DataJobs.io - Jobs in data science, machine learning and analytics.

Latest Jobs

2mo ago

Gen AI Data Engineer II

The Travelers Companies, Inc. Atlanta, GA

Atlanta, GA

2mo ago Closed

$127k - $209k/yr Full time Artificial Intelligence Cloud Architecture Data Engineer

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

Join The Travelers Companies, Inc. as a Gen AI Data Engineer II on site in Atlanta, GA. This role offers a salary range of USD 126,500 to 208,700 per year and focuses on designing, developing, and deploying scalable Gen AI data engineering solutions. You will collaborate with data scientists and engineers to integrate LLMs and Retrieval-Augmented Generation (RAG) into production-grade applications to drive real-world impact.

The organization emphasizes a collaborative, fast-paced culture that supports growth and innovation in data-driven initiatives. A robust benefits package and opportunities to contribute to meaningful projects are part of the everyday experience.

Benefits

Health Insurance
Retirement
Paid Time Off
Wellness Program
Volunteer Encouragement

Responsibilities

Design, develop, and deploy Gen AI data engineering solutions covering data ingestion, processing, storage, and analysis.
Collaborate with data scientists and engineers to build Retrieval-Augmented Generation (RAG) solutions and integrate large language models into production-grade applications.
Develop APIs and microservices to enable data access and integration across Gen AI platform components.
Implement code quality, testing, and documentation best practices to ensure reliability, maintainability, and scalability of systems.
Stay current with trends in data engineering and Gen AI, applying new approaches to enhance the platform.
Perform other duties as assigned.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
Minimum four years of experience; six years of programming/development experience preferred.
Proven experience as a Full Stack Developer or similar role, with a strong focus on data engineering and Gen AI applications.
Proficiency in Python and SQL.
Experience with front-end frameworks/libraries like React.js and back-end frameworks/libraries.
Familiarity with AWS and related services (AWS Lambda, S3, EC2, RDS, Redshift).
Experience with containerization and orchestration technologies such as Docker, Kubernetes, or ECS.
Strong understanding of database systems and data processing frameworks (SQL, NoSQL, Spark, Databricks).
Solid knowledge of Gen AI concepts such as Agentic Frameworks, RAG, LLM, Chunking, and Hyper-parameters.
Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
Strong communication and interpersonal skills for cross-functional collaboration.

Technologies

Python
SQL
React.js
AWS
AWS Lambda
S3
EC2
RDS
Redshift
Docker
Kubernetes
ECS
Spark
Databricks
NoSQL

View full job page →

2mo ago

Senior Data Engineer

CGI Group, Inc. Strongsville, OH

Strongsville, OH

2mo ago Closed

$57k - $154k/yr Full time Python Senior Apache Airflow

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

Senior Data Engineer at CGI Group, Inc., onsite in Strongsville, OH, with a salary range of USD 57,100 - 154,300 per year, supporting the ADI platform using Java and Python to build ingestion pipelines, enforce data integrity checks, and implement platform enhancements.

Responsibilities

Develop and maintain data pipelines using Java and Python
Implement data integrity checks including reconciliation, validation, and duplicate detection
Support ingestion from batch systems, APIs, and streaming platforms
Work with Oracle/SQL databases for data storage and querying
Troubleshoot production issues and ensure system stability
Collaborate with architects and other engineers to enhance platform capabilities
Participate in code reviews and ensure adherence to best practices
Act as backup technical lead when required

Requirements

6+ years of experience in Java and Python development
Strong experience with data pipelines and ETL processes
Experience with relational databases (Oracle/SQL)
Knowledge of APIs and data integration techniques
Strong debugging and troubleshooting skills
Experience with Kafka or streaming systems
Familiarity with data quality and reconciliation frameworks
Experience with scheduling tools (e.g., Airflow, Control-M)
Strong ownership mindset
Ability to work in fast-paced production environments
Good communication and collaboration skills

Technologies

Apache Kafka
ETL
Hadoop Hive
Java
Python
SQL
Oracle
Airflow
Control-M

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

View full job page →

2mo ago

Lead Data Engineer

OPERS Columbus, OH

Columbus, OH

2mo ago Closed

$112k - $140k/yr Full time Senior Analytics Data Analytics

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

OPERS in downtown Columbus, OH, offers a hybrid work arrangement and is seeking a lead data engineer to design and implement data pipelines to the data warehouse, clean and optimize data for analytics, and collaborate with cross functional teams to address business problems.

Responsibilities

Design and implement pathways to move raw data into the data warehouse.
Clean, structure, and optimize data for faster access and analytics.
Collaborate with cross functional teams, applying technical expertise and analytical insight to solve complex business challenges.

