Data Engineer
Lafayette, LA · On-site
$109K - $131K/yr
Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location ... • Learning opportunities and tuition assistance • Wellness and well-being programs #LI-KB5 ...
Data Engineer
Lafayette, LA · On-site
$109K - $131K/yr
Data Engineer Category: Business Consulting, Strategy and Digital Transformation Main location ... • Learning opportunities and tuition assistance • Wellness and well-being programs #LI-KB5 ...
Photonics Engineer II
Lafayette, LA · On-site
$110 - $125/hr
The Photonics Engineer II is responsible for driving innovation in applications and systems development for photonics products, with a focus on high‑performance optical cavities and locking ...
Photonics Engineer II
Lafayette, LA · On-site
$110 - $125/hr
The Photonics Engineer II is responsible for driving innovation in applications and systems development for photonics products, with a focus on high‑performance optical cavities and locking ...
Borderless Networks Senior Engineer
Lafayette, LA · On-site
$99K - $137K/yr
As a world-class IT provider, our people are the true market differentiator for GDS in the delivery of advanced IT solutions. GDS is seeking a Borderless Networks Senior Engineer to be based in ...
Borderless Networks Senior Engineer
Lafayette, LA · On-site
$99K - $137K/yr
As a world-class IT provider, our people are the true market differentiator for GDS in the delivery of advanced IT solutions. GDS is seeking a Borderless Networks Senior Engineer to be based in ...
Borderless Networks Senior Engineer
$99K - $137K/yr
As a world-class IT provider, our people are the true market differentiator for GDS in the delivery of advanced IT solutions. GDS is seeking a Borderless Networks Senior Engineer to be based in ...
Borderless Networks Senior Engineer
$99K - $137K/yr
As a world-class IT provider, our people are the true market differentiator for GDS in the delivery of advanced IT solutions. GDS is seeking a Borderless Networks Senior Engineer to be based in ...
Tank Builder / Welder (Nationwide)
Lafayette, LA · On-site
$28.25 - $31.25/hr
We specialize in designing, engineering, repairing, and constructing above-ground metal storage ... Great culture of teamwork, learning and development. * You'll be part of a team where YOU matter To ...
Tank Builder / Welder (Nationwide)
Lafayette, LA · On-site
$28.25 - $31.25/hr
We specialize in designing, engineering, repairing, and constructing above-ground metal storage ... Great culture of teamwork, learning and development. * You'll be part of a team where YOU matter To ...
Tank Builder / Welder (Nationwide)
Lafayette, LA · On-site
$28.25 - $31.25/hr
We specialize in designing, engineering, repairing, and constructing above-ground metal storage ... Great culture of teamwork, learning and development. * You'll be part of a team where YOU matter To ...
Quick apply
Tank Builder / Welder (Nationwide)
Lafayette, LA · On-site
$28.25 - $31.25/hr
We specialize in designing, engineering, repairing, and constructing above-ground metal storage ... Great culture of teamwork, learning and development. * You'll be part of a team where YOU matter To ...
Machine Learning Engineer information
See Lafayette, LA salary details
$30.1K - $44.1K
1% of jobs
$44.1K - $58.2K
1% of jobs
$58.2K - $72.3K
5% of jobs
$72.3K - $86.3K
6% of jobs
$98K is the 25th percentile. Wages below this are outliers.
$86.3K - $100.4K
14% of jobs
$100.4K - $114.5K
14% of jobs
The median wage is $121.5K / yr.
$114.5K - $128.5K
18% of jobs
$128.5K - $142.6K
14% of jobs
$145.5K is the 75th percentile. Wages above this are outliers.
$142.6K - $156.7K
12% of jobs
$156.7K - $170.7K
11% of jobs
$170.7K - $184.8K
5% of jobs
$30.1K
$123K
$184.8K
How much do machine learning engineer jobs pay per year?
As of Aug 8, 2026, the average yearly pay for machine learning engineer in Lafayette, LA is $122,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $148,000.00 per year, depending on experience, location, and employer.
What is a machine learning engineer?
Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.
What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?
To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.
What does a machine learning engineer do?
A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.
What are some common challenges faced by machine learning engineers when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.
What is the difference between Machine Learning Engineer vs Data Scientist?
| Aspect | Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Bachelor's or Master's in CS, Data Science, or related; experience with ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related; strong analytical skills |
| Work Environment | Develops scalable ML models, deploys algorithms into production | Analyzes data, builds models, interprets data insights |
| Industry Usage | Tech companies, startups, AI-focused firms | Finance, healthcare, marketing, research organizations |
While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.
