establish CI/CD pipelines and automate infrastructure and application deployments
Implement data quality, lineage, validation, monitoring, and observability standards
Optimize BigQuery workloads using efficient SQL, data modeling, partitioning, and clustering to improve performance and cost efficiency
Optimize SQL performance, including partitioning, indexing, and query execution for large datasets
Mentor engineers through code and architecture reviews and help establish engineering standards
Collaborate with business stakeholders to translate requirements into scalable technical solutions
Partner with Architecture, Security, Infrastructure, and Business teams
Provide technical direction and architectural guidance, including leading solution design and architecture reviews
Drive engineering standards, governance, and cloud best practices across teams

Requirements

5+ years of experience in Information Technology (required)
Bachelor's Degree or equivalent experience (preferred)
3+ years of experience in a technical lead role or mentoring engineering teams (preferred)
Excellent verbal and written communication skills
Ability to establish effective working relationships and manage multiple priorities
Understanding the vision of enterprise development tools and platforms

Skills & Technologies

Google Cloud Platform, BigQuery, Cloud Composer (Airflow), Pub/Sub, Python
Terraform, Infrastructure as Code, IAM, Cloud Storage, Cloud SQL, Cloud Run
Cloud Monitoring, Cloud Logging, CI/CD, Git
Azure DevOps, GitHub, Docker, Kubernetes (preferred)
REST APIs, .NET, Java, Spring Boot, Angular, SSRS, SSIS (preferred)

Leadership Expectations

Provide technical direction and architectural guidance
Lead solution design and architecture reviews
Mentor engineers and review code and infrastructure changes
Drive engineering standards, governance, and cloud best practices

Travel

Travel may be required from time to time, but not on a regular basis

Benefits

Comprehensive benefits for medical, prescription drug, dental, vision, behavioral health, and telemedicine services
Wellbeing support including free counseling and referral services
Time away from work programs: paid time off, paid family leave, long- and short-term disability coverage, and leaves of absence
Savings and retirement resources including a 401(k) Plan with a 100% match on 3% to 9% of pay (based on years of service)
Employee Stock Purchase Plan
Flexible spending accounts
Preferred banking partnerships
Retirement readiness tools
Rollover support and financial wellbeing counseling
Education support through tuition assistance, student loan assistance, certification support, dependent scholarships, and a partnership with Galen College of Nursing
Additional benefits for fertility and family building, adoption assistance, life insurance, supplemental health protection plans, auto and home insurance, legal counseling, identity theft protection, and consumer discounts
Note: Eligibility for benefits may vary by location

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7d ago

Junior Azure Data Engineer

UniFirst Wilmington, MA

Wilmington, MA

7d ago

$68k - $85k/yr Full time Analytics Azure Azure Data Engineer

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Job Description

UniFirst is seeking a Junior Azure Data Engineer to help deliver reliable data pipelines and support the migration from a legacy data warehouse environment to Azure Fabric Lakehouse/Warehouse. This hybrid role is based in Wilmington, Massachusetts and emphasizes SQL and Python development, automation, and operational support for analytics and reporting across business functions.

Key Responsibilities

Support data-pipeline development and migration activities from the Legacy Data Warehouse (LDW) to Azure Fabric Lakehouse/Warehouse.
Write efficient SQL queries to enable data extraction, transformation, and validation across SQL Server 2022, Azure SQL MI, and Synapse.
Develop and debug Python scripts for automation, file ingestion, and data-quality checks.
Assist in building Fabric dataflows, pipelines, and lakehouse tables following enterprise data-modeling standards.
Work with senior engineers on ETL design, optimization, and performance tuning.
Perform unit testing, participate in peer code reviews, and maintain technical documentation in Confluence and Git.
Monitor data-load processes and help resolve job failures, including Zephyr test case execution and JIRA updates.
Continuously learn emerging Azure technologies such as Databricks, Fabric, and Power BI, and contribute to process-improvement efforts.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
1–2 years of hands-on experience with SQL (T-SQL preferred) and Python scripting.
Basic understanding of data-warehousing concepts, including ETL, staging, and fact/dimension modeling.
Exposure to Azure services such as Data Factory, Synapse, or Fabric components.
Strong curiosity, analytical mindset, and attention to detail.
Enthusiasm for learning enterprise-scale systems and delivering high-quality, production-ready code.

Technologies and Tools

SQL, T-SQL, Python, Azure Fabric, Azure Fabric Lakehouse, Azure Fabric Warehouse, SQL Server 2022, Azure SQL MI, Synapse, Data Factory, Fabric dataflows, lakehouse tables, ETL, Confluence, Git, Zephyr, JIRA, Databricks, Power BI.

Compensation and Benefits

The estimated annual salary range for this position is $68,000 to $85,000.

401K with Company Match
Profit Sharing
Health Insurance
Employee Assistance Program
Life Insurance
Paid Time Off
Tuition Reimbursement
30% Employee Discount
Employee Referral Bonuses

Location

Wilmington, Massachusetts (hybrid). This role requires on-site presence in Wilmington, MA, and candidates must reside within commuting distance to the greater Boston area.

Job Details

Job ID: 2605317

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7d ago

Data Engineer

Lennar Miami, FL

Miami, FL

7d ago

Full time Big Data Cloud Data Engineering Data Architecture

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Job Description

Lennar is building a proactive talent community for Data Engineers interested in future roles within Enterprise Data and Analytics. Based on background and experience, contributors may design and operationalize scalable data engineering solutions, pipelines, and data platforms using modern cloud technologies.