Requirements

Bachelor's degree in a related field with at least 6 years of hands-on engineering experience; or a total of 10 years of direct, relevant experience in lieu of a degree.
Experience planning, leading, and managing initiatives.
Experience with MS SQL Business Intelligence platforms such as SQL Server, T-SQL, and SSRS.
Proficiency in integrating and pulling data via APIs.
Previous experience with ETL and scheduling tools.
Proficiency in programming languages such as Python, Java, JavaScript, etc.
At least 2 years of supervisory experience.
Must be willing and able to abide by the OPERS Personal Trading Policy.

Technologies

SQL Server
T-SQL
SSRS
Python
Java
JavaScript

Benefits

A collaborative, team oriented atmosphere with colleagues who are knowledgeable and supportive of your success.
A rewarding career with a stable organization.
Competitive compensation package, including a salary range of $111,820.80 to $139,755.20 per year.
Excellent medical, dental, vision, long term disability, and life insurance coverage.
Professional growth through development opportunities and continuing education.
Pension plan plus a 457(b) retirement account with company match opportunity.
Onsite fitness center, cafeteria, and free onsite covered parking.
Generous time off and sick leave policy, plus 12 paid holidays each year.
Hybrid work environment with up to 3 days remote.

Who we are

Since 1935, OPERS has provided retirement security for Ohio's public workers and their families through retirement, disability, and survivor benefits. Located in downtown Columbus, near the German Village and the Short North District, OPERS blends innovation with a commitment to members. Our associates form a dynamic, diverse community dedicated to serving others, and joining OPERS means contributing to the futures of both members and staff. As Ohio's largest state pension fund, OPERS serves more than 700,000 public employees and retirees, and offers a competitive total rewards package along with resources for financial wellness and personal development.

View full job page →

2mo ago

Data Engineer

BOOZ, ALLEN & HAMILTON, INC. San Diego, CA

San Diego, CA

2mo ago Closed

$62k - $141k/yr Full time Big Data Data Engineer Data Integration

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

Join Booz Allen in San Diego, onsite, and access a comprehensive benefits package designed to support your health, finances, and professional growth. In the Data Engineer role, you will design and deploy data pipelines and platforms that bring together disparate data to enable insights for mission-driven projects. You will collaborate with analysts, developers, and data consumers in a fast-paced, agile environment.

Benefits

Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Responsibilities

Help design and implement advanced technology solutions and data engineering activities on mission-driven projects
Develop and deploy pipelines and platforms that organize disparate data and make it meaningful
Collaborate with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced agile environment
Advance analytical exploration and data examination while supporting the assessment, design, development, and maintenance of scalable platforms for clients

Requirements

3+ years of experience with ETL operations, including on-premises or cloud infrastructure
Experience writing software in Python
Experience with source control and collaboration tools, including Git or Atlassian tools
Knowledge of relational and non-relational database technologies, including SQL or GraphQL
Knowledge of automation and scripting on Linux or Windows operating systems
Ability to obtain a Secret clearance
Bachelor's degree

Technologies

Python
Git
Atlassian tools
SQL
GraphQL
Linux
Windows
AWS EMR
Redshift
SageMaker
Databricks
SQL Data Warehouse
Machine Learning service
Apache Spark
NVIDIA CUDA
Terraform
CloudFormation

Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

The projected compensation range for this position is $61,900 to $141,000 annually. The final offer is determined by location, education, experience, skills, and contract-specific requirements, and forms one component of Booz Allen's total compensation.

View full job page →

2mo ago

Cloud Data Engineer

Colony Brands, Inc. Monroe, WI

Monroe, WI

2mo ago Closed

Full time Backend Developer Python Analytics

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

What Colony Brands offers

Medical/Dental/Vision insurance
Wellness Program including Onsite Healthcare
Retirement Plans (401K & a company-funded Pension Plan)
Extensive Paid Time Off (PTO) benefits
Seven 4-day work weeks in the summer months to give our employees additional time off
Educational Assistance
Company Profit-Sharing
Company Product Discounts
Many more benefits

Role overview

Role focuses on migrating legacy data ecosystems toward AWS cloud native architectures, blending AI driven engineering and DevOps to deliver scalable, secure data solutions.

Responsibilities

Provide technical leadership in data and software development, defining and implementing modern, flexible architectures that bridge legacy systems and next generation cloud platforms.
Leverage cloud computing, big data technologies, and DevOps practices within an AWS environment to enable scalable, secure, and intelligent data solutions.
Transform traditional data ecosystems, including COBOL and JCL pipelines, into modern cloud native architectures while incorporating AI driven practices such as Model Context Protocol (MCP) and ongoing skills evolution.
Manage legacy-to-cloud transformation initiatives with a focus on scalability, automation, and intelligent data processing.