More about Machine Learning Engineer jobs
What are popular job titles related to Machine Learning Engineer jobs in Lafayette, LA? For Machine Learning Engineer jobs in Lafayette, LA, the most frequently searched job titles are:
What cities near Lafayette, LA are hiring for Machine Learning Engineer jobs? Cities near Lafayette, LA with the most Machine Learning Engineer job openings:
$109K - $131K/yr
Full-time
Retirement, PTO
Re-posted 23 hours ago
CGI rating
7.1
Based on 19 frontline employees who took The Breakroom Quiz
147th of 223 rated it services
Job description
Data Engineer
Category: Business Consulting, Strategy and Digital Transformation
Main location: United States, Louisiana, Lafayette
Position ID:J0626-0770
Employment Type: Full Time
Position Description:
CGI is seeking a highly skilled Data Engineer to join our team supporting the Insight data platform. This role is responsible for the technical operation, reliability, and continuous improvement of a complex enterprise data pipeline that integrates ERP and operational data from multiple source systems into downstream analytics and reporting environments.
The successful candidate will own the technical health of the Insight pipeline, supporting data ingestion, change data capture (CDC), transformation processing, reporting integrations, and platform operations. This is a hands-on engineering role requiring strong experience across data integration, streaming technologies, cloud infrastructure, Snowflake, and Power BI. You will work closely with engineering, operations, and product teams to ensure data accuracy, platform stability, and successful delivery of enhancements and operational support activities across client environments.
Location: This role must be performed in CGI Lafayette, LA office.
Your future duties and responsibilities:
Data Pipeline & Platform Operations
• Configure, deploy, and tune Debezium source and integration connectors for Oracle, PostgreSQL, and SQL Server environments.
• Manage Kafka topics, offsets, Schema Registry artifacts, and connector configurations.
• Operate and optimize Kafka, Zookeeper, Schema Registry, and Kafka Connect workloads running on Azure Kubernetes Service (AKS) via Rancher.
• Coordinate controlled restarts, workload tuning, and resource allocation changes as needed.
Snowflake Engineering
• Develop and maintain Snowflake transformation logic, including:
o Streams
o Tasks
o Stored Procedures
o Retention configurations
o Query performance tuning
• Monitor and troubleshoot data processing workflows to ensure accuracy and reliability.
Power BI Development
• Build and extend Power BI semantic models and reporting solutions.
• Design and maintain:
o Data models
o DAX measures
o Row-Level Security (RLS)
o Incremental refresh processes
o Gateway and workspace configurations
• Optimize report and dataset performance against Snowflake-backed data environments.
Incident Resolution & Operational Support
• Resolve issues involving:
o Stale data
o Replication failures
o Schema and code defects
o Stored procedure issues
o Timeout conditions
o CDC and stale-stream problems
• Focus on root-cause remediation rather than temporary workarounds.
Source Database Activities
• Lead source database activities including:
o Refreshes
o Blue-Green deployments
o Cadence package upgrades
o Full-load resynchronization
o CDC re-enablement
o DA report validation
Automation & Observability
• Improve pipeline observability and operational automation.
• Support:
o IAP alert design
o Automated redeployment processes
o Connector configuration backup strategies
o Runbook creation and maintenance
• Update operational documentation following incident investigations and platform changes.
Required qualifications to be successful in this role:
• 8+ years of experience in Data Engineering, Data Platform Engineering, or related enterprise technology environments.
• 3+ years of hands-on experience supporting Kafka, Debezium, Snowflake, and cloud-based data integration platforms in production environments.
• Hands-on production experience with Debezium and Kafka, including: Source and sink connectors ,History topics ,Schema evolution ,Offset management ,Topic rewind and redeployment procedures
• Strong experience with Snowflake, including: Streams ,Tasks , Stored Procedures ,SnowSQL / Snowpipe , Query performance tuning,INFORMATION_SCHEMA diagnostics
• Strong understanding of source database internals, including: Oracle LogMiner SQL Server CDC , PostgreSQL CDC enablement and management
• Experience operating Azure and Kubernetes environments.
• Experience developing Power BI semantic models and reports.
• Experience with code reviews, build/release management, technical documentation, and operational runbooks.
Preferred Qualifications
• Experience supporting CGI Advantage Financials, HRM, Procurement, or comparable large ERP platforms.
• Experience with Terraform or similar Infrastructure-as-Code tools for connector management, secrets management, and Kubernetes deployments.
• Python or Java experience supporting validation utilities, pipeline tooling, and engineering accelerators.