Role Focus

Design, build, and operationalize scalable data engineering solutions for Lennar data platforms and products.
Develop ETL and ELT pipelines that combine data from diverse sources.
Create data ingestion and integration solutions across batch, incremental, change data capture (CDC), streaming, and API-based approaches.
Design and implement data models, data warehouses, data lakes, and modern cloud data platforms.
Develop reliable, reusable, and maintainable transformation processes that support analysts, data scientists, and business teams with trusted data.

Data Platform Quality, Reliability, and Operations

Improve data quality, reliability, observability, monitoring, and error handling across pipelines and platforms.
Build automated testing, CI/CD workflows, version control practices, and other engineering standards to improve delivery quality and speed.
Troubleshoot complex data and platform issues and identify opportunities to enhance performance, scalability, and maintainability.

Collaboration and Data Access

Partner with data analysts, data scientists, product teams, software engineers, and business stakeholders to understand requirements and deliver data solutions supporting business outcomes.
Help create self-service data capabilities that make it easier for teams across Lennar to access and use data.

Governance, Security, and Ongoing Improvement

Contribute to data governance, security, compliance, and access-control practices.
Stay current with emerging data technologies and engineering practices and help identify where they can be applied at Lennar.

Required and Preferred Qualifications

Professional experience designing, developing, and supporting data pipelines, platforms, products, or related engineering solutions.
Strong understanding of data engineering fundamentals, including data modeling, transformation, ingestion, testing, monitoring, and data quality.
Strong SQL skills and experience with one or more programming languages, such as Python.
Experience working with cloud-based data platforms and modern data engineering technologies.
Strong problem-solving and analytical skills, including the ability to break down complex technical challenges.
Ability to collaborate effectively with technical teams, business stakeholders, and data consumers.
Growth mindset and willingness to learn new technologies, tools, and approaches.
Interest in understanding the business context behind data and building solutions that create meaningful business value.
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field is preferred, or equivalent professional experience.
For more senior opportunities: experience with data architecture, technical leadership, mentoring, platform strategy, and designing highly scalable data solutions.

Technologies

AWS, S3, EMR, Glue, Lambda, EKS, EC2, CloudWatch
Snowflake, dbt, SQL, Python
ETL/ELT, change data capture (CDC), REST APIs, streaming
Airflow, Prefect, GitHub, CI/CD, automated testing
Data modeling, data warehousing, data lakes, data architecture, data governance, security, access controls, data quality
Qlik Replicate

Location and Work Setting

Miami, FL (onsite)
Primarily a sedentary office position requiring the ability to operate computer equipment and perform associated physical tasks, including bending, stooping, reaching, and lifting and moving and carrying up to 25 lbs. Finger dexterity is necessary.
Travel may be required up to 10% of the time to locations within the Lennar family of companies.

Benefits

Health insurance plans (Medical, Dental, Vision)
401(k) Retirement Plan with $1 for $1 Company Match up to 5%
Paid Parental Leave
Associate Assistance Plan
Education Assistance Program
Up to $30,000 in Adoption Assistance
Up to three weeks of vacation annually
Holiday, Sick Leave, and Personal Day policies
New Hire Referral Bonus Program
Home Purchase Discounts
Everyone’s Included Day
Additional details available at Lennartotalrewards.com

Talent Community Note

This is a proactive posting for Lennar’s Data Engineering talent community and is not tied to a specific current opening. By expressing interest, you can introduce yourself to the team and be considered for future Data Engineering opportunities aligned with your experience, technical interests, and career goals.

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7d ago

People Data Engineer

Avispa Technology Pleasanton, CA

Pleasanton, CA

7d ago

$60 - $60/hr Contract Business Intelligence Data Analytics Data Architecture

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Job Description

Avispa Technology is hiring a People Data Engineer to help build and operate the data and AI foundation behind people analytics, workforce insights, and AI-enabled solutions. This hybrid contract role supports scalable people-data models, integrations connecting Workday with HR systems, and production-ready governance, quality monitoring, and support.

What you’ll do

Design, build, and maintain scalable people-data models in the enterprise data warehouse.
Develop and support data pipelines, APIs, interfaces, and integrations connecting Workday and other HR systems to the enterprise data platform.
Convert approved business definitions and product requirements into technical data specifications, reusable data assets, and consistent architecture patterns for dashboards, analytics products, scorecards, and approved AI use cases.
Maintain technical documentation covering data models, integrations, transformation logic, dependencies, and platform components.
Collaborate with the enterprise data team, HR technology, security, and people functional teams on source-data onboarding, engineering dependencies, release planning, and production implementation.
Set up automated data quality monitoring, validation rules, reconciliation controls, exception alerts, and end-to-end data lineage.
Define production support, incident management, and escalation practices, while monitoring platform health, pipeline performance, refresh reliability, and recurring failures to reduce reliance on manual checks.
Implement technical controls for data access, privacy, confidentiality, retention, and sensitive-data handling, and help operationalize governance requirements through the people-data dictionary.
Ensure sensitive data structure changes are reviewed, tested, documented, and released appropriately.

What you bring

5+ years of progressive experience in data engineering, analytics engineering, data architecture, or a related field, including building production-grade pipelines, models, integrations, and quality controls.
Bachelor’s degree in computer science, data engineering, information systems, or a related field, or equivalent practical experience.
Strong skills in SQL, Python, data modeling, ETL/ELT, APIs, cloud data platforms, version control, and automated testing.
Preferred: experience with HR data, Workday, enterprise data warehouses, sensitive-data governance, or AI/ML data enablement.
Preferred: experience with Databricks or a comparable cloud data ecosystem and BI semantic models.