Requirements

BS in Computer Science or related field
3+ years of experience with modern programming languages; Python and SQL required
Experience with client-server applications, web-based applications, software integration, and database/data modeling design
Proven ability to master new technologies
Excellent communication, prioritization, and problem-solving skills
Strong analytical capabilities with a creative and innovative approach to solutions
Ability to ensure that solutions are secure, efficient, scalable, and supportable
Ability to communicate in business terms and build a strong relationship with stakeholders

Technologies

Python
SQL
PySpark
Apache Flink
Apache Kafka
Apache Spark
AWS
Redshift
RDS
Dynamo
COBOL
JCL
C#
C++
Java
ETL
ChatGPT
Bard
CoPilot
Model Context Protocol (MCP)

What sets this role apart

Direct involvement in legacy-to-cloud transformation, including COBOL and JCL workloads on AWS
Hands-on use of AI in the data engineering lifecycle, including agents, MCP, and automation
Opportunity to shape modern data architecture strategy while preserving critical business logic
Strong focus on scalability, automation, and intelligent data processing

Location

Monroe, Wisconsin onsite

Job details

Job category: IT

Employment type: Regular/Full-Time

View full job page →

2mo ago

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

2mo ago Closed

$56 - $80/hr Contract Apache Airflow Automation Contract Development

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

What you get with Yoh, a Day & Zimmermann Company, goes beyond a competitive hourly rate. Eligible employees receive a comprehensive benefits package and access to certification and training opportunities, plus a collaborative, hybrid onsite work environment in Jersey City, NJ. This contract role offers an hourly range of USD 56 - 80, with weekly epayroll and a pathway to contribute to mission-critical data platforms.

This contract Senior Data Engineer role centers on building and optimizing Airflow DAGs, modeling with dbt Core, and operating in Kubernetes/OpenShift environments on-prem, with on-site collaboration in Jersey City.

Responsibilities

Design, operate, and tune scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.
Develop Apache Airflow DAGs hands-on within Kubernetes-based on-prem OpenShift environments.
Create and deploy dbt Core models within an on-prem Kubernetes/OpenShift setup.
Architect workflow orchestration, data modeling, performance optimization, and distributed workload management in containerized environments.
Collaborate with infrastructure teams on Kubernetes operations, Airflow design and implementation, and on-prem dbt model development.

Requirements

10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments.
Hands-on experience deploying dbt Core and Apache Airflow on Kubernetes, specifically within an on-prem OpenShift environment.
Close collaboration with infrastructure teams on Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
Deep, practical experience with dbt and Airflow within Kubernetes-based, on-prem environments.

Technologies

Apache Airflow
dbt Core
Kubernetes
OpenShift

View full job page →

2mo ago

Senior Data Engineer

Uline Waukegan, IL

Waukegan, IL

2mo ago Closed

$96k - $148k/yr Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

Uline offers a comprehensive benefits package designed to support you and your family, including complete health coverage, a 401(k) with a 6% employer match starting day one, multiple bonus programs, paid holidays, generous paid time off, and a Tuition Assistance Program for ongoing education. This on-site role is based in Waukegan, IL with a salary range of USD 96,000 - 148,000 per year.

Responsibilities

Collaborate with business stakeholders to design and implement BI solutions and data warehouse architectures.
Work with project leads, analysts, and business users to deploy and validate data warehouse applications.
Develop sophisticated data engineering pipelines to support analytics and reporting.
Conduct unit, performance, and regression tests on ETL mappings.
Adhere to coding standards, perform code reviews, and improve quality practices.
Manage production deployments and coordinate cross-team efforts.

Requirements

Bachelor's degree in information technology or related field.
8+ years of data engineering experience.
5+ years hands-on experience developing ETL using Informatica PowerCenter.
Proven ability to write complex T-SQL and optimize database performance.
Strong troubleshooting skills for resolving data issues.
Knowledge of SSIS, Python, Azure, Snowflake, or Databricks is a plus.
Uline does not participate in the H1-B lottery.

Technologies

Informatica PowerCenter
SSIS
Python
Azure
Snowflake
Databricks
T-SQL

Benefits

Complete health insurance coverage and 401(k) with 6% employer match that starts day one
Multiple bonus programs
Paid holidays and generous paid time off
Tuition Assistance Program that covers professional continuing education

About ULINE

Uline, a family-owned company, is North America’s leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.