• Familiarity with automation platforms, APM tools, monitoring solutions, and Jira-based workflows.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $156,700.00.
CGI's benefits are offered to eligible professionals on their first day of employment and include:
• 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
#LI-KB5
Skills:
What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.
Category: Business Consulting, Strategy and Digital Transformation
Main location: United States, Louisiana, Lafayette
Position ID:J0626-0770
Employment Type: Full Time
Position Description:
CGI is seeking a highly skilled Data Engineer to join our team supporting the Insight data platform. This role is responsible for the technical operation, reliability, and continuous improvement of a complex enterprise data pipeline that integrates ERP and operational data from multiple source systems into downstream analytics and reporting environments.
The successful candidate will own the technical health of the Insight pipeline, supporting data ingestion, change data capture (CDC), transformation processing, reporting integrations, and platform operations. This is a hands-on engineering role requiring strong experience across data integration, streaming technologies, cloud infrastructure, Snowflake, and Power BI. You will work closely with engineering, operations, and product teams to ensure data accuracy, platform stability, and successful delivery of enhancements and operational support activities across client environments.
Location: This role must be performed in CGI Lafayette, LA office.
Your future duties and responsibilities:
Data Pipeline & Platform Operations
• Configure, deploy, and tune Debezium source and integration connectors for Oracle, PostgreSQL, and SQL Server environments.
• Manage Kafka topics, offsets, Schema Registry artifacts, and connector configurations.
• Operate and optimize Kafka, Zookeeper, Schema Registry, and Kafka Connect workloads running on Azure Kubernetes Service (AKS) via Rancher.
• Coordinate controlled restarts, workload tuning, and resource allocation changes as needed.
Snowflake Engineering
• Develop and maintain Snowflake transformation logic, including:
o Streams
o Tasks
o Stored Procedures
o Retention configurations
o Query performance tuning
• Monitor and troubleshoot data processing workflows to ensure accuracy and reliability.
Power BI Development
• Build and extend Power BI semantic models and reporting solutions.
• Design and maintain:
o Data models
o DAX measures
o Row-Level Security (RLS)
o Incremental refresh processes
o Gateway and workspace configurations
• Optimize report and dataset performance against Snowflake-backed data environments.
Incident Resolution & Operational Support
• Resolve issues involving:
o Stale data
o Replication failures
o Schema and code defects
o Stored procedure issues
o Timeout conditions
o CDC and stale-stream problems
• Focus on root-cause remediation rather than temporary workarounds.
Source Database Activities
• Lead source database activities including:
o Refreshes
o Blue-Green deployments
o Cadence package upgrades
o Full-load resynchronization
o CDC re-enablement
o DA report validation
Automation & Observability
• Improve pipeline observability and operational automation.
• Support:
o IAP alert design
o Automated redeployment processes
o Connector configuration backup strategies
o Runbook creation and maintenance
• Update operational documentation following incident investigations and platform changes.
Required qualifications to be successful in this role:
• 8+ years of experience in Data Engineering, Data Platform Engineering, or related enterprise technology environments.
• 3+ years of hands-on experience supporting Kafka, Debezium, Snowflake, and cloud-based data integration platforms in production environments.
• Hands-on production experience with Debezium and Kafka, including: Source and sink connectors ,History topics ,Schema evolution ,Offset management ,Topic rewind and redeployment procedures
• Strong experience with Snowflake, including: Streams ,Tasks , Stored Procedures ,SnowSQL / Snowpipe , Query performance tuning,INFORMATION_SCHEMA diagnostics
• Strong understanding of source database internals, including: Oracle LogMiner SQL Server CDC , PostgreSQL CDC enablement and management
• Experience operating Azure and Kubernetes environments.
• Experience developing Power BI semantic models and reports.
• Experience with code reviews, build/release management, technical documentation, and operational runbooks.
Preferred Qualifications
• Experience supporting CGI Advantage Financials, HRM, Procurement, or comparable large ERP platforms.
• Experience with Terraform or similar Infrastructure-as-Code tools for connector management, secrets management, and Kubernetes deployments.
• Python or Java experience supporting validation utilities, pipeline tooling, and engineering accelerators.
• Familiarity with automation platforms, APM tools, monitoring solutions, and Jira-based workflows.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $156,700.00.
CGI's benefits are offered to eligible professionals on their first day of employment and include:
• 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
#LI-KB5
Skills:
- Apache Kafka
- Database Mgmt Systems DBMS
- Oracle SQL Server
- Postgre SQL
- Snowflake
What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members.
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.